results_02.html 2.3 MB

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  1. <!DOCTYPE html>
  2. <html>
  3. <head>
  4. <meta charset="utf-8" />
  5. <meta name="generator" content="pandoc" />
  6. <meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
  7. <title>Results 02</title>
  8. <script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
  9. // be compatible with the behavior of Pandoc < 2.8).
  10. document.addEventListener('DOMContentLoaded', function(e) {
  11. var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
  12. var i, h, a;
  13. for (i = 0; i < hs.length; i++) {
  14. h = hs[i];
  15. if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
  16. a = h.attributes;
  17. while (a.length > 0) h.removeAttribute(a[0].name);
  18. }
  19. });
  20. </script>
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) 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  49. </script>
  50. <style>h1 {font-size: 34px;}
  51. h1.title {font-size: 38px;}
  52. h2 {font-size: 30px;}
  53. h3 {font-size: 24px;}
  54. h4 {font-size: 18px;}
  55. h5 {font-size: 16px;}
  56. h6 {font-size: 12px;}
  57. code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
  58. pre:not([class]) { background-color: white }</style>
  59. <script>/*! jQuery UI - v1.11.4 - 2016-01-05
  60. * http://jqueryui.com
  61. * Includes: core.js, widget.js, mouse.js, position.js, draggable.js, droppable.js, resizable.js, selectable.js, sortable.js, accordion.js, autocomplete.js, button.js, dialog.js, menu.js, progressbar.js, selectmenu.js, slider.js, spinner.js, tabs.js, tooltip.js, effect.js, effect-blind.js, effect-bounce.js, effect-clip.js, effect-drop.js, effect-explode.js, effect-fade.js, effect-fold.js, effect-highlight.js, effect-puff.js, effect-pulsate.js, effect-scale.js, effect-shake.js, effect-size.js, effect-slide.js, effect-transfer.js
  62. * Copyright jQuery Foundation and other contributors; Licensed MIT */
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this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function 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e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
  64. })),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return 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parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
  65. i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
  66. t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
  67. },_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal 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class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
  70. <style type="text/css">
  71. .tocify {
  72. width: 20%;
  73. max-height: 90%;
  74. overflow: auto;
  75. margin-left: 2%;
  76. position: fixed;
  77. border: 1px solid #ccc;
  78. border-radius: 6px;
  79. }
  80. .tocify ul, .tocify li {
  81. list-style: none;
  82. margin: 0;
  83. padding: 0;
  84. border: none;
  85. line-height: 30px;
  86. }
  87. .tocify-header {
  88. text-indent: 10px;
  89. }
  90. .tocify-subheader {
  91. text-indent: 20px;
  92. display: none;
  93. }
  94. .tocify-subheader li {
  95. font-size: 12px;
  96. }
  97. .tocify-subheader .tocify-subheader {
  98. text-indent: 30px;
  99. }
  100. .tocify-subheader .tocify-subheader .tocify-subheader {
  101. text-indent: 40px;
  102. }
  103. .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
  104. text-indent: 50px;
  105. }
  106. .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
  107. text-indent: 60px;
  108. }
  109. .tocify .tocify-item > a, .tocify .nav-list .nav-header {
  110. margin: 0px;
  111. }
  112. .tocify .tocify-item a, .tocify .list-group-item {
  113. padding: 5px;
  114. }
  115. .tocify .nav-pills > li {
  116. float: none;
  117. }
  118. </style>
  119. <script>/* jquery Tocify - v1.9.1 - 2013-10-22
  120. * http://www.gregfranko.com/jquery.tocify.js/
  121. * Copyright (c) 2013 Greg Franko; Licensed MIT */
  122. // Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
  123. (function(tocify) {
  124. // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
  125. "use strict";
  126. // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
  127. tocify(window.jQuery, window, document);
  128. }
  129. // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  130. (function($, window, document, undefined) {
  131. // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
  132. "use strict";
  133. var tocClassName = "tocify",
  134. tocClass = "." + tocClassName,
  135. tocFocusClassName = "tocify-focus",
  136. tocHoverClassName = "tocify-hover",
  137. hideTocClassName = "tocify-hide",
  138. hideTocClass = "." + hideTocClassName,
  139. headerClassName = "tocify-header",
  140. headerClass = "." + headerClassName,
  141. subheaderClassName = "tocify-subheader",
  142. subheaderClass = "." + subheaderClassName,
  143. itemClassName = "tocify-item",
  144. itemClass = "." + itemClassName,
  145. extendPageClassName = "tocify-extend-page",
  146. extendPageClass = "." + extendPageClassName;
  147. // Calling the jQueryUI Widget Factory Method
  148. $.widget("toc.tocify", {
  149. //Plugin version
  150. version: "1.9.1",
  151. // These options will be used as defaults
  152. options: {
  153. // **context**: Accepts String: Any jQuery selector
  154. // The container element that holds all of the elements used to generate the table of contents
  155. context: "body",
  156. // **ignoreSelector**: Accepts String: Any jQuery selector
  157. // A selector to any element that would be matched by selectors that you wish to be ignored
  158. ignoreSelector: null,
  159. // **selectors**: Accepts an Array of Strings: Any jQuery selectors
  160. // The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure
  161. selectors: "h1, h2, h3",
  162. // **showAndHide**: Accepts a boolean: true or false
  163. // Used to determine if elements should be shown and hidden
  164. showAndHide: true,
  165. // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
  166. // Used to display any of the table of contents nested items
  167. showEffect: "slideDown",
  168. // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
  169. // The time duration of the show animation
  170. showEffectSpeed: "medium",
  171. // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
  172. // Used to hide any of the table of contents nested items
  173. hideEffect: "slideUp",
  174. // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
  175. // The time duration of the hide animation
  176. hideEffectSpeed: "medium",
  177. // **smoothScroll**: Accepts a boolean: true or false
  178. // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
  179. smoothScroll: true,
  180. // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
  181. // The time duration of the smoothScroll animation
  182. smoothScrollSpeed: "medium",
  183. // **scrollTo**: Accepts Number (pixels)
  184. // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
  185. scrollTo: 0,
  186. // **showAndHideOnScroll**: Accepts a boolean: true or false
  187. // Determines if table of contents nested items should be shown and hidden while scrolling
  188. showAndHideOnScroll: true,
  189. // **highlightOnScroll**: Accepts a boolean: true or false
  190. // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
  191. highlightOnScroll: true,
  192. // **highlightOffset**: Accepts a number
  193. // The offset distance in pixels to trigger the next active table of contents item
  194. highlightOffset: 40,
  195. // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
  196. // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
  197. theme: "bootstrap",
  198. // **extendPage**: Accepts a boolean: true or false
  199. // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
  200. extendPage: true,
  201. // **extendPageOffset**: Accepts a number: pixels
  202. // How close to the bottom of the page a user must scroll before the page is extended
  203. extendPageOffset: 100,
  204. // **history**: Accepts a boolean: true or false
  205. // Adds a hash to the page url to maintain history
  206. history: true,
  207. // **scrollHistory**: Accepts a boolean: true or false
  208. // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
  209. scrollHistory: false,
  210. // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
  211. // # character) will be generated.
  212. //
  213. // "compact" (default) - #CompressesEverythingTogether
  214. // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
  215. // function(text, element){} - Your own hash generation function that accepts the text as an
  216. // argument, and returns the hash value.
  217. hashGenerator: "compact",
  218. // **highlightDefault**: Accepts a boolean: true or false
  219. // Set's the first TOC item as active if no other TOC item is active.
  220. highlightDefault: true
  221. },
  222. // _Create
  223. // -------
  224. // Constructs the plugin. Only called once.
  225. _create: function() {
  226. var self = this;
  227. self.extendPageScroll = true;
  228. // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
  229. self.items = [];
  230. // Generates the HTML for the dynamic table of contents
  231. self._generateToc();
  232. // Adds CSS classes to the newly generated table of contents HTML
  233. self._addCSSClasses();
  234. self.webkit = (function() {
  235. for (var prop in window) {
  236. if (prop) {
  237. if (prop.toLowerCase().indexOf("webkit") !== -1) {
  238. return true;
  239. }
  240. }
  241. }
  242. return false;
  243. }());
  244. // Adds jQuery event handlers to the newly generated table of contents
  245. self._setEventHandlers();
  246. // Binding to the Window load event to make sure the correct scrollTop is calculated
  247. $(window).on("load", function() {
  248. // Sets the active TOC item
  249. self._setActiveElement(true);
  250. // Once all animations on the page are complete, this callback function will be called
  251. $("html, body").promise().done(function() {
  252. setTimeout(function() {
  253. self.extendPageScroll = false;
  254. }, 0);
  255. });
  256. });
  257. },
  258. // _generateToc
  259. // ------------
  260. // Generates the HTML for the dynamic table of contents
  261. _generateToc: function() {
  262. // _Local variables_
  263. // Stores the plugin context in the self variable
  264. var self = this,
  265. // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
  266. firstElem,
  267. // Instantiated variable that will store the top level newly created unordered list DOM element
  268. ul,
  269. ignoreSelector = self.options.ignoreSelector;
  270. // Determine the element to start the toc with
  271. // get all the top level selectors
  272. firstElem = [];
  273. var selectors = this.options.selectors.replace(/ /g, "").split(",");
  274. // find the first set that have at least one non-ignored element
  275. for(var i = 0; i < selectors.length; i++) {
  276. var foundSelectors = $(this.options.context).find(selectors[i]);
  277. for (var s = 0; s < foundSelectors.length; s++) {
  278. if (!$(foundSelectors[s]).is(ignoreSelector)) {
  279. firstElem = foundSelectors;
  280. break;
  281. }
  282. }
  283. if (firstElem.length> 0)
  284. break;
  285. }
  286. if (!firstElem.length) {
  287. self.element.addClass(hideTocClassName);
  288. return;
  289. }
  290. self.element.addClass(tocClassName);
  291. // Loops through each top level selector
  292. firstElem.each(function(index) {
  293. //If the element matches the ignoreSelector then we skip it
  294. if ($(this).is(ignoreSelector)) {
  295. return;
  296. }
  297. // Creates an unordered list HTML element and adds a dynamic ID and standard class name
  298. ul = $("<ul/>", {
  299. "id": headerClassName + index,
  300. "class": headerClassName
  301. }).
  302. // Appends a top level list item HTML element to the previously created HTML header
  303. append(self._nestElements($(this), index));
  304. // Add the created unordered list element to the HTML element calling the plugin
  305. self.element.append(ul);
  306. // Finds all of the HTML tags between the header and subheader elements
  307. $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {
  308. // If there are no nested subheader elemements
  309. if ($(this).find(self.options.selectors).length === 0) {
  310. // Loops through all of the subheader elements
  311. $(this).filter(self.options.selectors).each(function() {
  312. //If the element matches the ignoreSelector then we skip it
  313. if ($(this).is(ignoreSelector)) {
  314. return;
  315. }
  316. self._appendSubheaders.call(this, self, ul);
  317. });
  318. }
  319. // If there are nested subheader elements
  320. else {
  321. // Loops through all of the subheader elements
  322. $(this).find(self.options.selectors).each(function() {
  323. //If the element matches the ignoreSelector then we skip it
  324. if ($(this).is(ignoreSelector)) {
  325. return;
  326. }
  327. self._appendSubheaders.call(this, self, ul);
  328. });
  329. }
  330. });
  331. });
  332. },
  333. _setActiveElement: function(pageload) {
  334. var self = this,
  335. hash = window.location.hash.substring(1),
  336. elem = self.element.find('li[data-unique="' + hash + '"]');
  337. if (hash.length) {
  338. // Removes highlighting from all of the list item's
  339. self.element.find("." + self.focusClass).removeClass(self.focusClass);
  340. // Highlights the current list item that was clicked
  341. elem.addClass(self.focusClass);
  342. // Triggers the click event on the currently focused TOC item
  343. elem.click();
  344. } else {
  345. // Removes highlighting from all of the list item's
  346. self.element.find("." + self.focusClass).removeClass(self.focusClass);
  347. if (!hash.length && pageload && self.options.highlightDefault) {
  348. // Highlights the first TOC item if no other items are highlighted
  349. self.element.find(itemClass).first().addClass(self.focusClass);
  350. }
  351. }
  352. return self;
  353. },
  354. // _nestElements
  355. // -------------
  356. // Helps create the table of contents list by appending nested list items
  357. _nestElements: function(self, index) {
  358. var arr, item, hashValue;
  359. arr = $.grep(this.items, function(item) {
  360. return item === self.text();
  361. });
  362. // If there is already a duplicate TOC item
  363. if (arr.length) {
  364. // Adds the current TOC item text and index (for slight randomization) to the internal array
  365. this.items.push(self.text() + index);
  366. }
  367. // If there not a duplicate TOC item
  368. else {
  369. // Adds the current TOC item text to the internal array
  370. this.items.push(self.text());
  371. }
  372. hashValue = this._generateHashValue(arr, self, index);
  373. // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
  374. item = $("<li/>", {
  375. // Sets a common class name to the list item
  376. "class": itemClassName,
  377. "data-unique": hashValue
  378. });
  379. if (this.options.theme !== "bootstrap3") {
  380. item.append($("<a/>", {
  381. "html": self.html()
  382. }));
  383. } else {
  384. item.html(self.html());
  385. }
  386. // Adds an HTML anchor tag before the currently traversed HTML element
  387. self.before($("<div/>", {
  388. // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
  389. "name": hashValue,
  390. "data-unique": hashValue
  391. }));
  392. return item;
  393. },
  394. // _generateHashValue
  395. // ------------------
  396. // Generates the hash value that will be used to refer to each item.
  397. _generateHashValue: function(arr, self, index) {
  398. var hashValue = "",
  399. hashGeneratorOption = this.options.hashGenerator;
  400. if (hashGeneratorOption === "pretty") {
  401. // prettify the text
  402. hashValue = self.text().toLowerCase().replace(/\s/g, "-");
  403. // fix double hyphens
  404. while (hashValue.indexOf("--") > -1) {
  405. hashValue = hashValue.replace(/--/g, "-");
  406. }
  407. // fix colon-space instances
  408. while (hashValue.indexOf(":-") > -1) {
  409. hashValue = hashValue.replace(/:-/g, "-");
  410. }
  411. } else if (typeof hashGeneratorOption === "function") {
  412. // call the function
  413. hashValue = hashGeneratorOption(self.text(), self);
  414. } else {
  415. // compact - the default
  416. hashValue = self.text().replace(/\s/g, "");
  417. }
  418. // add the index if we need to
  419. if (arr.length) {
  420. hashValue += "" + index;
  421. }
  422. // return the value
  423. return hashValue;
  424. },
  425. // _appendElements
  426. // ---------------
  427. // Helps create the table of contents list by appending subheader elements
  428. _appendSubheaders: function(self, ul) {
  429. // The current element index
  430. var index = $(this).index(self.options.selectors),
  431. // Finds the previous header DOM element
  432. previousHeader = $(self.options.selectors).eq(index - 1),
  433. currentTagName = +$(this).prop("tagName").charAt(1),
  434. previousTagName = +previousHeader.prop("tagName").charAt(1),
  435. lastSubheader;
  436. // If the current header DOM element is smaller than the previous header DOM element or the first subheader
  437. if (currentTagName < previousTagName) {
  438. // Selects the last unordered list HTML found within the HTML element calling the plugin
  439. self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));
  440. }
  441. // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
  442. else if (currentTagName === previousTagName) {
  443. ul.find(itemClass).last().after(self._nestElements($(this), index));
  444. } else {
  445. // Selects the last unordered list HTML found within the HTML element calling the plugin
  446. ul.find(itemClass).last().
  447. // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
  448. after($("<ul/>", {
  449. "class": subheaderClassName,
  450. "data-tag": currentTagName
  451. })).next(subheaderClass).
  452. // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
  453. append(self._nestElements($(this), index));
  454. }
  455. },
  456. // _setEventHandlers
  457. // ----------------
  458. // Adds jQuery event handlers to the newly generated table of contents
  459. _setEventHandlers: function() {
  460. // _Local variables_
  461. // Stores the plugin context in the self variable
  462. var self = this,
  463. // Instantiates a new variable that will be used to hold a specific element's context
  464. $self,
  465. // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
  466. duration;
  467. // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
  468. this.element.on("click.tocify", "li", function(event) {
  469. if (self.options.history) {
  470. window.location.hash = $(this).attr("data-unique");
  471. }
  472. // Removes highlighting from all of the list item's
  473. self.element.find("." + self.focusClass).removeClass(self.focusClass);
  474. // Highlights the current list item that was clicked
  475. $(this).addClass(self.focusClass);
  476. // If the showAndHide option is true
  477. if (self.options.showAndHide) {
  478. var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');
  479. self._triggerShow(elem);
  480. }
  481. self._scrollTo($(this));
  482. });
  483. // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
  484. this.element.find("li").on({
  485. // Mouseenter event handler
  486. "mouseenter.tocify": function() {
  487. // Adds a hover CSS class to the current list item
  488. $(this).addClass(self.hoverClass);
  489. // Makes sure the cursor is set to the pointer icon
  490. $(this).css("cursor", "pointer");
  491. },
  492. // Mouseleave event handler
  493. "mouseleave.tocify": function() {
  494. if (self.options.theme !== "bootstrap") {
  495. // Removes the hover CSS class from the current list item
  496. $(this).removeClass(self.hoverClass);
  497. }
  498. }
  499. });
  500. // only attach handler if needed (expensive in IE)
  501. if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
  502. // Window scroll event handler
  503. $(window).on("scroll.tocify", function() {
  504. // Once all animations on the page are complete, this callback function will be called
  505. $("html, body").promise().done(function() {
  506. // Local variables
  507. // Stores how far the user has scrolled
  508. var winScrollTop = $(window).scrollTop(),
  509. // Stores the height of the window
  510. winHeight = $(window).height(),
  511. // Stores the height of the document
  512. docHeight = $(document).height(),
  513. scrollHeight = $("body")[0].scrollHeight,
  514. // Instantiates a variable that will be used to hold a selected HTML element
  515. elem,
  516. lastElem,
  517. lastElemOffset,
  518. currentElem;
  519. if (self.options.extendPage) {
  520. // If the user has scrolled to the bottom of the page and the last toc item is not focused
  521. if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {
  522. if (!$(extendPageClass).length) {
  523. lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');
  524. if (!lastElem.length) return;
  525. // Gets the top offset of the page header that is linked to the last toc item
  526. lastElemOffset = lastElem.offset().top;
  527. // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
  528. $(self.options.context).append($("<div/>", {
  529. "class": extendPageClassName,
  530. "height": Math.abs(lastElemOffset - winScrollTop) + "px",
  531. "data-unique": extendPageClassName
  532. }));
  533. if (self.extendPageScroll) {
  534. currentElem = self.element.find('li.' + self.focusClass);
  535. self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));
  536. }
  537. }
  538. }
  539. }
  540. // The zero timeout ensures the following code is run after the scroll events
  541. setTimeout(function() {
  542. // _Local variables_
  543. // Stores the distance to the closest anchor
  544. var closestAnchorDistance = null,
  545. // Stores the index of the closest anchor
  546. closestAnchorIdx = null,
  547. // Keeps a reference to all anchors
  548. anchors = $(self.options.context).find("div[data-unique]"),
  549. anchorText;
  550. // Determines the index of the closest anchor
  551. anchors.each(function(idx) {
  552. var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
  553. if (closestAnchorDistance == null || distance < closestAnchorDistance) {
  554. closestAnchorDistance = distance;
  555. closestAnchorIdx = idx;
  556. } else {
  557. return false;
  558. }
  559. });
  560. anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");
  561. // Stores the list item HTML element that corresponds to the currently traversed anchor tag
  562. elem = $('li[data-unique="' + anchorText + '"]');
  563. // If the `highlightOnScroll` option is true and a next element is found
  564. if (self.options.highlightOnScroll && elem.length) {
  565. // Removes highlighting from all of the list item's
  566. self.element.find("." + self.focusClass).removeClass(self.focusClass);
  567. // Highlights the corresponding list item
  568. elem.addClass(self.focusClass);
  569. }
  570. if (self.options.scrollHistory) {
  571. if (window.location.hash !== "#" + anchorText) {
  572. window.location.replace("#" + anchorText);
  573. }
  574. }
  575. // If the `showAndHideOnScroll` option is true
  576. if (self.options.showAndHideOnScroll && self.options.showAndHide) {
  577. self._triggerShow(elem, true);
  578. }
  579. }, 0);
  580. });
  581. });
  582. }
  583. },
  584. // Show
  585. // ----
  586. // Opens the current sub-header
  587. show: function(elem, scroll) {
  588. // Stores the plugin context in the `self` variable
  589. var self = this,
  590. element = elem;
  591. // If the sub-header is not already visible
  592. if (!elem.is(":visible")) {
  593. // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
  594. if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {
  595. // Sets the current element to all of the subheaders within the current header
  596. elem = elem.parents(subheaderClass).add(elem);
  597. }
  598. // If the current element does not have any nested subheaders and is not a header
  599. else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {
  600. // Sets the current element to the closest subheader
  601. elem = elem.closest(subheaderClass);
  602. }
  603. //Determines what jQuery effect to use
  604. switch (self.options.showEffect) {
  605. //Uses `no effect`
  606. case "none":
  607. elem.show();
  608. break;
  609. //Uses the jQuery `show` special effect
  610. case "show":
  611. elem.show(self.options.showEffectSpeed);
  612. break;
  613. //Uses the jQuery `slideDown` special effect
  614. case "slideDown":
  615. elem.slideDown(self.options.showEffectSpeed);
  616. break;
  617. //Uses the jQuery `fadeIn` special effect
  618. case "fadeIn":
  619. elem.fadeIn(self.options.showEffectSpeed);
  620. break;
  621. //If none of the above options were passed, then a `jQueryUI show effect` is expected
  622. default:
  623. elem.show();
  624. break;
  625. }
  626. }
  627. // If the current subheader parent element is a header
  628. if (elem.parent().is(headerClass)) {
  629. // Hides all non-active sub-headers
  630. self.hide($(subheaderClass).not(elem));
  631. }
  632. // If the current subheader parent element is not a header
  633. else {
  634. // Hides all non-active sub-headers
  635. self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));
  636. }
  637. // Maintains chainablity
  638. return self;
  639. },
  640. // Hide
  641. // ----
  642. // Closes the current sub-header
  643. hide: function(elem) {
  644. // Stores the plugin context in the `self` variable
  645. var self = this;
  646. //Determines what jQuery effect to use
  647. switch (self.options.hideEffect) {
  648. // Uses `no effect`
  649. case "none":
  650. elem.hide();
  651. break;
  652. // Uses the jQuery `hide` special effect
  653. case "hide":
  654. elem.hide(self.options.hideEffectSpeed);
  655. break;
  656. // Uses the jQuery `slideUp` special effect
  657. case "slideUp":
  658. elem.slideUp(self.options.hideEffectSpeed);
  659. break;
  660. // Uses the jQuery `fadeOut` special effect
  661. case "fadeOut":
  662. elem.fadeOut(self.options.hideEffectSpeed);
  663. break;
  664. // If none of the above options were passed, then a `jqueryUI hide effect` is expected
  665. default:
  666. elem.hide();
  667. break;
  668. }
  669. // Maintains chainablity
  670. return self;
  671. },
  672. // _triggerShow
  673. // ------------
  674. // Determines what elements get shown on scroll and click
  675. _triggerShow: function(elem, scroll) {
  676. var self = this;
  677. // If the current element's parent is a header element or the next element is a nested subheader element
  678. if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {
  679. // Shows the next sub-header element
  680. self.show(elem.next(subheaderClass), scroll);
  681. }
  682. // If the current element's parent is a subheader element
  683. else if (elem.parent().is(subheaderClass)) {
  684. // Shows the parent sub-header element
  685. self.show(elem.parent(), scroll);
  686. }
  687. // Maintains chainability
  688. return self;
  689. },
  690. // _addCSSClasses
  691. // --------------
  692. // Adds CSS classes to the newly generated table of contents HTML
  693. _addCSSClasses: function() {
  694. // If the user wants a jqueryUI theme
  695. if (this.options.theme === "jqueryui") {
  696. this.focusClass = "ui-state-default";
  697. this.hoverClass = "ui-state-hover";
  698. //Adds the default styling to the dropdown list
  699. this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");
  700. }
  701. // If the user wants a twitterBootstrap theme
  702. else if (this.options.theme === "bootstrap") {
  703. this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");
  704. this.focusClass = "active";
  705. }
  706. // If the user wants a twitterBootstrap theme
  707. else if (this.options.theme === "bootstrap3") {
  708. this.element.find(headerClass + "," + subheaderClass).addClass("list-group");
  709. this.element.find(itemClass).addClass("list-group-item");
  710. this.focusClass = "active";
  711. }
  712. // If a user does not want a prebuilt theme
  713. else {
  714. // Adds more neutral classes (instead of jqueryui)
  715. this.focusClass = tocFocusClassName;
  716. this.hoverClass = tocHoverClassName;
  717. }
  718. //Maintains chainability
  719. return this;
  720. },
  721. // setOption
  722. // ---------
  723. // Sets a single Tocify option after the plugin is invoked
  724. setOption: function() {
  725. // Calls the jQueryUI Widget Factory setOption method
  726. $.Widget.prototype._setOption.apply(this, arguments);
  727. },
  728. // setOptions
  729. // ----------
  730. // Sets a single or multiple Tocify options after the plugin is invoked
  731. setOptions: function() {
  732. // Calls the jQueryUI Widget Factory setOptions method
  733. $.Widget.prototype._setOptions.apply(this, arguments);
  734. },
  735. // _scrollTo
  736. // ---------
  737. // Scrolls to a specific element
  738. _scrollTo: function(elem) {
  739. var self = this,
  740. duration = self.options.smoothScroll || 0,
  741. scrollTo = self.options.scrollTo,
  742. currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');
  743. if (!currentDiv.length) {
  744. return self;
  745. }
  746. // Once all animations on the page are complete, this callback function will be called
  747. $("html, body").promise().done(function() {
  748. // Animates the html and body element scrolltops
  749. $("html, body").animate({
  750. // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
  751. "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"
  752. }, {
  753. // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
  754. "duration": duration
  755. });
  756. });
  757. // Maintains chainability
  758. return self;
  759. }
  760. });
  761. })); //end of plugin
  762. </script>
  763. <script>
  764. /**
  765. * jQuery Plugin: Sticky Tabs
  766. *
  767. * @author Aidan Lister <aidan@php.net>
  768. * adapted by Ruben Arslan to activate parent tabs too
  769. * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
  770. */
  771. (function($) {
  772. "use strict";
  773. $.fn.rmarkdownStickyTabs = function() {
  774. var context = this;
  775. // Show the tab corresponding with the hash in the URL, or the first tab
  776. var showStuffFromHash = function() {
  777. var hash = window.location.hash;
  778. var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
  779. var $selector = $(selector, context);
  780. if($selector.data('toggle') === "tab") {
  781. $selector.tab('show');
  782. // walk up the ancestors of this element, show any hidden tabs
  783. $selector.parents('.section.tabset').each(function(i, elm) {
  784. var link = $('a[href="#' + $(elm).attr('id') + '"]');
  785. if(link.data('toggle') === "tab") {
  786. link.tab("show");
  787. }
  788. });
  789. }
  790. };
  791. // Set the correct tab when the page loads
  792. showStuffFromHash(context);
  793. // Set the correct tab when a user uses their back/forward button
  794. $(window).on('hashchange', function() {
  795. showStuffFromHash(context);
  796. });
  797. // Change the URL when tabs are clicked
  798. $('a', context).on('click', function(e) {
  799. history.pushState(null, null, this.href);
  800. showStuffFromHash(context);
  801. });
  802. return this;
  803. };
  804. }(jQuery));
  805. window.buildTabsets = function(tocID) {
  806. // build a tabset from a section div with the .tabset class
  807. function buildTabset(tabset) {
  808. // check for fade and pills options
  809. var fade = tabset.hasClass("tabset-fade");
  810. var pills = tabset.hasClass("tabset-pills");
  811. var navClass = pills ? "nav-pills" : "nav-tabs";
  812. // determine the heading level of the tabset and tabs
  813. var match = tabset.attr('class').match(/level(\d) /);
  814. if (match === null)
  815. return;
  816. var tabsetLevel = Number(match[1]);
  817. var tabLevel = tabsetLevel + 1;
  818. // find all subheadings immediately below
  819. var tabs = tabset.find("div.section.level" + tabLevel);
  820. if (!tabs.length)
  821. return;
  822. // create tablist and tab-content elements
  823. var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
  824. $(tabs[0]).before(tabList);
  825. var tabContent = $('<div class="tab-content"></div>');
  826. $(tabs[0]).before(tabContent);
  827. // build the tabset
  828. var activeTab = 0;
  829. tabs.each(function(i) {
  830. // get the tab div
  831. var tab = $(tabs[i]);
  832. // get the id then sanitize it for use with bootstrap tabs
  833. var id = tab.attr('id');
  834. // see if this is marked as the active tab
  835. if (tab.hasClass('active'))
  836. activeTab = i;
  837. // remove any table of contents entries associated with
  838. // this ID (since we'll be removing the heading element)
  839. $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
  840. // sanitize the id for use with bootstrap tabs
  841. id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
  842. tab.attr('id', id);
  843. // get the heading element within it, grab it's text, then remove it
  844. var heading = tab.find('h' + tabLevel + ':first');
  845. var headingText = heading.html();
  846. heading.remove();
  847. // build and append the tab list item
  848. var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
  849. a.attr('href', '#' + id);
  850. a.attr('aria-controls', id);
  851. var li = $('<li role="presentation"></li>');
  852. li.append(a);
  853. tabList.append(li);
  854. // set it's attributes
  855. tab.attr('role', 'tabpanel');
  856. tab.addClass('tab-pane');
  857. tab.addClass('tabbed-pane');
  858. if (fade)
  859. tab.addClass('fade');
  860. // move it into the tab content div
  861. tab.detach().appendTo(tabContent);
  862. });
  863. // set active tab
  864. $(tabList.children('li')[activeTab]).addClass('active');
  865. var active = $(tabContent.children('div.section')[activeTab]);
  866. active.addClass('active');
  867. if (fade)
  868. active.addClass('in');
  869. if (tabset.hasClass("tabset-sticky"))
  870. tabset.rmarkdownStickyTabs();
  871. }
  872. // convert section divs with the .tabset class to tabsets
  873. var tabsets = $("div.section.tabset");
  874. tabsets.each(function(i) {
  875. buildTabset($(tabsets[i]));
  876. });
  877. };
  878. </script>
  879. <script>
  880. window.initializeCodeFolding = function(show) {
  881. // handlers for show-all and hide all
  882. $("#rmd-show-all-code").click(function() {
  883. $('div.r-code-collapse').each(function() {
  884. $(this).collapse('show');
  885. });
  886. });
  887. $("#rmd-hide-all-code").click(function() {
  888. $('div.r-code-collapse').each(function() {
  889. $(this).collapse('hide');
  890. });
  891. });
  892. // index for unique code element ids
  893. var currentIndex = 1;
  894. // select all R code blocks
  895. var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
  896. rCodeBlocks.each(function() {
  897. // skip if the block has fold-none class
  898. if ($(this).hasClass('fold-none')) return;
  899. // create a collapsable div to wrap the code in
  900. var div = $('<div class="collapse r-code-collapse"></div>');
  901. var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
  902. var id = 'rcode-643E0F36' + currentIndex++;
  903. div.attr('id', id);
  904. $(this).before(div);
  905. $(this).detach().appendTo(div);
  906. // add a show code button right above
  907. var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
  908. var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
  909. showCodeButton.append(showCodeText);
  910. showCodeButton
  911. .attr('data-toggle', 'collapse')
  912. .attr('data-bs-toggle', 'collapse') // BS5
  913. .attr('data-target', '#' + id)
  914. .attr('data-bs-target', '#' + id) // BS5
  915. .attr('aria-expanded', showThis)
  916. .attr('aria-controls', id);
  917. var buttonRow = $('<div class="row"></div>');
  918. var buttonCol = $('<div class="col-md-12"></div>');
  919. buttonCol.append(showCodeButton);
  920. buttonRow.append(buttonCol);
  921. div.before(buttonRow);
  922. // show the div if necessary
  923. if (showThis) div.collapse('show');
  924. // update state of button on show/hide
  925. // * Change text
  926. // * add a class for intermediate states styling
  927. div.on('hide.bs.collapse', function () {
  928. showCodeText.text('Code');
  929. showCodeButton.addClass('btn-collapsing');
  930. });
  931. div.on('hidden.bs.collapse', function () {
  932. showCodeButton.removeClass('btn-collapsing');
  933. });
  934. div.on('show.bs.collapse', function () {
  935. showCodeText.text('Hide');
  936. showCodeButton.addClass('btn-expanding');
  937. });
  938. div.on('shown.bs.collapse', function () {
  939. showCodeButton.removeClass('btn-expanding');
  940. });
  941. });
  942. }
  943. </script>
  944. <style type="text/css">.hljs-literal {
  945. color: #990073;
  946. }
  947. .hljs-number {
  948. color: #099;
  949. }
  950. .hljs-comment {
  951. color: #998;
  952. font-style: italic;
  953. }
  954. .hljs-keyword {
  955. color: #900;
  956. font-weight: bold;
  957. }
  958. .hljs-string {
  959. color: #d14;
  960. }
  961. </style>
  962. <script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
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  1350. <div class="container-fluid main-container">
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  1365. </div>
  1366. <h1 class="title toc-ignore">Results 02</h1>
  1367. </div>
  1368. <pre class="r"><code>library(data.table)
  1369. library(here)
  1370. library(magrittr)
  1371. library(ggplot2)
  1372. library(viridis)
  1373. library(binhf)
  1374. library(pwr)
  1375. library(knitr)
  1376. library(kableExtra)
  1377. library(sdamr)
  1378. library(gghalves)
  1379. library(lme4)
  1380. library(emmeans)
  1381. library(papeR)
  1382. library(ggridges)
  1383. library(bmsR)
  1384. library(fabricatr)
  1385. library(mlisi)</code></pre>
  1386. <pre class="r"><code># Get directory of repository
  1387. base_path = here::here()
  1388. # Load pre-written functions
  1389. source_path = file.path(base_path, &#39;code&#39;, &#39;utils&#39;,
  1390. fsep = .Platform$file.sep)
  1391. source_files = list.files(source_path, pattern = &quot;[.][rR]$&quot;,
  1392. full.names = TRUE, recursive = TRUE)
  1393. invisible(lapply(source_files, function(x) source(x)))
  1394. source_path = file.path(base_path, &#39;code&#39;, &#39;model_fitting&#39;, &#39;LRfunction.R&#39;,
  1395. fsep = .Platform$file.sep)
  1396. source(source_path)
  1397. # Get plot colors/linetypes for plots
  1398. custom_guides = Get_plot_guides()</code></pre>
  1399. <div id="setup" class="section level1">
  1400. <h1>Setup</h1>
  1401. <pre class="r"><code># Load modelling results
  1402. data = Load_model_fits_new() %&gt;%
  1403. Apply_exclusion_criteria(., choice_based_exclusion = TRUE) %&gt;%
  1404. .[, &#39;:=&#39;(participant_id = as.factor(participant_id),
  1405. group = as.factor(group),
  1406. sex = as.factor(sex),
  1407. starting_values = as.factor(starting_values))]
  1408. # Sort model levels by number of parameters
  1409. data$model = factor(data$model, levels = c(&#39;rw&#39;,
  1410. &#39;uncertainty&#39;,
  1411. &#39;seplr&#39;,
  1412. &#39;uncertainty_seplr&#39;,
  1413. &#39;surprise&#39;,
  1414. &#39;uncertainty_surprise&#39;))
  1415. # Load choice data
  1416. data_behav = Load_data() %&gt;%
  1417. Apply_exclusion_criteria(., choice_based_exclusion = TRUE) %&gt;%
  1418. Add_comp(.) %&gt;%
  1419. .[,run := as.factor(run)]
  1420. # Percentage of optimal choices (bandit 1v2)
  1421. check_noc = data_behav %&gt;%
  1422. Add_comp(.) %&gt;%
  1423. .[, trial := seq(.N),
  1424. by = c(&#39;participant_id&#39;, &#39;run&#39;)] %&gt;%
  1425. .[trial_type == &#39;choice&#39;,] %&gt;%
  1426. .[, correct_choice := if(option_left &gt; option_right) &#39;left&#39; else &#39;right&#39;,
  1427. by = c(&#39;participant_id&#39;, &#39;run&#39;, &#39;trial&#39;)] %&gt;%
  1428. .[, correct := correct_choice == choice] %&gt;%
  1429. # Get percentage of correct choices for each bandit comparison (exclude timeouts from overall trials)
  1430. .[, .(perc_correct = sum(as.numeric(correct), na.rm = TRUE) / length(which(!is.na(as.numeric(correct))))),
  1431. by = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;comp&#39;)] %&gt;%
  1432. .[comp == &#39;1v2&#39;] %&gt;%
  1433. data.table::dcast(participant_id + group ~ paste0(&#39;perc_correct_&#39;, as.character(comp)), value.var = &#39;perc_correct&#39;)
  1434. # Focus analysis on random starting values
  1435. data = data[starting_values == &#39;random&#39;]</code></pre>
  1436. </div>
  1437. <div id="descriptives" class="section level1">
  1438. <h1>Descriptives</h1>
  1439. <div id="betas" class="section level2 tabset">
  1440. <h2 class="tabset">Betas</h2>
  1441. <p><span class="math display">p(k|V_{.,t}) = \sigma(\boldsymbol{\beta_0}
  1442. + \overbrace{\boldsymbol{\beta_1} V_{l,t}, + \boldsymbol{\beta_2}
  1443. V_{k,t}}^{\textrm{Influence of Bandit Values}} +
  1444. \overbrace{\boldsymbol{\beta_3} U_{l,t} + \boldsymbol{\beta_4}
  1445. U_{k,t}}^{\textrm{Influence of Bandit Uncertainty}})</span></p>
  1446. <p><span class="math inline">\boldsymbol{\beta_3}</span> and <span class="math inline">\boldsymbol{\beta_4}</span> are not included in the
  1447. logistic regression in case the model did not take uncertainty into
  1448. account.</p>
  1449. <div id="using-raw-predictors" class="section level3">
  1450. <h3>Using raw predictors</h3>
  1451. <pre class="r"><code># Get data for betas
  1452. data_betas = data %&gt;%
  1453. .[variable == &#39;coefs&#39;,] %&gt;%
  1454. .[x %in% c(&#39;(Intercept)&#39;, &#39;V1&#39;, &#39;V2&#39;, &#39;V1u&#39;, &#39;V2u&#39;), ] %&gt;%
  1455. .[, (&#39;x&#39;) := lapply(.SD,
  1456. factor,
  1457. levels = c(&#39;(Intercept)&#39;, &#39;V1&#39;, &#39;V2&#39;, &#39;V1u&#39;, &#39;V2u&#39;),
  1458. labels= c(&#39;b_0&#39;, &#39;b_1&#39;, &#39;b_2&#39;, &#39;b_3&#39;, &#39;b_4&#39;)),
  1459. .SDcols = &#39;x&#39;]</code></pre>
  1460. <div id="plot" class="section level4">
  1461. <h4>Plot</h4>
  1462. <pre class="r"><code>data_plot = data_betas
  1463. p_3betas = ggplot(data = data_plot[model %in% c(&#39;rw&#39;, &#39;surprise&#39;, &#39;seplr&#39;)],
  1464. aes(x = x,
  1465. y = value,
  1466. fill = model)) +
  1467. geom_hline(yintercept = 0,
  1468. linewidth = 0.1) +
  1469. geom_point(alpha = 0.3,
  1470. size = 0.5,
  1471. position = sdamr::position_jitternudge(jitter.width = 0.05,
  1472. jitter.height = 0,
  1473. nudge.x = -0.1,
  1474. nudge.y = 0)) +
  1475. geom_boxplot(width = 0.1,
  1476. outlier.shape = NA) +
  1477. gghalves::geom_half_violin(side = &#39;r&#39;,
  1478. color = NA,
  1479. alpha = 0.8,
  1480. position = position_nudge(x = 0.1,
  1481. y = 0)) +
  1482. facet_wrap(~model, ncol = 1) +
  1483. scale_y_continuous(limits = c(min(data_plot$value), max(data_plot$value))) +
  1484. theme(panel.grid.major.x = element_blank(),
  1485. panel.grid.minor.x = element_blank(),
  1486. axis.title.x = element_blank(),
  1487. legend.position = &#39;none&#39;)
  1488. p_3betas = Neurocodify_plot(p_3betas)
  1489. p_5betas = ggplot(data = data_plot[model %in% c(&#39;uncertainty&#39;, &#39;uncertainty_surprise&#39;, &#39;uncertainty_seplr&#39;)],
  1490. aes(x = x,
  1491. y = value,
  1492. fill = model)) +
  1493. geom_hline(yintercept = 0,
  1494. linewidth = 0.1) +
  1495. geom_point(alpha = 0.3,
  1496. size = 0.5,
  1497. position = sdamr::position_jitternudge(jitter.width = 0.05,
  1498. jitter.height = 0,
  1499. nudge.x = -0.1,
  1500. nudge.y = 0)) +
  1501. geom_boxplot(width = 0.1,
  1502. outlier.shape = NA) +
  1503. gghalves::geom_half_violin(side = &#39;r&#39;,
  1504. color = NA,
  1505. alpha = 0.8,
  1506. position = position_nudge(x = 0.1,
  1507. y = 0)) +
  1508. facet_wrap(~model, ncol = 1) +
  1509. scale_y_continuous(limits = c(min(data_plot$value), max(data_plot$value))) +
  1510. theme(panel.grid.major.x = element_blank(),
  1511. panel.grid.minor.x = element_blank(),
  1512. axis.title.x = element_blank(),
  1513. legend.position = &#39;none&#39;)
  1514. p_5betas = Neurocodify_plot(p_5betas)
  1515. p = cowplot::plot_grid(p_3betas, p_5betas,
  1516. ncol = 2,
  1517. rel_widths = c(3,5),
  1518. axis = &#39;tb&#39;,
  1519. align = &#39;h&#39;)
  1520. p</code></pre>
  1521. <p><img 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" width="672" /></p>
  1522. </div>
  1523. <div id="across-groups" class="section level4">
  1524. <h4>Across groups</h4>
  1525. <pre class="r"><code># Prepare table
  1526. table_betas_all = data_betas %&gt;%
  1527. .[, .(mean = mean(value),
  1528. sd = sd(value),
  1529. n = .N),
  1530. by = c(&#39;model&#39;, &#39;x&#39;)]
  1531. # Display table
  1532. table_betas_all = table_betas_all %&gt;%
  1533. data.table::setcolorder(c(&#39;model&#39;, &#39;x&#39;)) %&gt;%
  1534. data.table::setorder(model, x) %&gt;%
  1535. .[, c(&#39;mean&#39;, &#39;sd&#39;) := lapply(.SD, round, 4), .SDcols = c(&#39;mean&#39;, &#39;sd&#39;)] %&gt;%
  1536. Collapse_repeated_rows(x = .,
  1537. columns = 1,
  1538. replace = &#39;&#39;) %&gt;%
  1539. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  1540. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  1541. kableExtra::column_spec(1,
  1542. bold = TRUE) %&gt;%
  1543. kableExtra::row_spec(row = 0,
  1544. bold = TRUE)
  1545. table_betas_all</code></pre>
  1546. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  1547. <thead>
  1548. <tr>
  1549. <th style="text-align:left;font-weight: bold;">
  1550. model
  1551. </th>
  1552. <th style="text-align:left;font-weight: bold;">
  1553. x
  1554. </th>
  1555. <th style="text-align:left;font-weight: bold;">
  1556. mean
  1557. </th>
  1558. <th style="text-align:left;font-weight: bold;">
  1559. sd
  1560. </th>
  1561. <th style="text-align:left;font-weight: bold;">
  1562. n
  1563. </th>
  1564. </tr>
  1565. </thead>
  1566. <tbody>
  1567. <tr>
  1568. <td style="text-align:left;font-weight: bold;">
  1569. rw
  1570. </td>
  1571. <td style="text-align:left;">
  1572. b_0
  1573. </td>
  1574. <td style="text-align:left;">
  1575. 0.0559
  1576. </td>
  1577. <td style="text-align:left;">
  1578. 1.5727
  1579. </td>
  1580. <td style="text-align:left;">
  1581. 102
  1582. </td>
  1583. </tr>
  1584. <tr>
  1585. <td style="text-align:left;font-weight: bold;">
  1586. </td>
  1587. <td style="text-align:left;">
  1588. b_1
  1589. </td>
  1590. <td style="text-align:left;">
  1591. -0.1738
  1592. </td>
  1593. <td style="text-align:left;">
  1594. 0.1288
  1595. </td>
  1596. <td style="text-align:left;">
  1597. 102
  1598. </td>
  1599. </tr>
  1600. <tr>
  1601. <td style="text-align:left;font-weight: bold;">
  1602. </td>
  1603. <td style="text-align:left;">
  1604. b_2
  1605. </td>
  1606. <td style="text-align:left;">
  1607. 0.1735
  1608. </td>
  1609. <td style="text-align:left;">
  1610. 0.1359
  1611. </td>
  1612. <td style="text-align:left;">
  1613. 102
  1614. </td>
  1615. </tr>
  1616. <tr>
  1617. <td style="text-align:left;font-weight: bold;">
  1618. uncertainty
  1619. </td>
  1620. <td style="text-align:left;">
  1621. b_0
  1622. </td>
  1623. <td style="text-align:left;">
  1624. 0.0251
  1625. </td>
  1626. <td style="text-align:left;">
  1627. 3.0166
  1628. </td>
  1629. <td style="text-align:left;">
  1630. 102
  1631. </td>
  1632. </tr>
  1633. <tr>
  1634. <td style="text-align:left;font-weight: bold;">
  1635. </td>
  1636. <td style="text-align:left;">
  1637. b_1
  1638. </td>
  1639. <td style="text-align:left;">
  1640. -0.2164
  1641. </td>
  1642. <td style="text-align:left;">
  1643. 0.2287
  1644. </td>
  1645. <td style="text-align:left;">
  1646. 102
  1647. </td>
  1648. </tr>
  1649. <tr>
  1650. <td style="text-align:left;font-weight: bold;">
  1651. </td>
  1652. <td style="text-align:left;">
  1653. b_2
  1654. </td>
  1655. <td style="text-align:left;">
  1656. 0.2159
  1657. </td>
  1658. <td style="text-align:left;">
  1659. 0.2197
  1660. </td>
  1661. <td style="text-align:left;">
  1662. 102
  1663. </td>
  1664. </tr>
  1665. <tr>
  1666. <td style="text-align:left;font-weight: bold;">
  1667. </td>
  1668. <td style="text-align:left;">
  1669. b_3
  1670. </td>
  1671. <td style="text-align:left;">
  1672. -0.0447
  1673. </td>
  1674. <td style="text-align:left;">
  1675. 0.2017
  1676. </td>
  1677. <td style="text-align:left;">
  1678. 102
  1679. </td>
  1680. </tr>
  1681. <tr>
  1682. <td style="text-align:left;font-weight: bold;">
  1683. </td>
  1684. <td style="text-align:left;">
  1685. b_4
  1686. </td>
  1687. <td style="text-align:left;">
  1688. 0.0374
  1689. </td>
  1690. <td style="text-align:left;">
  1691. 0.1973
  1692. </td>
  1693. <td style="text-align:left;">
  1694. 102
  1695. </td>
  1696. </tr>
  1697. <tr>
  1698. <td style="text-align:left;font-weight: bold;">
  1699. seplr
  1700. </td>
  1701. <td style="text-align:left;">
  1702. b_0
  1703. </td>
  1704. <td style="text-align:left;">
  1705. 0.0974
  1706. </td>
  1707. <td style="text-align:left;">
  1708. 1.4080
  1709. </td>
  1710. <td style="text-align:left;">
  1711. 102
  1712. </td>
  1713. </tr>
  1714. <tr>
  1715. <td style="text-align:left;font-weight: bold;">
  1716. </td>
  1717. <td style="text-align:left;">
  1718. b_1
  1719. </td>
  1720. <td style="text-align:left;">
  1721. -0.1702
  1722. </td>
  1723. <td style="text-align:left;">
  1724. 0.1175
  1725. </td>
  1726. <td style="text-align:left;">
  1727. 102
  1728. </td>
  1729. </tr>
  1730. <tr>
  1731. <td style="text-align:left;font-weight: bold;">
  1732. </td>
  1733. <td style="text-align:left;">
  1734. b_2
  1735. </td>
  1736. <td style="text-align:left;">
  1737. 0.1691
  1738. </td>
  1739. <td style="text-align:left;">
  1740. 0.1172
  1741. </td>
  1742. <td style="text-align:left;">
  1743. 102
  1744. </td>
  1745. </tr>
  1746. <tr>
  1747. <td style="text-align:left;font-weight: bold;">
  1748. uncertainty_seplr
  1749. </td>
  1750. <td style="text-align:left;">
  1751. b_0
  1752. </td>
  1753. <td style="text-align:left;">
  1754. -0.2168
  1755. </td>
  1756. <td style="text-align:left;">
  1757. 2.3867
  1758. </td>
  1759. <td style="text-align:left;">
  1760. 102
  1761. </td>
  1762. </tr>
  1763. <tr>
  1764. <td style="text-align:left;font-weight: bold;">
  1765. </td>
  1766. <td style="text-align:left;">
  1767. b_1
  1768. </td>
  1769. <td style="text-align:left;">
  1770. -0.1603
  1771. </td>
  1772. <td style="text-align:left;">
  1773. 0.1088
  1774. </td>
  1775. <td style="text-align:left;">
  1776. 102
  1777. </td>
  1778. </tr>
  1779. <tr>
  1780. <td style="text-align:left;font-weight: bold;">
  1781. </td>
  1782. <td style="text-align:left;">
  1783. b_2
  1784. </td>
  1785. <td style="text-align:left;">
  1786. 0.1638
  1787. </td>
  1788. <td style="text-align:left;">
  1789. 0.1234
  1790. </td>
  1791. <td style="text-align:left;">
  1792. 102
  1793. </td>
  1794. </tr>
  1795. <tr>
  1796. <td style="text-align:left;font-weight: bold;">
  1797. </td>
  1798. <td style="text-align:left;">
  1799. b_3
  1800. </td>
  1801. <td style="text-align:left;">
  1802. -0.0241
  1803. </td>
  1804. <td style="text-align:left;">
  1805. 0.1940
  1806. </td>
  1807. <td style="text-align:left;">
  1808. 102
  1809. </td>
  1810. </tr>
  1811. <tr>
  1812. <td style="text-align:left;font-weight: bold;">
  1813. </td>
  1814. <td style="text-align:left;">
  1815. b_4
  1816. </td>
  1817. <td style="text-align:left;">
  1818. 0.0290
  1819. </td>
  1820. <td style="text-align:left;">
  1821. 0.2094
  1822. </td>
  1823. <td style="text-align:left;">
  1824. 102
  1825. </td>
  1826. </tr>
  1827. <tr>
  1828. <td style="text-align:left;font-weight: bold;">
  1829. surprise
  1830. </td>
  1831. <td style="text-align:left;">
  1832. b_0
  1833. </td>
  1834. <td style="text-align:left;">
  1835. 0.0405
  1836. </td>
  1837. <td style="text-align:left;">
  1838. 1.3008
  1839. </td>
  1840. <td style="text-align:left;">
  1841. 102
  1842. </td>
  1843. </tr>
  1844. <tr>
  1845. <td style="text-align:left;font-weight: bold;">
  1846. </td>
  1847. <td style="text-align:left;">
  1848. b_1
  1849. </td>
  1850. <td style="text-align:left;">
  1851. -0.1686
  1852. </td>
  1853. <td style="text-align:left;">
  1854. 0.1102
  1855. </td>
  1856. <td style="text-align:left;">
  1857. 102
  1858. </td>
  1859. </tr>
  1860. <tr>
  1861. <td style="text-align:left;font-weight: bold;">
  1862. </td>
  1863. <td style="text-align:left;">
  1864. b_2
  1865. </td>
  1866. <td style="text-align:left;">
  1867. 0.1685
  1868. </td>
  1869. <td style="text-align:left;">
  1870. 0.1150
  1871. </td>
  1872. <td style="text-align:left;">
  1873. 102
  1874. </td>
  1875. </tr>
  1876. <tr>
  1877. <td style="text-align:left;font-weight: bold;">
  1878. uncertainty_surprise
  1879. </td>
  1880. <td style="text-align:left;">
  1881. b_0
  1882. </td>
  1883. <td style="text-align:left;">
  1884. 0.1125
  1885. </td>
  1886. <td style="text-align:left;">
  1887. 1.5005
  1888. </td>
  1889. <td style="text-align:left;">
  1890. 102
  1891. </td>
  1892. </tr>
  1893. <tr>
  1894. <td style="text-align:left;font-weight: bold;">
  1895. </td>
  1896. <td style="text-align:left;">
  1897. b_1
  1898. </td>
  1899. <td style="text-align:left;">
  1900. -0.1645
  1901. </td>
  1902. <td style="text-align:left;">
  1903. 0.0885
  1904. </td>
  1905. <td style="text-align:left;">
  1906. 102
  1907. </td>
  1908. </tr>
  1909. <tr>
  1910. <td style="text-align:left;font-weight: bold;">
  1911. </td>
  1912. <td style="text-align:left;">
  1913. b_2
  1914. </td>
  1915. <td style="text-align:left;">
  1916. 0.1631
  1917. </td>
  1918. <td style="text-align:left;">
  1919. 0.0878
  1920. </td>
  1921. <td style="text-align:left;">
  1922. 102
  1923. </td>
  1924. </tr>
  1925. <tr>
  1926. <td style="text-align:left;font-weight: bold;">
  1927. </td>
  1928. <td style="text-align:left;">
  1929. b_3
  1930. </td>
  1931. <td style="text-align:left;">
  1932. 0.0054
  1933. </td>
  1934. <td style="text-align:left;">
  1935. 0.1637
  1936. </td>
  1937. <td style="text-align:left;">
  1938. 102
  1939. </td>
  1940. </tr>
  1941. <tr>
  1942. <td style="text-align:left;font-weight: bold;">
  1943. </td>
  1944. <td style="text-align:left;">
  1945. b_4
  1946. </td>
  1947. <td style="text-align:left;">
  1948. -0.0157
  1949. </td>
  1950. <td style="text-align:left;">
  1951. 0.1525
  1952. </td>
  1953. <td style="text-align:left;">
  1954. 102
  1955. </td>
  1956. </tr>
  1957. </tbody>
  1958. </table>
  1959. </div>
  1960. <div id="within-groups" class="section level4">
  1961. <h4>Within groups</h4>
  1962. <pre class="r"><code>table_betas_group = data_betas %&gt;%
  1963. .[, .(mean = mean(value),
  1964. sd = sd(value),
  1965. n = .N),
  1966. by = c(&#39;model&#39;, &#39;group&#39;, &#39;x&#39;)]
  1967. # Display table
  1968. table_betas_group = table_betas_group %&gt;%
  1969. data.table::setcolorder(c(&#39;group&#39;, &#39;model&#39;, &#39;x&#39;)) %&gt;%
  1970. data.table::setorder(group, model, x) %&gt;%
  1971. .[, c(&#39;mean&#39;, &#39;sd&#39;) := lapply(.SD, round, 4), .SDcols = c(&#39;mean&#39;, &#39;sd&#39;)] %&gt;%
  1972. Collapse_repeated_rows(x = .,
  1973. columns = c(1,2),
  1974. replace = &#39;&#39;) %&gt;%
  1975. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  1976. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  1977. kableExtra::column_spec(1,
  1978. bold = TRUE) %&gt;%
  1979. kableExtra::row_spec(row = 0,
  1980. bold = TRUE)
  1981. table_betas_group</code></pre>
  1982. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  1983. <thead>
  1984. <tr>
  1985. <th style="text-align:left;font-weight: bold;">
  1986. group
  1987. </th>
  1988. <th style="text-align:left;font-weight: bold;">
  1989. model
  1990. </th>
  1991. <th style="text-align:left;font-weight: bold;">
  1992. x
  1993. </th>
  1994. <th style="text-align:left;font-weight: bold;">
  1995. mean
  1996. </th>
  1997. <th style="text-align:left;font-weight: bold;">
  1998. sd
  1999. </th>
  2000. <th style="text-align:left;font-weight: bold;">
  2001. n
  2002. </th>
  2003. </tr>
  2004. </thead>
  2005. <tbody>
  2006. <tr>
  2007. <td style="text-align:left;font-weight: bold;">
  2008. older
  2009. </td>
  2010. <td style="text-align:left;">
  2011. rw
  2012. </td>
  2013. <td style="text-align:left;">
  2014. b_0
  2015. </td>
  2016. <td style="text-align:left;">
  2017. 0.0379
  2018. </td>
  2019. <td style="text-align:left;">
  2020. 1.0857
  2021. </td>
  2022. <td style="text-align:left;">
  2023. 51
  2024. </td>
  2025. </tr>
  2026. <tr>
  2027. <td style="text-align:left;font-weight: bold;">
  2028. </td>
  2029. <td style="text-align:left;">
  2030. </td>
  2031. <td style="text-align:left;">
  2032. b_1
  2033. </td>
  2034. <td style="text-align:left;">
  2035. -0.1856
  2036. </td>
  2037. <td style="text-align:left;">
  2038. 0.1287
  2039. </td>
  2040. <td style="text-align:left;">
  2041. 51
  2042. </td>
  2043. </tr>
  2044. <tr>
  2045. <td style="text-align:left;font-weight: bold;">
  2046. </td>
  2047. <td style="text-align:left;">
  2048. </td>
  2049. <td style="text-align:left;">
  2050. b_2
  2051. </td>
  2052. <td style="text-align:left;">
  2053. 0.1857
  2054. </td>
  2055. <td style="text-align:left;">
  2056. 0.1275
  2057. </td>
  2058. <td style="text-align:left;">
  2059. 51
  2060. </td>
  2061. </tr>
  2062. <tr>
  2063. <td style="text-align:left;font-weight: bold;">
  2064. </td>
  2065. <td style="text-align:left;">
  2066. uncertainty
  2067. </td>
  2068. <td style="text-align:left;">
  2069. b_0
  2070. </td>
  2071. <td style="text-align:left;">
  2072. -0.1271
  2073. </td>
  2074. <td style="text-align:left;">
  2075. 3.4565
  2076. </td>
  2077. <td style="text-align:left;">
  2078. 51
  2079. </td>
  2080. </tr>
  2081. <tr>
  2082. <td style="text-align:left;font-weight: bold;">
  2083. </td>
  2084. <td style="text-align:left;">
  2085. </td>
  2086. <td style="text-align:left;">
  2087. b_1
  2088. </td>
  2089. <td style="text-align:left;">
  2090. -0.2567
  2091. </td>
  2092. <td style="text-align:left;">
  2093. 0.2825
  2094. </td>
  2095. <td style="text-align:left;">
  2096. 51
  2097. </td>
  2098. </tr>
  2099. <tr>
  2100. <td style="text-align:left;font-weight: bold;">
  2101. </td>
  2102. <td style="text-align:left;">
  2103. </td>
  2104. <td style="text-align:left;">
  2105. b_2
  2106. </td>
  2107. <td style="text-align:left;">
  2108. 0.2592
  2109. </td>
  2110. <td style="text-align:left;">
  2111. 0.2742
  2112. </td>
  2113. <td style="text-align:left;">
  2114. 51
  2115. </td>
  2116. </tr>
  2117. <tr>
  2118. <td style="text-align:left;font-weight: bold;">
  2119. </td>
  2120. <td style="text-align:left;">
  2121. </td>
  2122. <td style="text-align:left;">
  2123. b_3
  2124. </td>
  2125. <td style="text-align:left;">
  2126. -0.0060
  2127. </td>
  2128. <td style="text-align:left;">
  2129. 0.2334
  2130. </td>
  2131. <td style="text-align:left;">
  2132. 51
  2133. </td>
  2134. </tr>
  2135. <tr>
  2136. <td style="text-align:left;font-weight: bold;">
  2137. </td>
  2138. <td style="text-align:left;">
  2139. </td>
  2140. <td style="text-align:left;">
  2141. b_4
  2142. </td>
  2143. <td style="text-align:left;">
  2144. 0.0157
  2145. </td>
  2146. <td style="text-align:left;">
  2147. 0.2489
  2148. </td>
  2149. <td style="text-align:left;">
  2150. 51
  2151. </td>
  2152. </tr>
  2153. <tr>
  2154. <td style="text-align:left;font-weight: bold;">
  2155. </td>
  2156. <td style="text-align:left;">
  2157. seplr
  2158. </td>
  2159. <td style="text-align:left;">
  2160. b_0
  2161. </td>
  2162. <td style="text-align:left;">
  2163. 0.1603
  2164. </td>
  2165. <td style="text-align:left;">
  2166. 1.3184
  2167. </td>
  2168. <td style="text-align:left;">
  2169. 51
  2170. </td>
  2171. </tr>
  2172. <tr>
  2173. <td style="text-align:left;font-weight: bold;">
  2174. </td>
  2175. <td style="text-align:left;">
  2176. </td>
  2177. <td style="text-align:left;">
  2178. b_1
  2179. </td>
  2180. <td style="text-align:left;">
  2181. -0.1912
  2182. </td>
  2183. <td style="text-align:left;">
  2184. 0.1262
  2185. </td>
  2186. <td style="text-align:left;">
  2187. 51
  2188. </td>
  2189. </tr>
  2190. <tr>
  2191. <td style="text-align:left;font-weight: bold;">
  2192. </td>
  2193. <td style="text-align:left;">
  2194. </td>
  2195. <td style="text-align:left;">
  2196. b_2
  2197. </td>
  2198. <td style="text-align:left;">
  2199. 0.1893
  2200. </td>
  2201. <td style="text-align:left;">
  2202. 0.1185
  2203. </td>
  2204. <td style="text-align:left;">
  2205. 51
  2206. </td>
  2207. </tr>
  2208. <tr>
  2209. <td style="text-align:left;font-weight: bold;">
  2210. </td>
  2211. <td style="text-align:left;">
  2212. uncertainty_seplr
  2213. </td>
  2214. <td style="text-align:left;">
  2215. b_0
  2216. </td>
  2217. <td style="text-align:left;">
  2218. -0.4306
  2219. </td>
  2220. <td style="text-align:left;">
  2221. 3.0127
  2222. </td>
  2223. <td style="text-align:left;">
  2224. 51
  2225. </td>
  2226. </tr>
  2227. <tr>
  2228. <td style="text-align:left;font-weight: bold;">
  2229. </td>
  2230. <td style="text-align:left;">
  2231. </td>
  2232. <td style="text-align:left;">
  2233. b_1
  2234. </td>
  2235. <td style="text-align:left;">
  2236. -0.1863
  2237. </td>
  2238. <td style="text-align:left;">
  2239. 0.1301
  2240. </td>
  2241. <td style="text-align:left;">
  2242. 51
  2243. </td>
  2244. </tr>
  2245. <tr>
  2246. <td style="text-align:left;font-weight: bold;">
  2247. </td>
  2248. <td style="text-align:left;">
  2249. </td>
  2250. <td style="text-align:left;">
  2251. b_2
  2252. </td>
  2253. <td style="text-align:left;">
  2254. 0.1941
  2255. </td>
  2256. <td style="text-align:left;">
  2257. 0.1499
  2258. </td>
  2259. <td style="text-align:left;">
  2260. 51
  2261. </td>
  2262. </tr>
  2263. <tr>
  2264. <td style="text-align:left;font-weight: bold;">
  2265. </td>
  2266. <td style="text-align:left;">
  2267. </td>
  2268. <td style="text-align:left;">
  2269. b_3
  2270. </td>
  2271. <td style="text-align:left;">
  2272. 0.0114
  2273. </td>
  2274. <td style="text-align:left;">
  2275. 0.2459
  2276. </td>
  2277. <td style="text-align:left;">
  2278. 51
  2279. </td>
  2280. </tr>
  2281. <tr>
  2282. <td style="text-align:left;font-weight: bold;">
  2283. </td>
  2284. <td style="text-align:left;">
  2285. </td>
  2286. <td style="text-align:left;">
  2287. b_4
  2288. </td>
  2289. <td style="text-align:left;">
  2290. -0.0044
  2291. </td>
  2292. <td style="text-align:left;">
  2293. 0.2695
  2294. </td>
  2295. <td style="text-align:left;">
  2296. 51
  2297. </td>
  2298. </tr>
  2299. <tr>
  2300. <td style="text-align:left;font-weight: bold;">
  2301. </td>
  2302. <td style="text-align:left;">
  2303. surprise
  2304. </td>
  2305. <td style="text-align:left;">
  2306. b_0
  2307. </td>
  2308. <td style="text-align:left;">
  2309. -0.0090
  2310. </td>
  2311. <td style="text-align:left;">
  2312. 1.1907
  2313. </td>
  2314. <td style="text-align:left;">
  2315. 51
  2316. </td>
  2317. </tr>
  2318. <tr>
  2319. <td style="text-align:left;font-weight: bold;">
  2320. </td>
  2321. <td style="text-align:left;">
  2322. </td>
  2323. <td style="text-align:left;">
  2324. b_1
  2325. </td>
  2326. <td style="text-align:left;">
  2327. -0.1878
  2328. </td>
  2329. <td style="text-align:left;">
  2330. 0.1146
  2331. </td>
  2332. <td style="text-align:left;">
  2333. 51
  2334. </td>
  2335. </tr>
  2336. <tr>
  2337. <td style="text-align:left;font-weight: bold;">
  2338. </td>
  2339. <td style="text-align:left;">
  2340. </td>
  2341. <td style="text-align:left;">
  2342. b_2
  2343. </td>
  2344. <td style="text-align:left;">
  2345. 0.1886
  2346. </td>
  2347. <td style="text-align:left;">
  2348. 0.1127
  2349. </td>
  2350. <td style="text-align:left;">
  2351. 51
  2352. </td>
  2353. </tr>
  2354. <tr>
  2355. <td style="text-align:left;font-weight: bold;">
  2356. </td>
  2357. <td style="text-align:left;">
  2358. uncertainty_surprise
  2359. </td>
  2360. <td style="text-align:left;">
  2361. b_0
  2362. </td>
  2363. <td style="text-align:left;">
  2364. 0.0674
  2365. </td>
  2366. <td style="text-align:left;">
  2367. 1.4031
  2368. </td>
  2369. <td style="text-align:left;">
  2370. 51
  2371. </td>
  2372. </tr>
  2373. <tr>
  2374. <td style="text-align:left;font-weight: bold;">
  2375. </td>
  2376. <td style="text-align:left;">
  2377. </td>
  2378. <td style="text-align:left;">
  2379. b_1
  2380. </td>
  2381. <td style="text-align:left;">
  2382. -0.1851
  2383. </td>
  2384. <td style="text-align:left;">
  2385. 0.0923
  2386. </td>
  2387. <td style="text-align:left;">
  2388. 51
  2389. </td>
  2390. </tr>
  2391. <tr>
  2392. <td style="text-align:left;font-weight: bold;">
  2393. </td>
  2394. <td style="text-align:left;">
  2395. </td>
  2396. <td style="text-align:left;">
  2397. b_2
  2398. </td>
  2399. <td style="text-align:left;">
  2400. 0.1849
  2401. </td>
  2402. <td style="text-align:left;">
  2403. 0.0862
  2404. </td>
  2405. <td style="text-align:left;">
  2406. 51
  2407. </td>
  2408. </tr>
  2409. <tr>
  2410. <td style="text-align:left;font-weight: bold;">
  2411. </td>
  2412. <td style="text-align:left;">
  2413. </td>
  2414. <td style="text-align:left;">
  2415. b_3
  2416. </td>
  2417. <td style="text-align:left;">
  2418. 0.0280
  2419. </td>
  2420. <td style="text-align:left;">
  2421. 0.2035
  2422. </td>
  2423. <td style="text-align:left;">
  2424. 51
  2425. </td>
  2426. </tr>
  2427. <tr>
  2428. <td style="text-align:left;font-weight: bold;">
  2429. </td>
  2430. <td style="text-align:left;">
  2431. </td>
  2432. <td style="text-align:left;">
  2433. b_4
  2434. </td>
  2435. <td style="text-align:left;">
  2436. -0.0408
  2437. </td>
  2438. <td style="text-align:left;">
  2439. 0.1900
  2440. </td>
  2441. <td style="text-align:left;">
  2442. 51
  2443. </td>
  2444. </tr>
  2445. <tr>
  2446. <td style="text-align:left;font-weight: bold;">
  2447. younger
  2448. </td>
  2449. <td style="text-align:left;">
  2450. rw
  2451. </td>
  2452. <td style="text-align:left;">
  2453. b_0
  2454. </td>
  2455. <td style="text-align:left;">
  2456. 0.0739
  2457. </td>
  2458. <td style="text-align:left;">
  2459. 1.9536
  2460. </td>
  2461. <td style="text-align:left;">
  2462. 51
  2463. </td>
  2464. </tr>
  2465. <tr>
  2466. <td style="text-align:left;font-weight: bold;">
  2467. </td>
  2468. <td style="text-align:left;">
  2469. </td>
  2470. <td style="text-align:left;">
  2471. b_1
  2472. </td>
  2473. <td style="text-align:left;">
  2474. -0.1621
  2475. </td>
  2476. <td style="text-align:left;">
  2477. 0.1292
  2478. </td>
  2479. <td style="text-align:left;">
  2480. 51
  2481. </td>
  2482. </tr>
  2483. <tr>
  2484. <td style="text-align:left;font-weight: bold;">
  2485. </td>
  2486. <td style="text-align:left;">
  2487. </td>
  2488. <td style="text-align:left;">
  2489. b_2
  2490. </td>
  2491. <td style="text-align:left;">
  2492. 0.1613
  2493. </td>
  2494. <td style="text-align:left;">
  2495. 0.1441
  2496. </td>
  2497. <td style="text-align:left;">
  2498. 51
  2499. </td>
  2500. </tr>
  2501. <tr>
  2502. <td style="text-align:left;font-weight: bold;">
  2503. </td>
  2504. <td style="text-align:left;">
  2505. uncertainty
  2506. </td>
  2507. <td style="text-align:left;">
  2508. b_0
  2509. </td>
  2510. <td style="text-align:left;">
  2511. 0.1774
  2512. </td>
  2513. <td style="text-align:left;">
  2514. 2.5272
  2515. </td>
  2516. <td style="text-align:left;">
  2517. 51
  2518. </td>
  2519. </tr>
  2520. <tr>
  2521. <td style="text-align:left;font-weight: bold;">
  2522. </td>
  2523. <td style="text-align:left;">
  2524. </td>
  2525. <td style="text-align:left;">
  2526. b_1
  2527. </td>
  2528. <td style="text-align:left;">
  2529. -0.1761
  2530. </td>
  2531. <td style="text-align:left;">
  2532. 0.1500
  2533. </td>
  2534. <td style="text-align:left;">
  2535. 51
  2536. </td>
  2537. </tr>
  2538. <tr>
  2539. <td style="text-align:left;font-weight: bold;">
  2540. </td>
  2541. <td style="text-align:left;">
  2542. </td>
  2543. <td style="text-align:left;">
  2544. b_2
  2545. </td>
  2546. <td style="text-align:left;">
  2547. 0.1727
  2548. </td>
  2549. <td style="text-align:left;">
  2550. 0.1360
  2551. </td>
  2552. <td style="text-align:left;">
  2553. 51
  2554. </td>
  2555. </tr>
  2556. <tr>
  2557. <td style="text-align:left;font-weight: bold;">
  2558. </td>
  2559. <td style="text-align:left;">
  2560. </td>
  2561. <td style="text-align:left;">
  2562. b_3
  2563. </td>
  2564. <td style="text-align:left;">
  2565. -0.0834
  2566. </td>
  2567. <td style="text-align:left;">
  2568. 0.1570
  2569. </td>
  2570. <td style="text-align:left;">
  2571. 51
  2572. </td>
  2573. </tr>
  2574. <tr>
  2575. <td style="text-align:left;font-weight: bold;">
  2576. </td>
  2577. <td style="text-align:left;">
  2578. </td>
  2579. <td style="text-align:left;">
  2580. b_4
  2581. </td>
  2582. <td style="text-align:left;">
  2583. 0.0592
  2584. </td>
  2585. <td style="text-align:left;">
  2586. 0.1254
  2587. </td>
  2588. <td style="text-align:left;">
  2589. 51
  2590. </td>
  2591. </tr>
  2592. <tr>
  2593. <td style="text-align:left;font-weight: bold;">
  2594. </td>
  2595. <td style="text-align:left;">
  2596. seplr
  2597. </td>
  2598. <td style="text-align:left;">
  2599. b_0
  2600. </td>
  2601. <td style="text-align:left;">
  2602. 0.0346
  2603. </td>
  2604. <td style="text-align:left;">
  2605. 1.5028
  2606. </td>
  2607. <td style="text-align:left;">
  2608. 51
  2609. </td>
  2610. </tr>
  2611. <tr>
  2612. <td style="text-align:left;font-weight: bold;">
  2613. </td>
  2614. <td style="text-align:left;">
  2615. </td>
  2616. <td style="text-align:left;">
  2617. b_1
  2618. </td>
  2619. <td style="text-align:left;">
  2620. -0.1492
  2621. </td>
  2622. <td style="text-align:left;">
  2623. 0.1053
  2624. </td>
  2625. <td style="text-align:left;">
  2626. 51
  2627. </td>
  2628. </tr>
  2629. <tr>
  2630. <td style="text-align:left;font-weight: bold;">
  2631. </td>
  2632. <td style="text-align:left;">
  2633. </td>
  2634. <td style="text-align:left;">
  2635. b_2
  2636. </td>
  2637. <td style="text-align:left;">
  2638. 0.1488
  2639. </td>
  2640. <td style="text-align:left;">
  2641. 0.1135
  2642. </td>
  2643. <td style="text-align:left;">
  2644. 51
  2645. </td>
  2646. </tr>
  2647. <tr>
  2648. <td style="text-align:left;font-weight: bold;">
  2649. </td>
  2650. <td style="text-align:left;">
  2651. uncertainty_seplr
  2652. </td>
  2653. <td style="text-align:left;">
  2654. b_0
  2655. </td>
  2656. <td style="text-align:left;">
  2657. -0.0029
  2658. </td>
  2659. <td style="text-align:left;">
  2660. 1.5288
  2661. </td>
  2662. <td style="text-align:left;">
  2663. 51
  2664. </td>
  2665. </tr>
  2666. <tr>
  2667. <td style="text-align:left;font-weight: bold;">
  2668. </td>
  2669. <td style="text-align:left;">
  2670. </td>
  2671. <td style="text-align:left;">
  2672. b_1
  2673. </td>
  2674. <td style="text-align:left;">
  2675. -0.1344
  2676. </td>
  2677. <td style="text-align:left;">
  2678. 0.0750
  2679. </td>
  2680. <td style="text-align:left;">
  2681. 51
  2682. </td>
  2683. </tr>
  2684. <tr>
  2685. <td style="text-align:left;font-weight: bold;">
  2686. </td>
  2687. <td style="text-align:left;">
  2688. </td>
  2689. <td style="text-align:left;">
  2690. b_2
  2691. </td>
  2692. <td style="text-align:left;">
  2693. 0.1334
  2694. </td>
  2695. <td style="text-align:left;">
  2696. 0.0800
  2697. </td>
  2698. <td style="text-align:left;">
  2699. 51
  2700. </td>
  2701. </tr>
  2702. <tr>
  2703. <td style="text-align:left;font-weight: bold;">
  2704. </td>
  2705. <td style="text-align:left;">
  2706. </td>
  2707. <td style="text-align:left;">
  2708. b_3
  2709. </td>
  2710. <td style="text-align:left;">
  2711. -0.0596
  2712. </td>
  2713. <td style="text-align:left;">
  2714. 0.1140
  2715. </td>
  2716. <td style="text-align:left;">
  2717. 51
  2718. </td>
  2719. </tr>
  2720. <tr>
  2721. <td style="text-align:left;font-weight: bold;">
  2722. </td>
  2723. <td style="text-align:left;">
  2724. </td>
  2725. <td style="text-align:left;">
  2726. b_4
  2727. </td>
  2728. <td style="text-align:left;">
  2729. 0.0623
  2730. </td>
  2731. <td style="text-align:left;">
  2732. 0.1169
  2733. </td>
  2734. <td style="text-align:left;">
  2735. 51
  2736. </td>
  2737. </tr>
  2738. <tr>
  2739. <td style="text-align:left;font-weight: bold;">
  2740. </td>
  2741. <td style="text-align:left;">
  2742. surprise
  2743. </td>
  2744. <td style="text-align:left;">
  2745. b_0
  2746. </td>
  2747. <td style="text-align:left;">
  2748. 0.0900
  2749. </td>
  2750. <td style="text-align:left;">
  2751. 1.4125
  2752. </td>
  2753. <td style="text-align:left;">
  2754. 51
  2755. </td>
  2756. </tr>
  2757. <tr>
  2758. <td style="text-align:left;font-weight: bold;">
  2759. </td>
  2760. <td style="text-align:left;">
  2761. </td>
  2762. <td style="text-align:left;">
  2763. b_1
  2764. </td>
  2765. <td style="text-align:left;">
  2766. -0.1493
  2767. </td>
  2768. <td style="text-align:left;">
  2769. 0.1031
  2770. </td>
  2771. <td style="text-align:left;">
  2772. 51
  2773. </td>
  2774. </tr>
  2775. <tr>
  2776. <td style="text-align:left;font-weight: bold;">
  2777. </td>
  2778. <td style="text-align:left;">
  2779. </td>
  2780. <td style="text-align:left;">
  2781. b_2
  2782. </td>
  2783. <td style="text-align:left;">
  2784. 0.1483
  2785. </td>
  2786. <td style="text-align:left;">
  2787. 0.1148
  2788. </td>
  2789. <td style="text-align:left;">
  2790. 51
  2791. </td>
  2792. </tr>
  2793. <tr>
  2794. <td style="text-align:left;font-weight: bold;">
  2795. </td>
  2796. <td style="text-align:left;">
  2797. uncertainty_surprise
  2798. </td>
  2799. <td style="text-align:left;">
  2800. b_0
  2801. </td>
  2802. <td style="text-align:left;">
  2803. 0.1576
  2804. </td>
  2805. <td style="text-align:left;">
  2806. 1.6049
  2807. </td>
  2808. <td style="text-align:left;">
  2809. 51
  2810. </td>
  2811. </tr>
  2812. <tr>
  2813. <td style="text-align:left;font-weight: bold;">
  2814. </td>
  2815. <td style="text-align:left;">
  2816. </td>
  2817. <td style="text-align:left;">
  2818. b_1
  2819. </td>
  2820. <td style="text-align:left;">
  2821. -0.1438
  2822. </td>
  2823. <td style="text-align:left;">
  2824. 0.0801
  2825. </td>
  2826. <td style="text-align:left;">
  2827. 51
  2828. </td>
  2829. </tr>
  2830. <tr>
  2831. <td style="text-align:left;font-weight: bold;">
  2832. </td>
  2833. <td style="text-align:left;">
  2834. </td>
  2835. <td style="text-align:left;">
  2836. b_2
  2837. </td>
  2838. <td style="text-align:left;">
  2839. 0.1413
  2840. </td>
  2841. <td style="text-align:left;">
  2842. 0.0846
  2843. </td>
  2844. <td style="text-align:left;">
  2845. 51
  2846. </td>
  2847. </tr>
  2848. <tr>
  2849. <td style="text-align:left;font-weight: bold;">
  2850. </td>
  2851. <td style="text-align:left;">
  2852. </td>
  2853. <td style="text-align:left;">
  2854. b_3
  2855. </td>
  2856. <td style="text-align:left;">
  2857. -0.0171
  2858. </td>
  2859. <td style="text-align:left;">
  2860. 0.1081
  2861. </td>
  2862. <td style="text-align:left;">
  2863. 51
  2864. </td>
  2865. </tr>
  2866. <tr>
  2867. <td style="text-align:left;font-weight: bold;">
  2868. </td>
  2869. <td style="text-align:left;">
  2870. </td>
  2871. <td style="text-align:left;">
  2872. b_4
  2873. </td>
  2874. <td style="text-align:left;">
  2875. 0.0093
  2876. </td>
  2877. <td style="text-align:left;">
  2878. 0.0979
  2879. </td>
  2880. <td style="text-align:left;">
  2881. 51
  2882. </td>
  2883. </tr>
  2884. </tbody>
  2885. </table>
  2886. </div>
  2887. </div>
  2888. <div id="using-z-scored-predictors" class="section level3">
  2889. <h3>Using z-scored predictors</h3>
  2890. <pre class="r"><code># Get data for betas
  2891. data_betas_z = data %&gt;%
  2892. .[variable == &#39;coefs&#39;,] %&gt;%
  2893. .[x %in% c(&#39;z_(Intercept)&#39;, &#39;z_V1&#39;, &#39;z_V2&#39;, &#39;z_V1u&#39;, &#39;z_V2u&#39;), ] %&gt;%
  2894. .[, (&#39;x&#39;) := lapply(.SD,
  2895. factor,
  2896. levels = c(&#39;z_(Intercept)&#39;, &#39;z_V1&#39;, &#39;z_V2&#39;, &#39;z_V1u&#39;, &#39;z_V2u&#39;),
  2897. labels= c(&#39;b_0&#39;, &#39;b_1&#39;, &#39;b_2&#39;, &#39;b_3&#39;, &#39;b_4&#39;)),
  2898. .SDcols = &#39;x&#39;]</code></pre>
  2899. <div id="plot-1" class="section level4">
  2900. <h4>Plot</h4>
  2901. <pre class="r"><code>data_plot = data_betas_z
  2902. p_3betas = ggplot(data = data_plot[model %in% c(&#39;rw&#39;, &#39;surprise&#39;, &#39;seplr&#39;)],
  2903. aes(x = x,
  2904. y = value,
  2905. fill = model)) +
  2906. geom_hline(yintercept = 0,
  2907. linewidth = 0.1) +
  2908. geom_point(alpha = 0.3,
  2909. size = 0.5,
  2910. position = sdamr::position_jitternudge(jitter.width = 0.05,
  2911. jitter.height = 0,
  2912. nudge.x = -0.1,
  2913. nudge.y = 0)) +
  2914. geom_boxplot(width = 0.1,
  2915. outlier.shape = NA) +
  2916. gghalves::geom_half_violin(side = &#39;r&#39;,
  2917. color = NA,
  2918. alpha = 0.8,
  2919. position = position_nudge(x = 0.1,
  2920. y = 0)) +
  2921. facet_wrap(~model, ncol = 1) +
  2922. scale_y_continuous(limits = c(min(data_plot$value), max(data_plot$value))) +
  2923. theme(panel.grid.major.x = element_blank(),
  2924. panel.grid.minor.x = element_blank(),
  2925. axis.title.x = element_blank(),
  2926. legend.position = &#39;none&#39;)
  2927. p_3betas = Neurocodify_plot(p_3betas)
  2928. p_5betas = ggplot(data = data_plot[model %in% c(&#39;uncertainty&#39;, &#39;uncertainty_surprise&#39;, &#39;uncertainty_seplr&#39;)],
  2929. aes(x = x,
  2930. y = value,
  2931. fill = model)) +
  2932. geom_hline(yintercept = 0,
  2933. linewidth = 0.1) +
  2934. geom_point(alpha = 0.3,
  2935. size = 0.5,
  2936. position = sdamr::position_jitternudge(jitter.width = 0.05,
  2937. jitter.height = 0,
  2938. nudge.x = -0.1,
  2939. nudge.y = 0)) +
  2940. geom_boxplot(width = 0.1,
  2941. outlier.shape = NA) +
  2942. gghalves::geom_half_violin(side = &#39;r&#39;,
  2943. color = NA,
  2944. alpha = 0.8,
  2945. position = position_nudge(x = 0.1,
  2946. y = 0)) +
  2947. facet_wrap(~model, ncol = 1) +
  2948. scale_y_continuous(limits = c(min(data_plot$value), max(data_plot$value))) +
  2949. theme(panel.grid.major.x = element_blank(),
  2950. panel.grid.minor.x = element_blank(),
  2951. axis.title.x = element_blank(),
  2952. legend.position = &#39;none&#39;)
  2953. p_5betas = Neurocodify_plot(p_5betas)
  2954. p = cowplot::plot_grid(p_3betas, p_5betas,
  2955. ncol = 2,
  2956. rel_widths = c(3,5),
  2957. axis = &#39;tb&#39;,
  2958. align = &#39;h&#39;)
  2959. p</code></pre>
  2960. <p><img 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" width="672" /></p>
  2961. </div>
  2962. <div id="across-groups-1" class="section level4">
  2963. <h4>Across groups</h4>
  2964. <pre class="r"><code># Prepare table
  2965. table_betas_all_z = data_betas_z %&gt;%
  2966. .[, .(mean = mean(value),
  2967. sd = sd(value),
  2968. n = .N),
  2969. by = c(&#39;model&#39;, &#39;x&#39;)]
  2970. # Display table
  2971. table_betas_all_z = table_betas_all_z %&gt;%
  2972. data.table::setcolorder(c(&#39;model&#39;, &#39;x&#39;)) %&gt;%
  2973. data.table::setorder(model, x) %&gt;%
  2974. .[, c(&#39;mean&#39;, &#39;sd&#39;) := lapply(.SD, round, 4), .SDcols = c(&#39;mean&#39;, &#39;sd&#39;)] %&gt;%
  2975. Collapse_repeated_rows(x = .,
  2976. columns = 1,
  2977. replace = &#39;&#39;) %&gt;%
  2978. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  2979. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  2980. kableExtra::column_spec(1,
  2981. bold = TRUE) %&gt;%
  2982. kableExtra::row_spec(row = 0,
  2983. bold = TRUE)
  2984. table_betas_all_z</code></pre>
  2985. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  2986. <thead>
  2987. <tr>
  2988. <th style="text-align:left;font-weight: bold;">
  2989. model
  2990. </th>
  2991. <th style="text-align:left;font-weight: bold;">
  2992. x
  2993. </th>
  2994. <th style="text-align:left;font-weight: bold;">
  2995. mean
  2996. </th>
  2997. <th style="text-align:left;font-weight: bold;">
  2998. sd
  2999. </th>
  3000. <th style="text-align:left;font-weight: bold;">
  3001. n
  3002. </th>
  3003. </tr>
  3004. </thead>
  3005. <tbody>
  3006. <tr>
  3007. <td style="text-align:left;font-weight: bold;">
  3008. rw
  3009. </td>
  3010. <td style="text-align:left;">
  3011. b_0
  3012. </td>
  3013. <td style="text-align:left;">
  3014. 0.0390
  3015. </td>
  3016. <td style="text-align:left;">
  3017. 0.3002
  3018. </td>
  3019. <td style="text-align:left;">
  3020. 102
  3021. </td>
  3022. </tr>
  3023. <tr>
  3024. <td style="text-align:left;font-weight: bold;">
  3025. </td>
  3026. <td style="text-align:left;">
  3027. b_1
  3028. </td>
  3029. <td style="text-align:left;">
  3030. -2.2722
  3031. </td>
  3032. <td style="text-align:left;">
  3033. 1.0749
  3034. </td>
  3035. <td style="text-align:left;">
  3036. 102
  3037. </td>
  3038. </tr>
  3039. <tr>
  3040. <td style="text-align:left;font-weight: bold;">
  3041. </td>
  3042. <td style="text-align:left;">
  3043. b_2
  3044. </td>
  3045. <td style="text-align:left;">
  3046. 2.2787
  3047. </td>
  3048. <td style="text-align:left;">
  3049. 1.1567
  3050. </td>
  3051. <td style="text-align:left;">
  3052. 102
  3053. </td>
  3054. </tr>
  3055. <tr>
  3056. <td style="text-align:left;font-weight: bold;">
  3057. uncertainty
  3058. </td>
  3059. <td style="text-align:left;">
  3060. b_0
  3061. </td>
  3062. <td style="text-align:left;">
  3063. 0.0350
  3064. </td>
  3065. <td style="text-align:left;">
  3066. 0.5088
  3067. </td>
  3068. <td style="text-align:left;">
  3069. 102
  3070. </td>
  3071. </tr>
  3072. <tr>
  3073. <td style="text-align:left;font-weight: bold;">
  3074. </td>
  3075. <td style="text-align:left;">
  3076. b_1
  3077. </td>
  3078. <td style="text-align:left;">
  3079. -2.5528
  3080. </td>
  3081. <td style="text-align:left;">
  3082. 1.5217
  3083. </td>
  3084. <td style="text-align:left;">
  3085. 102
  3086. </td>
  3087. </tr>
  3088. <tr>
  3089. <td style="text-align:left;font-weight: bold;">
  3090. </td>
  3091. <td style="text-align:left;">
  3092. b_2
  3093. </td>
  3094. <td style="text-align:left;">
  3095. 2.5554
  3096. </td>
  3097. <td style="text-align:left;">
  3098. 1.4688
  3099. </td>
  3100. <td style="text-align:left;">
  3101. 102
  3102. </td>
  3103. </tr>
  3104. <tr>
  3105. <td style="text-align:left;font-weight: bold;">
  3106. </td>
  3107. <td style="text-align:left;">
  3108. b_3
  3109. </td>
  3110. <td style="text-align:left;">
  3111. -0.1663
  3112. </td>
  3113. <td style="text-align:left;">
  3114. 0.6613
  3115. </td>
  3116. <td style="text-align:left;">
  3117. 102
  3118. </td>
  3119. </tr>
  3120. <tr>
  3121. <td style="text-align:left;font-weight: bold;">
  3122. </td>
  3123. <td style="text-align:left;">
  3124. b_4
  3125. </td>
  3126. <td style="text-align:left;">
  3127. 0.1885
  3128. </td>
  3129. <td style="text-align:left;">
  3130. 0.6476
  3131. </td>
  3132. <td style="text-align:left;">
  3133. 102
  3134. </td>
  3135. </tr>
  3136. <tr>
  3137. <td style="text-align:left;font-weight: bold;">
  3138. seplr
  3139. </td>
  3140. <td style="text-align:left;">
  3141. b_0
  3142. </td>
  3143. <td style="text-align:left;">
  3144. 0.0365
  3145. </td>
  3146. <td style="text-align:left;">
  3147. 0.3068
  3148. </td>
  3149. <td style="text-align:left;">
  3150. 102
  3151. </td>
  3152. </tr>
  3153. <tr>
  3154. <td style="text-align:left;font-weight: bold;">
  3155. </td>
  3156. <td style="text-align:left;">
  3157. b_1
  3158. </td>
  3159. <td style="text-align:left;">
  3160. -2.3476
  3161. </td>
  3162. <td style="text-align:left;">
  3163. 1.1458
  3164. </td>
  3165. <td style="text-align:left;">
  3166. 102
  3167. </td>
  3168. </tr>
  3169. <tr>
  3170. <td style="text-align:left;font-weight: bold;">
  3171. </td>
  3172. <td style="text-align:left;">
  3173. b_2
  3174. </td>
  3175. <td style="text-align:left;">
  3176. 2.3326
  3177. </td>
  3178. <td style="text-align:left;">
  3179. 1.1355
  3180. </td>
  3181. <td style="text-align:left;">
  3182. 102
  3183. </td>
  3184. </tr>
  3185. <tr>
  3186. <td style="text-align:left;font-weight: bold;">
  3187. uncertainty_seplr
  3188. </td>
  3189. <td style="text-align:left;">
  3190. b_0
  3191. </td>
  3192. <td style="text-align:left;">
  3193. 0.0624
  3194. </td>
  3195. <td style="text-align:left;">
  3196. 0.4242
  3197. </td>
  3198. <td style="text-align:left;">
  3199. 102
  3200. </td>
  3201. </tr>
  3202. <tr>
  3203. <td style="text-align:left;font-weight: bold;">
  3204. </td>
  3205. <td style="text-align:left;">
  3206. b_1
  3207. </td>
  3208. <td style="text-align:left;">
  3209. -2.3120
  3210. </td>
  3211. <td style="text-align:left;">
  3212. 1.2228
  3213. </td>
  3214. <td style="text-align:left;">
  3215. 102
  3216. </td>
  3217. </tr>
  3218. <tr>
  3219. <td style="text-align:left;font-weight: bold;">
  3220. </td>
  3221. <td style="text-align:left;">
  3222. b_2
  3223. </td>
  3224. <td style="text-align:left;">
  3225. 2.3262
  3226. </td>
  3227. <td style="text-align:left;">
  3228. 1.2451
  3229. </td>
  3230. <td style="text-align:left;">
  3231. 102
  3232. </td>
  3233. </tr>
  3234. <tr>
  3235. <td style="text-align:left;font-weight: bold;">
  3236. </td>
  3237. <td style="text-align:left;">
  3238. b_3
  3239. </td>
  3240. <td style="text-align:left;">
  3241. -0.1747
  3242. </td>
  3243. <td style="text-align:left;">
  3244. 0.8835
  3245. </td>
  3246. <td style="text-align:left;">
  3247. 102
  3248. </td>
  3249. </tr>
  3250. <tr>
  3251. <td style="text-align:left;font-weight: bold;">
  3252. </td>
  3253. <td style="text-align:left;">
  3254. b_4
  3255. </td>
  3256. <td style="text-align:left;">
  3257. 0.2178
  3258. </td>
  3259. <td style="text-align:left;">
  3260. 0.9078
  3261. </td>
  3262. <td style="text-align:left;">
  3263. 102
  3264. </td>
  3265. </tr>
  3266. <tr>
  3267. <td style="text-align:left;font-weight: bold;">
  3268. surprise
  3269. </td>
  3270. <td style="text-align:left;">
  3271. b_0
  3272. </td>
  3273. <td style="text-align:left;">
  3274. 0.0418
  3275. </td>
  3276. <td style="text-align:left;">
  3277. 0.3149
  3278. </td>
  3279. <td style="text-align:left;">
  3280. 102
  3281. </td>
  3282. </tr>
  3283. <tr>
  3284. <td style="text-align:left;font-weight: bold;">
  3285. </td>
  3286. <td style="text-align:left;">
  3287. b_1
  3288. </td>
  3289. <td style="text-align:left;">
  3290. -2.3696
  3291. </td>
  3292. <td style="text-align:left;">
  3293. 1.1170
  3294. </td>
  3295. <td style="text-align:left;">
  3296. 102
  3297. </td>
  3298. </tr>
  3299. <tr>
  3300. <td style="text-align:left;font-weight: bold;">
  3301. </td>
  3302. <td style="text-align:left;">
  3303. b_2
  3304. </td>
  3305. <td style="text-align:left;">
  3306. 2.3539
  3307. </td>
  3308. <td style="text-align:left;">
  3309. 1.1161
  3310. </td>
  3311. <td style="text-align:left;">
  3312. 102
  3313. </td>
  3314. </tr>
  3315. <tr>
  3316. <td style="text-align:left;font-weight: bold;">
  3317. uncertainty_surprise
  3318. </td>
  3319. <td style="text-align:left;">
  3320. b_0
  3321. </td>
  3322. <td style="text-align:left;">
  3323. 0.0313
  3324. </td>
  3325. <td style="text-align:left;">
  3326. 0.3311
  3327. </td>
  3328. <td style="text-align:left;">
  3329. 102
  3330. </td>
  3331. </tr>
  3332. <tr>
  3333. <td style="text-align:left;font-weight: bold;">
  3334. </td>
  3335. <td style="text-align:left;">
  3336. b_1
  3337. </td>
  3338. <td style="text-align:left;">
  3339. -2.4255
  3340. </td>
  3341. <td style="text-align:left;">
  3342. 1.1094
  3343. </td>
  3344. <td style="text-align:left;">
  3345. 102
  3346. </td>
  3347. </tr>
  3348. <tr>
  3349. <td style="text-align:left;font-weight: bold;">
  3350. </td>
  3351. <td style="text-align:left;">
  3352. b_2
  3353. </td>
  3354. <td style="text-align:left;">
  3355. 2.4037
  3356. </td>
  3357. <td style="text-align:left;">
  3358. 1.1019
  3359. </td>
  3360. <td style="text-align:left;">
  3361. 102
  3362. </td>
  3363. </tr>
  3364. <tr>
  3365. <td style="text-align:left;font-weight: bold;">
  3366. </td>
  3367. <td style="text-align:left;">
  3368. b_3
  3369. </td>
  3370. <td style="text-align:left;">
  3371. 0.0049
  3372. </td>
  3373. <td style="text-align:left;">
  3374. 0.5422
  3375. </td>
  3376. <td style="text-align:left;">
  3377. 102
  3378. </td>
  3379. </tr>
  3380. <tr>
  3381. <td style="text-align:left;font-weight: bold;">
  3382. </td>
  3383. <td style="text-align:left;">
  3384. b_4
  3385. </td>
  3386. <td style="text-align:left;">
  3387. -0.0127
  3388. </td>
  3389. <td style="text-align:left;">
  3390. 0.5064
  3391. </td>
  3392. <td style="text-align:left;">
  3393. 102
  3394. </td>
  3395. </tr>
  3396. </tbody>
  3397. </table>
  3398. </div>
  3399. <div id="within-groups-1" class="section level4">
  3400. <h4>Within groups</h4>
  3401. <pre class="r"><code>table_betas_group_z = data_betas_z %&gt;%
  3402. .[, .(mean = mean(value),
  3403. sd = sd(value),
  3404. n = .N),
  3405. by = c(&#39;model&#39;, &#39;group&#39;, &#39;x&#39;)]
  3406. # Display table
  3407. table_betas_group_z = table_betas_group_z %&gt;%
  3408. data.table::setcolorder(c(&#39;group&#39;, &#39;model&#39;, &#39;x&#39;)) %&gt;%
  3409. data.table::setorder(group, model, x) %&gt;%
  3410. .[, c(&#39;mean&#39;, &#39;sd&#39;) := lapply(.SD, round, 4), .SDcols = c(&#39;mean&#39;, &#39;sd&#39;)] %&gt;%
  3411. Collapse_repeated_rows(x = .,
  3412. columns = c(1,2),
  3413. replace = &#39;&#39;) %&gt;%
  3414. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  3415. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  3416. kableExtra::column_spec(1,
  3417. bold = TRUE) %&gt;%
  3418. kableExtra::row_spec(row = 0,
  3419. bold = TRUE)
  3420. table_betas_group_z</code></pre>
  3421. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  3422. <thead>
  3423. <tr>
  3424. <th style="text-align:left;font-weight: bold;">
  3425. group
  3426. </th>
  3427. <th style="text-align:left;font-weight: bold;">
  3428. model
  3429. </th>
  3430. <th style="text-align:left;font-weight: bold;">
  3431. x
  3432. </th>
  3433. <th style="text-align:left;font-weight: bold;">
  3434. mean
  3435. </th>
  3436. <th style="text-align:left;font-weight: bold;">
  3437. sd
  3438. </th>
  3439. <th style="text-align:left;font-weight: bold;">
  3440. n
  3441. </th>
  3442. </tr>
  3443. </thead>
  3444. <tbody>
  3445. <tr>
  3446. <td style="text-align:left;font-weight: bold;">
  3447. older
  3448. </td>
  3449. <td style="text-align:left;">
  3450. rw
  3451. </td>
  3452. <td style="text-align:left;">
  3453. b_0
  3454. </td>
  3455. <td style="text-align:left;">
  3456. 0.0389
  3457. </td>
  3458. <td style="text-align:left;">
  3459. 0.3366
  3460. </td>
  3461. <td style="text-align:left;">
  3462. 51
  3463. </td>
  3464. </tr>
  3465. <tr>
  3466. <td style="text-align:left;font-weight: bold;">
  3467. </td>
  3468. <td style="text-align:left;">
  3469. </td>
  3470. <td style="text-align:left;">
  3471. b_1
  3472. </td>
  3473. <td style="text-align:left;">
  3474. -2.4318
  3475. </td>
  3476. <td style="text-align:left;">
  3477. 1.0467
  3478. </td>
  3479. <td style="text-align:left;">
  3480. 51
  3481. </td>
  3482. </tr>
  3483. <tr>
  3484. <td style="text-align:left;font-weight: bold;">
  3485. </td>
  3486. <td style="text-align:left;">
  3487. </td>
  3488. <td style="text-align:left;">
  3489. b_2
  3490. </td>
  3491. <td style="text-align:left;">
  3492. 2.4580
  3493. </td>
  3494. <td style="text-align:left;">
  3495. 1.1262
  3496. </td>
  3497. <td style="text-align:left;">
  3498. 51
  3499. </td>
  3500. </tr>
  3501. <tr>
  3502. <td style="text-align:left;font-weight: bold;">
  3503. </td>
  3504. <td style="text-align:left;">
  3505. uncertainty
  3506. </td>
  3507. <td style="text-align:left;">
  3508. b_0
  3509. </td>
  3510. <td style="text-align:left;">
  3511. 0.0783
  3512. </td>
  3513. <td style="text-align:left;">
  3514. 0.5571
  3515. </td>
  3516. <td style="text-align:left;">
  3517. 51
  3518. </td>
  3519. </tr>
  3520. <tr>
  3521. <td style="text-align:left;font-weight: bold;">
  3522. </td>
  3523. <td style="text-align:left;">
  3524. </td>
  3525. <td style="text-align:left;">
  3526. b_1
  3527. </td>
  3528. <td style="text-align:left;">
  3529. -2.8826
  3530. </td>
  3531. <td style="text-align:left;">
  3532. 1.6977
  3533. </td>
  3534. <td style="text-align:left;">
  3535. 51
  3536. </td>
  3537. </tr>
  3538. <tr>
  3539. <td style="text-align:left;font-weight: bold;">
  3540. </td>
  3541. <td style="text-align:left;">
  3542. </td>
  3543. <td style="text-align:left;">
  3544. b_2
  3545. </td>
  3546. <td style="text-align:left;">
  3547. 2.9243
  3548. </td>
  3549. <td style="text-align:left;">
  3550. 1.6255
  3551. </td>
  3552. <td style="text-align:left;">
  3553. 51
  3554. </td>
  3555. </tr>
  3556. <tr>
  3557. <td style="text-align:left;font-weight: bold;">
  3558. </td>
  3559. <td style="text-align:left;">
  3560. </td>
  3561. <td style="text-align:left;">
  3562. b_3
  3563. </td>
  3564. <td style="text-align:left;">
  3565. -0.0543
  3566. </td>
  3567. <td style="text-align:left;">
  3568. 0.7310
  3569. </td>
  3570. <td style="text-align:left;">
  3571. 51
  3572. </td>
  3573. </tr>
  3574. <tr>
  3575. <td style="text-align:left;font-weight: bold;">
  3576. </td>
  3577. <td style="text-align:left;">
  3578. </td>
  3579. <td style="text-align:left;">
  3580. b_4
  3581. </td>
  3582. <td style="text-align:left;">
  3583. 0.1126
  3584. </td>
  3585. <td style="text-align:left;">
  3586. 0.7816
  3587. </td>
  3588. <td style="text-align:left;">
  3589. 51
  3590. </td>
  3591. </tr>
  3592. <tr>
  3593. <td style="text-align:left;font-weight: bold;">
  3594. </td>
  3595. <td style="text-align:left;">
  3596. seplr
  3597. </td>
  3598. <td style="text-align:left;">
  3599. b_0
  3600. </td>
  3601. <td style="text-align:left;">
  3602. 0.0346
  3603. </td>
  3604. <td style="text-align:left;">
  3605. 0.3403
  3606. </td>
  3607. <td style="text-align:left;">
  3608. 51
  3609. </td>
  3610. </tr>
  3611. <tr>
  3612. <td style="text-align:left;font-weight: bold;">
  3613. </td>
  3614. <td style="text-align:left;">
  3615. </td>
  3616. <td style="text-align:left;">
  3617. b_1
  3618. </td>
  3619. <td style="text-align:left;">
  3620. -2.5884
  3621. </td>
  3622. <td style="text-align:left;">
  3623. 1.1401
  3624. </td>
  3625. <td style="text-align:left;">
  3626. 51
  3627. </td>
  3628. </tr>
  3629. <tr>
  3630. <td style="text-align:left;font-weight: bold;">
  3631. </td>
  3632. <td style="text-align:left;">
  3633. </td>
  3634. <td style="text-align:left;">
  3635. b_2
  3636. </td>
  3637. <td style="text-align:left;">
  3638. 2.5807
  3639. </td>
  3640. <td style="text-align:left;">
  3641. 1.0912
  3642. </td>
  3643. <td style="text-align:left;">
  3644. 51
  3645. </td>
  3646. </tr>
  3647. <tr>
  3648. <td style="text-align:left;font-weight: bold;">
  3649. </td>
  3650. <td style="text-align:left;">
  3651. uncertainty_seplr
  3652. </td>
  3653. <td style="text-align:left;">
  3654. b_0
  3655. </td>
  3656. <td style="text-align:left;">
  3657. 0.0856
  3658. </td>
  3659. <td style="text-align:left;">
  3660. 0.5130
  3661. </td>
  3662. <td style="text-align:left;">
  3663. 51
  3664. </td>
  3665. </tr>
  3666. <tr>
  3667. <td style="text-align:left;font-weight: bold;">
  3668. </td>
  3669. <td style="text-align:left;">
  3670. </td>
  3671. <td style="text-align:left;">
  3672. b_1
  3673. </td>
  3674. <td style="text-align:left;">
  3675. -2.5754
  3676. </td>
  3677. <td style="text-align:left;">
  3678. 1.3158
  3679. </td>
  3680. <td style="text-align:left;">
  3681. 51
  3682. </td>
  3683. </tr>
  3684. <tr>
  3685. <td style="text-align:left;font-weight: bold;">
  3686. </td>
  3687. <td style="text-align:left;">
  3688. </td>
  3689. <td style="text-align:left;">
  3690. b_2
  3691. </td>
  3692. <td style="text-align:left;">
  3693. 2.6315
  3694. </td>
  3695. <td style="text-align:left;">
  3696. 1.3210
  3697. </td>
  3698. <td style="text-align:left;">
  3699. 51
  3700. </td>
  3701. </tr>
  3702. <tr>
  3703. <td style="text-align:left;font-weight: bold;">
  3704. </td>
  3705. <td style="text-align:left;">
  3706. </td>
  3707. <td style="text-align:left;">
  3708. b_3
  3709. </td>
  3710. <td style="text-align:left;">
  3711. 0.0211
  3712. </td>
  3713. <td style="text-align:left;">
  3714. 0.9525
  3715. </td>
  3716. <td style="text-align:left;">
  3717. 51
  3718. </td>
  3719. </tr>
  3720. <tr>
  3721. <td style="text-align:left;font-weight: bold;">
  3722. </td>
  3723. <td style="text-align:left;">
  3724. </td>
  3725. <td style="text-align:left;">
  3726. b_4
  3727. </td>
  3728. <td style="text-align:left;">
  3729. 0.0415
  3730. </td>
  3731. <td style="text-align:left;">
  3732. 1.0239
  3733. </td>
  3734. <td style="text-align:left;">
  3735. 51
  3736. </td>
  3737. </tr>
  3738. <tr>
  3739. <td style="text-align:left;font-weight: bold;">
  3740. </td>
  3741. <td style="text-align:left;">
  3742. surprise
  3743. </td>
  3744. <td style="text-align:left;">
  3745. b_0
  3746. </td>
  3747. <td style="text-align:left;">
  3748. 0.0388
  3749. </td>
  3750. <td style="text-align:left;">
  3751. 0.3420
  3752. </td>
  3753. <td style="text-align:left;">
  3754. 51
  3755. </td>
  3756. </tr>
  3757. <tr>
  3758. <td style="text-align:left;font-weight: bold;">
  3759. </td>
  3760. <td style="text-align:left;">
  3761. </td>
  3762. <td style="text-align:left;">
  3763. b_1
  3764. </td>
  3765. <td style="text-align:left;">
  3766. -2.5951
  3767. </td>
  3768. <td style="text-align:left;">
  3769. 1.1303
  3770. </td>
  3771. <td style="text-align:left;">
  3772. 51
  3773. </td>
  3774. </tr>
  3775. <tr>
  3776. <td style="text-align:left;font-weight: bold;">
  3777. </td>
  3778. <td style="text-align:left;">
  3779. </td>
  3780. <td style="text-align:left;">
  3781. b_2
  3782. </td>
  3783. <td style="text-align:left;">
  3784. 2.5939
  3785. </td>
  3786. <td style="text-align:left;">
  3787. 1.1121
  3788. </td>
  3789. <td style="text-align:left;">
  3790. 51
  3791. </td>
  3792. </tr>
  3793. <tr>
  3794. <td style="text-align:left;font-weight: bold;">
  3795. </td>
  3796. <td style="text-align:left;">
  3797. uncertainty_surprise
  3798. </td>
  3799. <td style="text-align:left;">
  3800. b_0
  3801. </td>
  3802. <td style="text-align:left;">
  3803. 0.0254
  3804. </td>
  3805. <td style="text-align:left;">
  3806. 0.3561
  3807. </td>
  3808. <td style="text-align:left;">
  3809. 51
  3810. </td>
  3811. </tr>
  3812. <tr>
  3813. <td style="text-align:left;font-weight: bold;">
  3814. </td>
  3815. <td style="text-align:left;">
  3816. </td>
  3817. <td style="text-align:left;">
  3818. b_1
  3819. </td>
  3820. <td style="text-align:left;">
  3821. -2.6836
  3822. </td>
  3823. <td style="text-align:left;">
  3824. 1.0779
  3825. </td>
  3826. <td style="text-align:left;">
  3827. 51
  3828. </td>
  3829. </tr>
  3830. <tr>
  3831. <td style="text-align:left;font-weight: bold;">
  3832. </td>
  3833. <td style="text-align:left;">
  3834. </td>
  3835. <td style="text-align:left;">
  3836. b_2
  3837. </td>
  3838. <td style="text-align:left;">
  3839. 2.6817
  3840. </td>
  3841. <td style="text-align:left;">
  3842. 1.0434
  3843. </td>
  3844. <td style="text-align:left;">
  3845. 51
  3846. </td>
  3847. </tr>
  3848. <tr>
  3849. <td style="text-align:left;font-weight: bold;">
  3850. </td>
  3851. <td style="text-align:left;">
  3852. </td>
  3853. <td style="text-align:left;">
  3854. b_3
  3855. </td>
  3856. <td style="text-align:left;">
  3857. 0.0414
  3858. </td>
  3859. <td style="text-align:left;">
  3860. 0.6187
  3861. </td>
  3862. <td style="text-align:left;">
  3863. 51
  3864. </td>
  3865. </tr>
  3866. <tr>
  3867. <td style="text-align:left;font-weight: bold;">
  3868. </td>
  3869. <td style="text-align:left;">
  3870. </td>
  3871. <td style="text-align:left;">
  3872. b_4
  3873. </td>
  3874. <td style="text-align:left;">
  3875. -0.0716
  3876. </td>
  3877. <td style="text-align:left;">
  3878. 0.5705
  3879. </td>
  3880. <td style="text-align:left;">
  3881. 51
  3882. </td>
  3883. </tr>
  3884. <tr>
  3885. <td style="text-align:left;font-weight: bold;">
  3886. younger
  3887. </td>
  3888. <td style="text-align:left;">
  3889. rw
  3890. </td>
  3891. <td style="text-align:left;">
  3892. b_0
  3893. </td>
  3894. <td style="text-align:left;">
  3895. 0.0392
  3896. </td>
  3897. <td style="text-align:left;">
  3898. 0.2621
  3899. </td>
  3900. <td style="text-align:left;">
  3901. 51
  3902. </td>
  3903. </tr>
  3904. <tr>
  3905. <td style="text-align:left;font-weight: bold;">
  3906. </td>
  3907. <td style="text-align:left;">
  3908. </td>
  3909. <td style="text-align:left;">
  3910. b_1
  3911. </td>
  3912. <td style="text-align:left;">
  3913. -2.1126
  3914. </td>
  3915. <td style="text-align:left;">
  3916. 1.0893
  3917. </td>
  3918. <td style="text-align:left;">
  3919. 51
  3920. </td>
  3921. </tr>
  3922. <tr>
  3923. <td style="text-align:left;font-weight: bold;">
  3924. </td>
  3925. <td style="text-align:left;">
  3926. </td>
  3927. <td style="text-align:left;">
  3928. b_2
  3929. </td>
  3930. <td style="text-align:left;">
  3931. 2.0994
  3932. </td>
  3933. <td style="text-align:left;">
  3934. 1.1699
  3935. </td>
  3936. <td style="text-align:left;">
  3937. 51
  3938. </td>
  3939. </tr>
  3940. <tr>
  3941. <td style="text-align:left;font-weight: bold;">
  3942. </td>
  3943. <td style="text-align:left;">
  3944. uncertainty
  3945. </td>
  3946. <td style="text-align:left;">
  3947. b_0
  3948. </td>
  3949. <td style="text-align:left;">
  3950. -0.0083
  3951. </td>
  3952. <td style="text-align:left;">
  3953. 0.4569
  3954. </td>
  3955. <td style="text-align:left;">
  3956. 51
  3957. </td>
  3958. </tr>
  3959. <tr>
  3960. <td style="text-align:left;font-weight: bold;">
  3961. </td>
  3962. <td style="text-align:left;">
  3963. </td>
  3964. <td style="text-align:left;">
  3965. b_1
  3966. </td>
  3967. <td style="text-align:left;">
  3968. -2.2229
  3969. </td>
  3970. <td style="text-align:left;">
  3971. 1.2544
  3972. </td>
  3973. <td style="text-align:left;">
  3974. 51
  3975. </td>
  3976. </tr>
  3977. <tr>
  3978. <td style="text-align:left;font-weight: bold;">
  3979. </td>
  3980. <td style="text-align:left;">
  3981. </td>
  3982. <td style="text-align:left;">
  3983. b_2
  3984. </td>
  3985. <td style="text-align:left;">
  3986. 2.1866
  3987. </td>
  3988. <td style="text-align:left;">
  3989. 1.1991
  3990. </td>
  3991. <td style="text-align:left;">
  3992. 51
  3993. </td>
  3994. </tr>
  3995. <tr>
  3996. <td style="text-align:left;font-weight: bold;">
  3997. </td>
  3998. <td style="text-align:left;">
  3999. </td>
  4000. <td style="text-align:left;">
  4001. b_3
  4002. </td>
  4003. <td style="text-align:left;">
  4004. -0.2782
  4005. </td>
  4006. <td style="text-align:left;">
  4007. 0.5686
  4008. </td>
  4009. <td style="text-align:left;">
  4010. 51
  4011. </td>
  4012. </tr>
  4013. <tr>
  4014. <td style="text-align:left;font-weight: bold;">
  4015. </td>
  4016. <td style="text-align:left;">
  4017. </td>
  4018. <td style="text-align:left;">
  4019. b_4
  4020. </td>
  4021. <td style="text-align:left;">
  4022. 0.2645
  4023. </td>
  4024. <td style="text-align:left;">
  4025. 0.4738
  4026. </td>
  4027. <td style="text-align:left;">
  4028. 51
  4029. </td>
  4030. </tr>
  4031. <tr>
  4032. <td style="text-align:left;font-weight: bold;">
  4033. </td>
  4034. <td style="text-align:left;">
  4035. seplr
  4036. </td>
  4037. <td style="text-align:left;">
  4038. b_0
  4039. </td>
  4040. <td style="text-align:left;">
  4041. 0.0384
  4042. </td>
  4043. <td style="text-align:left;">
  4044. 0.2726
  4045. </td>
  4046. <td style="text-align:left;">
  4047. 51
  4048. </td>
  4049. </tr>
  4050. <tr>
  4051. <td style="text-align:left;font-weight: bold;">
  4052. </td>
  4053. <td style="text-align:left;">
  4054. </td>
  4055. <td style="text-align:left;">
  4056. b_1
  4057. </td>
  4058. <td style="text-align:left;">
  4059. -2.1069
  4060. </td>
  4061. <td style="text-align:left;">
  4062. 1.1108
  4063. </td>
  4064. <td style="text-align:left;">
  4065. 51
  4066. </td>
  4067. </tr>
  4068. <tr>
  4069. <td style="text-align:left;font-weight: bold;">
  4070. </td>
  4071. <td style="text-align:left;">
  4072. </td>
  4073. <td style="text-align:left;">
  4074. b_2
  4075. </td>
  4076. <td style="text-align:left;">
  4077. 2.0845
  4078. </td>
  4079. <td style="text-align:left;">
  4080. 1.1350
  4081. </td>
  4082. <td style="text-align:left;">
  4083. 51
  4084. </td>
  4085. </tr>
  4086. <tr>
  4087. <td style="text-align:left;font-weight: bold;">
  4088. </td>
  4089. <td style="text-align:left;">
  4090. uncertainty_seplr
  4091. </td>
  4092. <td style="text-align:left;">
  4093. b_0
  4094. </td>
  4095. <td style="text-align:left;">
  4096. 0.0391
  4097. </td>
  4098. <td style="text-align:left;">
  4099. 0.3149
  4100. </td>
  4101. <td style="text-align:left;">
  4102. 51
  4103. </td>
  4104. </tr>
  4105. <tr>
  4106. <td style="text-align:left;font-weight: bold;">
  4107. </td>
  4108. <td style="text-align:left;">
  4109. </td>
  4110. <td style="text-align:left;">
  4111. b_1
  4112. </td>
  4113. <td style="text-align:left;">
  4114. -2.0486
  4115. </td>
  4116. <td style="text-align:left;">
  4117. 1.0712
  4118. </td>
  4119. <td style="text-align:left;">
  4120. 51
  4121. </td>
  4122. </tr>
  4123. <tr>
  4124. <td style="text-align:left;font-weight: bold;">
  4125. </td>
  4126. <td style="text-align:left;">
  4127. </td>
  4128. <td style="text-align:left;">
  4129. b_2
  4130. </td>
  4131. <td style="text-align:left;">
  4132. 2.0210
  4133. </td>
  4134. <td style="text-align:left;">
  4135. 1.0938
  4136. </td>
  4137. <td style="text-align:left;">
  4138. 51
  4139. </td>
  4140. </tr>
  4141. <tr>
  4142. <td style="text-align:left;font-weight: bold;">
  4143. </td>
  4144. <td style="text-align:left;">
  4145. </td>
  4146. <td style="text-align:left;">
  4147. b_3
  4148. </td>
  4149. <td style="text-align:left;">
  4150. -0.3705
  4151. </td>
  4152. <td style="text-align:left;">
  4153. 0.7688
  4154. </td>
  4155. <td style="text-align:left;">
  4156. 51
  4157. </td>
  4158. </tr>
  4159. <tr>
  4160. <td style="text-align:left;font-weight: bold;">
  4161. </td>
  4162. <td style="text-align:left;">
  4163. </td>
  4164. <td style="text-align:left;">
  4165. b_4
  4166. </td>
  4167. <td style="text-align:left;">
  4168. 0.3941
  4169. </td>
  4170. <td style="text-align:left;">
  4171. 0.7435
  4172. </td>
  4173. <td style="text-align:left;">
  4174. 51
  4175. </td>
  4176. </tr>
  4177. <tr>
  4178. <td style="text-align:left;font-weight: bold;">
  4179. </td>
  4180. <td style="text-align:left;">
  4181. surprise
  4182. </td>
  4183. <td style="text-align:left;">
  4184. b_0
  4185. </td>
  4186. <td style="text-align:left;">
  4187. 0.0447
  4188. </td>
  4189. <td style="text-align:left;">
  4190. 0.2886
  4191. </td>
  4192. <td style="text-align:left;">
  4193. 51
  4194. </td>
  4195. </tr>
  4196. <tr>
  4197. <td style="text-align:left;font-weight: bold;">
  4198. </td>
  4199. <td style="text-align:left;">
  4200. </td>
  4201. <td style="text-align:left;">
  4202. b_1
  4203. </td>
  4204. <td style="text-align:left;">
  4205. -2.1441
  4206. </td>
  4207. <td style="text-align:left;">
  4208. 1.0672
  4209. </td>
  4210. <td style="text-align:left;">
  4211. 51
  4212. </td>
  4213. </tr>
  4214. <tr>
  4215. <td style="text-align:left;font-weight: bold;">
  4216. </td>
  4217. <td style="text-align:left;">
  4218. </td>
  4219. <td style="text-align:left;">
  4220. b_2
  4221. </td>
  4222. <td style="text-align:left;">
  4223. 2.1139
  4224. </td>
  4225. <td style="text-align:left;">
  4226. 1.0779
  4227. </td>
  4228. <td style="text-align:left;">
  4229. 51
  4230. </td>
  4231. </tr>
  4232. <tr>
  4233. <td style="text-align:left;font-weight: bold;">
  4234. </td>
  4235. <td style="text-align:left;">
  4236. uncertainty_surprise
  4237. </td>
  4238. <td style="text-align:left;">
  4239. b_0
  4240. </td>
  4241. <td style="text-align:left;">
  4242. 0.0371
  4243. </td>
  4244. <td style="text-align:left;">
  4245. 0.3076
  4246. </td>
  4247. <td style="text-align:left;">
  4248. 51
  4249. </td>
  4250. </tr>
  4251. <tr>
  4252. <td style="text-align:left;font-weight: bold;">
  4253. </td>
  4254. <td style="text-align:left;">
  4255. </td>
  4256. <td style="text-align:left;">
  4257. b_1
  4258. </td>
  4259. <td style="text-align:left;">
  4260. -2.1674
  4261. </td>
  4262. <td style="text-align:left;">
  4263. 1.0901
  4264. </td>
  4265. <td style="text-align:left;">
  4266. 51
  4267. </td>
  4268. </tr>
  4269. <tr>
  4270. <td style="text-align:left;font-weight: bold;">
  4271. </td>
  4272. <td style="text-align:left;">
  4273. </td>
  4274. <td style="text-align:left;">
  4275. b_2
  4276. </td>
  4277. <td style="text-align:left;">
  4278. 2.1258
  4279. </td>
  4280. <td style="text-align:left;">
  4281. 1.0984
  4282. </td>
  4283. <td style="text-align:left;">
  4284. 51
  4285. </td>
  4286. </tr>
  4287. <tr>
  4288. <td style="text-align:left;font-weight: bold;">
  4289. </td>
  4290. <td style="text-align:left;">
  4291. </td>
  4292. <td style="text-align:left;">
  4293. b_3
  4294. </td>
  4295. <td style="text-align:left;">
  4296. -0.0317
  4297. </td>
  4298. <td style="text-align:left;">
  4299. 0.4563
  4300. </td>
  4301. <td style="text-align:left;">
  4302. 51
  4303. </td>
  4304. </tr>
  4305. <tr>
  4306. <td style="text-align:left;font-weight: bold;">
  4307. </td>
  4308. <td style="text-align:left;">
  4309. </td>
  4310. <td style="text-align:left;">
  4311. b_4
  4312. </td>
  4313. <td style="text-align:left;">
  4314. 0.0462
  4315. </td>
  4316. <td style="text-align:left;">
  4317. 0.4305
  4318. </td>
  4319. <td style="text-align:left;">
  4320. 51
  4321. </td>
  4322. </tr>
  4323. </tbody>
  4324. </table>
  4325. <hr />
  4326. </div>
  4327. </div>
  4328. </div>
  4329. </div>
  4330. <div id="rw-model-rl-like-behavior" class="section level1">
  4331. <h1>RW model: RL-like behavior</h1>
  4332. <pre class="r"><code># Get statistics of beta 1 and 2
  4333. data_rw_beta = data_betas %&gt;%
  4334. .[model == &#39;rw&#39;,] %&gt;%
  4335. data.table::dcast(participant_id + group + model + AICc ~ x, value.var = &#39;value&#39;) %&gt;%
  4336. data.table::merge.data.table(., check_noc, by = c(&#39;participant_id&#39;, &#39;group&#39;))</code></pre>
  4337. <div id="right-bandit-beta_2" class="section level2">
  4338. <h2>right bandit (beta_2)</h2>
  4339. <p>Manuscript ll. 402-403</p>
  4340. <pre class="r"><code># right bandit
  4341. # Younger
  4342. b_right_ya = t.test(data_rw_beta[group == &#39;younger&#39;]$b_2,
  4343. mu = 0)
  4344. # Older
  4345. b_right_oa = t.test(data_rw_beta[group == &#39;older&#39;]$b_2,
  4346. mu = 0)
  4347. b_right_ya</code></pre>
  4348. <pre><code>##
  4349. ## One Sample t-test
  4350. ##
  4351. ## data: data_rw_beta[group == &quot;younger&quot;]$b_2
  4352. ## t = 7.9918, df = 50, p-value = 1.712e-10
  4353. ## alternative hypothesis: true mean is not equal to 0
  4354. ## 95 percent confidence interval:
  4355. ## 0.1207324 0.2017909
  4356. ## sample estimates:
  4357. ## mean of x
  4358. ## 0.1612617</code></pre>
  4359. <pre class="r"><code>b_right_oa</code></pre>
  4360. <pre><code>##
  4361. ## One Sample t-test
  4362. ##
  4363. ## data: data_rw_beta[group == &quot;older&quot;]$b_2
  4364. ## t = 10.4, df = 50, p-value = 4.231e-14
  4365. ## alternative hypothesis: true mean is not equal to 0
  4366. ## 95 percent confidence interval:
  4367. ## 0.1498420 0.2215772
  4368. ## sample estimates:
  4369. ## mean of x
  4370. ## 0.1857096</code></pre>
  4371. </div>
  4372. <div id="left-bandit-beta_1" class="section level2">
  4373. <h2>left bandit (beta_1)</h2>
  4374. <p>Manuscrip l. 404</p>
  4375. <pre class="r"><code># left bandit
  4376. # Younger
  4377. b_left_ya = t.test(data_rw_beta[group == &#39;younger&#39;]$b_1,
  4378. mu = 0)
  4379. # Older
  4380. b_left_oa = t.test(data_rw_beta[group == &#39;older&#39;]$b_1,
  4381. mu = 0)
  4382. b_left_ya</code></pre>
  4383. <pre><code>##
  4384. ## One Sample t-test
  4385. ##
  4386. ## data: data_rw_beta[group == &quot;younger&quot;]$b_1
  4387. ## t = -8.9625, df = 50, p-value = 5.608e-12
  4388. ## alternative hypothesis: true mean is not equal to 0
  4389. ## 95 percent confidence interval:
  4390. ## -0.1984684 -0.1257978
  4391. ## sample estimates:
  4392. ## mean of x
  4393. ## -0.1621331</code></pre>
  4394. <pre class="r"><code>b_left_oa</code></pre>
  4395. <pre><code>##
  4396. ## One Sample t-test
  4397. ##
  4398. ## data: data_rw_beta[group == &quot;older&quot;]$b_1
  4399. ## t = -10.3, df = 50, p-value = 5.891e-14
  4400. ## alternative hypothesis: true mean is not equal to 0
  4401. ## 95 percent confidence interval:
  4402. ## -0.2217489 -0.1493770
  4403. ## sample estimates:
  4404. ## mean of x
  4405. ## -0.1855629</code></pre>
  4406. </div>
  4407. <div id="correlation-of-betas-with-correct-choice-in-low-mid" class="section level2">
  4408. <h2>Correlation of betas with correct choice in low-mid</h2>
  4409. <p>Manuscript ll. 406-407</p>
  4410. <pre class="r"><code># Get correlation of betas with percentage correct (high betas mean less random behavior)
  4411. # Right bandit
  4412. c_b_right = cor.test(data_rw_beta$b_2,
  4413. data_rw_beta$perc_correct_1v2)
  4414. # Left bandit
  4415. c_b_left = cor.test(data_rw_beta$b_1,
  4416. data_rw_beta$perc_correct_1v2)
  4417. # Adjust for multiple testing
  4418. p_adjusted = p.adjust(c(c_b_left$p.value, c_b_right$p.value), method = &#39;holm&#39;)
  4419. c_b_left</code></pre>
  4420. <pre><code>##
  4421. ## Pearson&#39;s product-moment correlation
  4422. ##
  4423. ## data: data_rw_beta$b_1 and data_rw_beta$perc_correct_1v2
  4424. ## t = -2.2644, df = 100, p-value = 0.02571
  4425. ## alternative hypothesis: true correlation is not equal to 0
  4426. ## 95 percent confidence interval:
  4427. ## -0.39822090 -0.02755818
  4428. ## sample estimates:
  4429. ## cor
  4430. ## -0.2208495</code></pre>
  4431. <pre class="r"><code>c_b_right</code></pre>
  4432. <pre><code>##
  4433. ## Pearson&#39;s product-moment correlation
  4434. ##
  4435. ## data: data_rw_beta$b_2 and data_rw_beta$perc_correct_1v2
  4436. ## t = 2.7355, df = 100, p-value = 0.007371
  4437. ## alternative hypothesis: true correlation is not equal to 0
  4438. ## 95 percent confidence interval:
  4439. ## 0.07313005 0.43595722
  4440. ## sample estimates:
  4441. ## cor
  4442. ## 0.2638525</code></pre>
  4443. <pre class="r"><code># Display p_values
  4444. print(paste0(&#39;p-values (corr.): &#39; , p_adjusted))</code></pre>
  4445. <pre><code>## [1] &quot;p-values (corr.): 0.0257076422177068&quot; &quot;p-values (corr.): 0.0147421489155798&quot;</code></pre>
  4446. <hr />
  4447. </div>
  4448. </div>
  4449. <div id="winning-model" class="section level1">
  4450. <h1>Winning model</h1>
  4451. <pre class="r"><code># Get AICc per model
  4452. data_model_comp = data %&gt;%
  4453. .[iter == 1] %&gt;%
  4454. .[, .(AICc = mean(AICc),
  4455. sd_AICc = sd(AICc),
  4456. n_params = sum(variable == &#39;coefs&#39;)),
  4457. by = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;model&#39;)]
  4458. # Summarize AICc across groups
  4459. data_model_comp_all = data_model_comp %&gt;%
  4460. .[, .(AICc = mean(AICc)),
  4461. by = &#39;model&#39;] %&gt;%
  4462. # Sort by lowest AIC
  4463. .[order(rank(AICc))]
  4464. # And within groups
  4465. data_model_comp_age = data_model_comp %&gt;%
  4466. .[, .(AICc = mean(AICc)),
  4467. by = c(&#39;group&#39;, &#39;model&#39;)] %&gt;%
  4468. # Sort by age and lowest AIC
  4469. .[order(group, AICc)]
  4470. # Get winning model within each participant
  4471. data_counts = data_model_comp %&gt;%
  4472. data.table::melt(id.vars = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;model&#39;),
  4473. measure.vars = c(&#39;AICc&#39;)) %&gt;%
  4474. .[, &#39;:=&#39;(lowest = min(value),
  4475. loc_winning = value == min(value),
  4476. # Name of winning model
  4477. winning_model = model[value == min(value)]),
  4478. by = c(&#39;participant_id&#39;, &#39;variable&#39;)] %&gt;%
  4479. # Only keep winning model
  4480. .[loc_winning == TRUE]</code></pre>
  4481. <div id="across-groups-2" class="section level2">
  4482. <h2>Across groups</h2>
  4483. <p>Manuscript ll. 422-425</p>
  4484. <pre class="r"><code># Count winning models across groups
  4485. data_counts_all = data_counts %&gt;%
  4486. .[, .(n_winning = .N),
  4487. by = c(&#39;variable&#39;, &#39;model&#39;)] %&gt;%
  4488. # Sort by winning counts
  4489. .[order(-n_winning),] %&gt;%
  4490. # set factor order by win counts
  4491. .[, model := factor(model, levels = model)]
  4492. # Display table
  4493. table_counts_all = Collapse_repeated_rows(data_counts_all,
  4494. columns = 1,
  4495. replace = &#39;&#39;) %&gt;%
  4496. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  4497. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  4498. column_spec(1,
  4499. bold = TRUE) %&gt;%
  4500. row_spec(row = 0,
  4501. bold = TRUE)
  4502. table_counts_all</code></pre>
  4503. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  4504. <thead>
  4505. <tr>
  4506. <th style="text-align:left;font-weight: bold;">
  4507. variable
  4508. </th>
  4509. <th style="text-align:left;font-weight: bold;">
  4510. model
  4511. </th>
  4512. <th style="text-align:left;font-weight: bold;">
  4513. n_winning
  4514. </th>
  4515. </tr>
  4516. </thead>
  4517. <tbody>
  4518. <tr>
  4519. <td style="text-align:left;font-weight: bold;">
  4520. AICc
  4521. </td>
  4522. <td style="text-align:left;">
  4523. surprise
  4524. </td>
  4525. <td style="text-align:left;">
  4526. 30
  4527. </td>
  4528. </tr>
  4529. <tr>
  4530. <td style="text-align:left;font-weight: bold;">
  4531. </td>
  4532. <td style="text-align:left;">
  4533. rw
  4534. </td>
  4535. <td style="text-align:left;">
  4536. 23
  4537. </td>
  4538. </tr>
  4539. <tr>
  4540. <td style="text-align:left;font-weight: bold;">
  4541. </td>
  4542. <td style="text-align:left;">
  4543. seplr
  4544. </td>
  4545. <td style="text-align:left;">
  4546. 21
  4547. </td>
  4548. </tr>
  4549. <tr>
  4550. <td style="text-align:left;font-weight: bold;">
  4551. </td>
  4552. <td style="text-align:left;">
  4553. uncertainty
  4554. </td>
  4555. <td style="text-align:left;">
  4556. 12
  4557. </td>
  4558. </tr>
  4559. <tr>
  4560. <td style="text-align:left;font-weight: bold;">
  4561. </td>
  4562. <td style="text-align:left;">
  4563. uncertainty_seplr
  4564. </td>
  4565. <td style="text-align:left;">
  4566. 10
  4567. </td>
  4568. </tr>
  4569. <tr>
  4570. <td style="text-align:left;font-weight: bold;">
  4571. </td>
  4572. <td style="text-align:left;">
  4573. uncertainty_surprise
  4574. </td>
  4575. <td style="text-align:left;">
  4576. 6
  4577. </td>
  4578. </tr>
  4579. </tbody>
  4580. </table>
  4581. <pre class="r"><code>data_plot = Prepare_data_for_plot(data_counts_all)
  4582. # Plot
  4583. p = ggplot(data = data_plot,
  4584. aes(x = model,
  4585. y = n_winning,
  4586. fill = model)) +
  4587. geom_col() +
  4588. facet_wrap(~variable, ncol = 2)
  4589. p = Neurocodify_plot(p) +
  4590. theme(legend.position = &#39;none&#39;,
  4591. panel.grid.major.x = element_blank(),
  4592. panel.grid.minor.x = element_blank(),
  4593. axis.text.x = element_text(angle = 45,
  4594. hjust = 1,
  4595. vjust = 1),
  4596. axis.title.x = element_blank())
  4597. p</code></pre>
  4598. <p><img 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" width="672" /></p>
  4599. </div>
  4600. <div id="within-groups-2" class="section level2">
  4601. <h2>Within groups</h2>
  4602. <pre class="r"><code># Count winning models within age-groups
  4603. data_counts_age = data_counts %&gt;%
  4604. .[, .(n_winning = .N),
  4605. by = c(&#39;variable&#39;, &#39;group&#39;, &#39;model&#39;)] %&gt;%
  4606. .[order(group, -n_winning)] %&gt;%
  4607. # set factor order by win counts
  4608. .[, model := factor(model, levels = data_counts_all$model)]
  4609. # Display table
  4610. table_counts_age = Collapse_repeated_rows(data_counts_age,
  4611. columns = c(1,2),
  4612. replace = &#39;&#39;) %&gt;%
  4613. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  4614. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  4615. column_spec(1,
  4616. bold = TRUE) %&gt;%
  4617. row_spec(row = 0,
  4618. bold = TRUE)
  4619. table_counts_age</code></pre>
  4620. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  4621. <thead>
  4622. <tr>
  4623. <th style="text-align:left;font-weight: bold;">
  4624. variable
  4625. </th>
  4626. <th style="text-align:left;font-weight: bold;">
  4627. group
  4628. </th>
  4629. <th style="text-align:left;font-weight: bold;">
  4630. model
  4631. </th>
  4632. <th style="text-align:left;font-weight: bold;">
  4633. n_winning
  4634. </th>
  4635. </tr>
  4636. </thead>
  4637. <tbody>
  4638. <tr>
  4639. <td style="text-align:left;font-weight: bold;">
  4640. AICc
  4641. </td>
  4642. <td style="text-align:left;">
  4643. older
  4644. </td>
  4645. <td style="text-align:left;">
  4646. surprise
  4647. </td>
  4648. <td style="text-align:left;">
  4649. 13
  4650. </td>
  4651. </tr>
  4652. <tr>
  4653. <td style="text-align:left;font-weight: bold;">
  4654. </td>
  4655. <td style="text-align:left;">
  4656. </td>
  4657. <td style="text-align:left;">
  4658. seplr
  4659. </td>
  4660. <td style="text-align:left;">
  4661. 11
  4662. </td>
  4663. </tr>
  4664. <tr>
  4665. <td style="text-align:left;font-weight: bold;">
  4666. </td>
  4667. <td style="text-align:left;">
  4668. </td>
  4669. <td style="text-align:left;">
  4670. rw
  4671. </td>
  4672. <td style="text-align:left;">
  4673. 11
  4674. </td>
  4675. </tr>
  4676. <tr>
  4677. <td style="text-align:left;font-weight: bold;">
  4678. </td>
  4679. <td style="text-align:left;">
  4680. </td>
  4681. <td style="text-align:left;">
  4682. uncertainty
  4683. </td>
  4684. <td style="text-align:left;">
  4685. 7
  4686. </td>
  4687. </tr>
  4688. <tr>
  4689. <td style="text-align:left;font-weight: bold;">
  4690. </td>
  4691. <td style="text-align:left;">
  4692. </td>
  4693. <td style="text-align:left;">
  4694. uncertainty_seplr
  4695. </td>
  4696. <td style="text-align:left;">
  4697. 6
  4698. </td>
  4699. </tr>
  4700. <tr>
  4701. <td style="text-align:left;font-weight: bold;">
  4702. </td>
  4703. <td style="text-align:left;">
  4704. </td>
  4705. <td style="text-align:left;">
  4706. uncertainty_surprise
  4707. </td>
  4708. <td style="text-align:left;">
  4709. 3
  4710. </td>
  4711. </tr>
  4712. <tr>
  4713. <td style="text-align:left;font-weight: bold;">
  4714. </td>
  4715. <td style="text-align:left;">
  4716. younger
  4717. </td>
  4718. <td style="text-align:left;">
  4719. surprise
  4720. </td>
  4721. <td style="text-align:left;">
  4722. 17
  4723. </td>
  4724. </tr>
  4725. <tr>
  4726. <td style="text-align:left;font-weight: bold;">
  4727. </td>
  4728. <td style="text-align:left;">
  4729. </td>
  4730. <td style="text-align:left;">
  4731. rw
  4732. </td>
  4733. <td style="text-align:left;">
  4734. 12
  4735. </td>
  4736. </tr>
  4737. <tr>
  4738. <td style="text-align:left;font-weight: bold;">
  4739. </td>
  4740. <td style="text-align:left;">
  4741. </td>
  4742. <td style="text-align:left;">
  4743. seplr
  4744. </td>
  4745. <td style="text-align:left;">
  4746. 10
  4747. </td>
  4748. </tr>
  4749. <tr>
  4750. <td style="text-align:left;font-weight: bold;">
  4751. </td>
  4752. <td style="text-align:left;">
  4753. </td>
  4754. <td style="text-align:left;">
  4755. uncertainty
  4756. </td>
  4757. <td style="text-align:left;">
  4758. 5
  4759. </td>
  4760. </tr>
  4761. <tr>
  4762. <td style="text-align:left;font-weight: bold;">
  4763. </td>
  4764. <td style="text-align:left;">
  4765. </td>
  4766. <td style="text-align:left;">
  4767. uncertainty_seplr
  4768. </td>
  4769. <td style="text-align:left;">
  4770. 4
  4771. </td>
  4772. </tr>
  4773. <tr>
  4774. <td style="text-align:left;font-weight: bold;">
  4775. </td>
  4776. <td style="text-align:left;">
  4777. </td>
  4778. <td style="text-align:left;">
  4779. uncertainty_surprise
  4780. </td>
  4781. <td style="text-align:left;">
  4782. 3
  4783. </td>
  4784. </tr>
  4785. </tbody>
  4786. </table>
  4787. <pre class="r"><code># Plot
  4788. p = ggplot(data = data_counts_age,
  4789. aes(x = model,
  4790. y = n_winning,
  4791. fill = model)) +
  4792. geom_col() +
  4793. facet_wrap(group~variable, ncol = 2)
  4794. p = Neurocodify_plot(p) +
  4795. theme(legend.position = &#39;none&#39;,
  4796. panel.grid.major.x = element_blank(),
  4797. panel.grid.minor.x = element_blank(),
  4798. axis.text.x = element_text(angle = 45,
  4799. hjust = 1,
  4800. vjust = 1),
  4801. axis.title.x = element_blank())
  4802. p</code></pre>
  4803. <p><img src="data:image/png;base64,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" width="672" /></p>
  4804. <hr />
  4805. </div>
  4806. </div>
  4807. <div id="protected-exceedance-probability" class="section level1">
  4808. <h1>Protected exceedance probability</h1>
  4809. <p>Manuscript ll. 412-416</p>
  4810. <pre class="r"><code># Set seed for sampling (for reproducibility)
  4811. set.seed(666)
  4812. # Exceedance probs
  4813. data_ep = data_model_comp %&gt;%
  4814. # Set order of models after winning models
  4815. .[, model := factor(model, levels = data_counts_all$model)] %&gt;%
  4816. .[, &#39;:=&#39;(nAICc = -(AICc))] %&gt;%
  4817. data.table::dcast(participant_id + group ~ model, value.var = &#39;nAICc&#39;)
  4818. ep = bmsR::VB_bms(as.matrix(data_ep[, .SD, .SDcols = levels(data_counts_all$model)]),
  4819. n_samples = 100000)
  4820. data_pxp = data.table::data.table(&#39;model&#39; = levels(data_counts_all$model),
  4821. &#39;pxp&#39; = ep$pxp) %&gt;%
  4822. .[, model := factor(model, levels = model)]
  4823. # Re-initialize seed
  4824. set.seed(NULL)
  4825. # display pxp
  4826. data_pxp</code></pre>
  4827. <pre class="r"><code># Plot
  4828. p = ggplot(data = data_pxp,
  4829. aes(x = model,
  4830. y = pxp,
  4831. fill = model)) +
  4832. geom_col() +
  4833. scale_y_continuous(limits = c(0,1))
  4834. p = Neurocodify_plot(p) +
  4835. theme(legend.position = &#39;none&#39;,
  4836. panel.grid.major.x = element_blank(),
  4837. panel.grid.minor.x = element_blank(),
  4838. axis.text.x = element_text(angle = 45,
  4839. hjust = 1,
  4840. vjust = 1),
  4841. axis.title.x = element_blank())
  4842. p</code></pre>
  4843. <p><img src="data:image/png;base64,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" width="672" /></p>
  4844. <hr />
  4845. </div>
  4846. <div id="average-aicc-across-models" class="section level1">
  4847. <h1>Average AICc across models</h1>
  4848. <div id="across-age-groups" class="section level2">
  4849. <h2>Across age groups</h2>
  4850. <p>Manuscript ll. 409-412</p>
  4851. <pre class="r"><code># Across all participants
  4852. data_AICc = data_model_comp %&gt;%
  4853. .[, .(mean_AICc = mean(AICc),
  4854. sd_AICc = sd(AICc),
  4855. sem_AICc = sd(AICc)/sqrt(.N)),
  4856. by = c(&#39;model&#39;)]
  4857. # Display table
  4858. table_AICc_all = data_AICc %&gt;%
  4859. .[, c(&#39;mean_AICc&#39;, &#39;sd_AICc&#39;, &#39;sem_AICc&#39;) := lapply(.SD, round, 2),
  4860. .SDcols = c(&#39;mean_AICc&#39;, &#39;sd_AICc&#39;, &#39;sem_AICc&#39;)] %&gt;%
  4861. kableExtra::kbl(&quot;html&quot;, align = &#39;l&#39;) %&gt;%
  4862. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  4863. column_spec(1,
  4864. bold = TRUE) %&gt;%
  4865. row_spec(row = 0,
  4866. bold = TRUE)
  4867. table_AICc_all</code></pre>
  4868. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  4869. <thead>
  4870. <tr>
  4871. <th style="text-align:left;font-weight: bold;">
  4872. model
  4873. </th>
  4874. <th style="text-align:left;font-weight: bold;">
  4875. mean_AICc
  4876. </th>
  4877. <th style="text-align:left;font-weight: bold;">
  4878. sd_AICc
  4879. </th>
  4880. <th style="text-align:left;font-weight: bold;">
  4881. sem_AICc
  4882. </th>
  4883. </tr>
  4884. </thead>
  4885. <tbody>
  4886. <tr>
  4887. <td style="text-align:left;font-weight: bold;">
  4888. rw
  4889. </td>
  4890. <td style="text-align:left;">
  4891. 119.56
  4892. </td>
  4893. <td style="text-align:left;">
  4894. 38.69
  4895. </td>
  4896. <td style="text-align:left;">
  4897. 3.83
  4898. </td>
  4899. </tr>
  4900. <tr>
  4901. <td style="text-align:left;font-weight: bold;">
  4902. uncertainty
  4903. </td>
  4904. <td style="text-align:left;">
  4905. 116.08
  4906. </td>
  4907. <td style="text-align:left;">
  4908. 40.25
  4909. </td>
  4910. <td style="text-align:left;">
  4911. 3.99
  4912. </td>
  4913. </tr>
  4914. <tr>
  4915. <td style="text-align:left;font-weight: bold;">
  4916. seplr
  4917. </td>
  4918. <td style="text-align:left;">
  4919. 115.76
  4920. </td>
  4921. <td style="text-align:left;">
  4922. 39.58
  4923. </td>
  4924. <td style="text-align:left;">
  4925. 3.92
  4926. </td>
  4927. </tr>
  4928. <tr>
  4929. <td style="text-align:left;font-weight: bold;">
  4930. uncertainty_seplr
  4931. </td>
  4932. <td style="text-align:left;">
  4933. 116.11
  4934. </td>
  4935. <td style="text-align:left;">
  4936. 40.52
  4937. </td>
  4938. <td style="text-align:left;">
  4939. 4.01
  4940. </td>
  4941. </tr>
  4942. <tr>
  4943. <td style="text-align:left;font-weight: bold;">
  4944. surprise
  4945. </td>
  4946. <td style="text-align:left;">
  4947. 115.40
  4948. </td>
  4949. <td style="text-align:left;">
  4950. 40.52
  4951. </td>
  4952. <td style="text-align:left;">
  4953. 4.01
  4954. </td>
  4955. </tr>
  4956. <tr>
  4957. <td style="text-align:left;font-weight: bold;">
  4958. uncertainty_surprise
  4959. </td>
  4960. <td style="text-align:left;">
  4961. 116.86
  4962. </td>
  4963. <td style="text-align:left;">
  4964. 40.56
  4965. </td>
  4966. <td style="text-align:left;">
  4967. 4.02
  4968. </td>
  4969. </tr>
  4970. </tbody>
  4971. </table>
  4972. <pre class="r"><code># Plot
  4973. data_plot = data_model_comp
  4974. data_plot_mean = data_AICc
  4975. p1 = ggplot(data = data_plot,
  4976. aes(x = model,
  4977. y = AICc,
  4978. fill = model,
  4979. color = model)) +
  4980. geom_col(data = data_plot_mean,
  4981. inherit.aes = FALSE,
  4982. aes(x = model,
  4983. y = mean_AICc,
  4984. fill = model),
  4985. color = NA) +
  4986. geom_point(position = position_jitter(width = 0.1,
  4987. height = 0),
  4988. size = 0.5,
  4989. alpha = 0.5,
  4990. color = &#39;black&#39;) +
  4991. geom_errorbar(data = data_plot_mean,
  4992. inherit.aes = FALSE,
  4993. aes(x = model,
  4994. ymin = mean_AICc - sem_AICc,
  4995. ymax = mean_AICc + sem_AICc),
  4996. color = &#39;black&#39;,
  4997. width = 0.3)
  4998. p1 = Neurocodify_plot(p1) +
  4999. theme(panel.grid.major.x = element_blank(),
  5000. panel.grid.minor.x = element_blank(),
  5001. legend.position = &#39;none&#39;,
  5002. axis.title.x = element_blank(),
  5003. axis.text.x = element_text(angle = 45,
  5004. hjust = 1,
  5005. vjust = 1))
  5006. # Zoomed in version
  5007. p2 = ggplot(data = data_plot,
  5008. aes(x = model,
  5009. y = AICc,
  5010. fill = model,
  5011. color = model)) +
  5012. geom_errorbar(data = data_plot_mean,
  5013. inherit.aes = FALSE,
  5014. aes(x = model,
  5015. ymin = mean_AICc - sem_AICc,
  5016. ymax = mean_AICc + sem_AICc),
  5017. color = &#39;black&#39;,
  5018. width = 0.3) +
  5019. geom_point(data = data_plot_mean,
  5020. inherit.aes = FALSE,
  5021. aes(x = model,
  5022. y = mean_AICc,
  5023. fill = model),
  5024. color = &#39;black&#39;,
  5025. size = 4,
  5026. shape = 23,
  5027. stroke = 1) +
  5028. scale_y_continuous(limits = c(110,125))
  5029. p2 = Neurocodify_plot(p2) +
  5030. theme(panel.grid.major.x = element_blank(),
  5031. panel.grid.minor.x = element_blank(),
  5032. legend.position = &#39;none&#39;,
  5033. axis.title = element_blank(),
  5034. axis.text.x = element_text(angle = 45,
  5035. hjust = 1,
  5036. vjust = 1))
  5037. p = cowplot::plot_grid(p1, p2,
  5038. ncol = 2,
  5039. nrow = 1,
  5040. axis = &#39;bt&#39;,
  5041. align = &#39;h&#39;,
  5042. rel_widths = c(2,1))
  5043. p</code></pre>
  5044. <p><img src="data:image/png;base64,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" width="672" /></p>
  5045. <hr />
  5046. </div>
  5047. </div>
  5048. <div id="parametric-aicc-comparison" class="section level1">
  5049. <h1>Parametric AICc comparison</h1>
  5050. <p>Manuscript ll. 416-422</p>
  5051. <pre class="r"><code># Relative AICc to RW model
  5052. data_model_comp_rw = data_model_comp %&gt;%
  5053. data.table::dcast(participant_id + group ~ paste0(&#39;AICc_&#39;, model),
  5054. value.var = &#39;AICc&#39;) %&gt;%
  5055. .[, &#39;:=&#39;(SmRW = AICc_surprise - AICc_rw,
  5056. SEPLRmRW = AICc_seplr - AICc_rw,
  5057. UmRW = AICc_uncertainty - AICc_rw,
  5058. USEPLRmRW = AICc_uncertainty_seplr - AICc_rw,
  5059. USmRW = AICc_uncertainty_surprise - AICc_rw),
  5060. by = c(&#39;participant_id&#39;, &#39;group&#39;)] %&gt;%
  5061. data.table::melt(id.vars = c(&#39;participant_id&#39;, &#39;group&#39;),
  5062. measure.vars = c(&#39;UmRW&#39;,
  5063. &#39;SEPLRmRW&#39;,
  5064. &#39;USEPLRmRW&#39;,
  5065. &#39;SmRW&#39;,
  5066. &#39;USmRW&#39;))
  5067. # Groups
  5068. rel_model_comp_group = data_model_comp_rw %&gt;%
  5069. .[, .(t = t.test(value, mu = 0)$statistic,
  5070. df = t.test(value, mu = 0)$parameter,
  5071. p = t.test(value, mu = 0)$p.value),
  5072. by = c(&#39;group&#39;, &#39;variable&#39;)] %&gt;%
  5073. .[, p_adj := p.adjust(p, method = &#39;holm&#39;)] %&gt;%
  5074. .[order(group, variable)] %&gt;%
  5075. Prepare_data_for_plot(.) %&gt;%
  5076. data.table::setcolorder(c(&#39;group&#39;, &#39;variable&#39;))
  5077. # Display table
  5078. table_rel_model_comp = rel_model_comp_group %&gt;%
  5079. .[, t := round(t, 2)] %&gt;%
  5080. .[, c(&#39;p&#39;, &#39;p_adj&#39;) := lapply(.SD, round, 3), .SDcols = c(&#39;p&#39;, &#39;p_adj&#39;)] %&gt;%
  5081. Collapse_repeated_rows(.,
  5082. columns = 1,
  5083. replace = &#39;&#39;) %&gt;%
  5084. kableExtra::kbl(align = &#39;l&#39;, booktabs = TRUE) %&gt;%
  5085. kableExtra::kable_classic(full_width = FALSE) %&gt;%
  5086. kableExtra::column_spec(1,
  5087. bold = TRUE) %&gt;%
  5088. kableExtra::row_spec(row = length(unique(rel_model_comp_group$variable)),
  5089. extra_css = &quot;border-bottom: 2px solid;&quot;) %&gt;%
  5090. kableExtra::row_spec(row = 0,
  5091. bold = TRUE)
  5092. table_rel_model_comp</code></pre>
  5093. <table class=" lightable-classic" style="font-family: &quot;Arial Narrow&quot;, &quot;Source Sans Pro&quot;, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;">
  5094. <thead>
  5095. <tr>
  5096. <th style="text-align:left;font-weight: bold;">
  5097. group
  5098. </th>
  5099. <th style="text-align:left;font-weight: bold;">
  5100. variable
  5101. </th>
  5102. <th style="text-align:left;font-weight: bold;">
  5103. t
  5104. </th>
  5105. <th style="text-align:left;font-weight: bold;">
  5106. df
  5107. </th>
  5108. <th style="text-align:left;font-weight: bold;">
  5109. p
  5110. </th>
  5111. <th style="text-align:left;font-weight: bold;">
  5112. p_adj
  5113. </th>
  5114. </tr>
  5115. </thead>
  5116. <tbody>
  5117. <tr>
  5118. <td style="text-align:left;font-weight: bold;">
  5119. Older adults
  5120. </td>
  5121. <td style="text-align:left;">
  5122. UmRW
  5123. </td>
  5124. <td style="text-align:left;">
  5125. -2.06
  5126. </td>
  5127. <td style="text-align:left;">
  5128. 50
  5129. </td>
  5130. <td style="text-align:left;">
  5131. 0.044
  5132. </td>
  5133. <td style="text-align:left;">
  5134. 0.254
  5135. </td>
  5136. </tr>
  5137. <tr>
  5138. <td style="text-align:left;font-weight: bold;">
  5139. </td>
  5140. <td style="text-align:left;">
  5141. SEPLRmRW
  5142. </td>
  5143. <td style="text-align:left;">
  5144. -3.10
  5145. </td>
  5146. <td style="text-align:left;">
  5147. 50
  5148. </td>
  5149. <td style="text-align:left;">
  5150. 0.003
  5151. </td>
  5152. <td style="text-align:left;">
  5153. 0.022
  5154. </td>
  5155. </tr>
  5156. <tr>
  5157. <td style="text-align:left;font-weight: bold;">
  5158. </td>
  5159. <td style="text-align:left;">
  5160. USEPLRmRW
  5161. </td>
  5162. <td style="text-align:left;">
  5163. -2.00
  5164. </td>
  5165. <td style="text-align:left;">
  5166. 50
  5167. </td>
  5168. <td style="text-align:left;">
  5169. 0.051
  5170. </td>
  5171. <td style="text-align:left;">
  5172. 0.254
  5173. </td>
  5174. </tr>
  5175. <tr>
  5176. <td style="text-align:left;font-weight: bold;">
  5177. </td>
  5178. <td style="text-align:left;">
  5179. SmRW
  5180. </td>
  5181. <td style="text-align:left;">
  5182. -3.39
  5183. </td>
  5184. <td style="text-align:left;">
  5185. 50
  5186. </td>
  5187. <td style="text-align:left;">
  5188. 0.001
  5189. </td>
  5190. <td style="text-align:left;">
  5191. 0.011
  5192. </td>
  5193. </tr>
  5194. <tr>
  5195. <td style="text-align:left;font-weight: bold;border-bottom: 2px solid;">
  5196. </td>
  5197. <td style="text-align:left;border-bottom: 2px solid;">
  5198. USmRW
  5199. </td>
  5200. <td style="text-align:left;border-bottom: 2px solid;">
  5201. -1.76
  5202. </td>
  5203. <td style="text-align:left;border-bottom: 2px solid;">
  5204. 50
  5205. </td>
  5206. <td style="text-align:left;border-bottom: 2px solid;">
  5207. 0.085
  5208. </td>
  5209. <td style="text-align:left;border-bottom: 2px solid;">
  5210. 0.254
  5211. </td>
  5212. </tr>
  5213. <tr>
  5214. <td style="text-align:left;font-weight: bold;">
  5215. Younger adults
  5216. </td>
  5217. <td style="text-align:left;">
  5218. UmRW
  5219. </td>
  5220. <td style="text-align:left;">
  5221. -2.08
  5222. </td>
  5223. <td style="text-align:left;">
  5224. 50
  5225. </td>
  5226. <td style="text-align:left;">
  5227. 0.042
  5228. </td>
  5229. <td style="text-align:left;">
  5230. 0.254
  5231. </td>
  5232. </tr>
  5233. <tr>
  5234. <td style="text-align:left;font-weight: bold;">
  5235. </td>
  5236. <td style="text-align:left;">
  5237. SEPLRmRW
  5238. </td>
  5239. <td style="text-align:left;">
  5240. -3.53
  5241. </td>
  5242. <td style="text-align:left;">
  5243. 50
  5244. </td>
  5245. <td style="text-align:left;">
  5246. 0.001
  5247. </td>
  5248. <td style="text-align:left;">
  5249. 0.009
  5250. </td>
  5251. </tr>
  5252. <tr>
  5253. <td style="text-align:left;font-weight: bold;">
  5254. </td>
  5255. <td style="text-align:left;">
  5256. USEPLRmRW
  5257. </td>
  5258. <td style="text-align:left;">
  5259. -1.95
  5260. </td>
  5261. <td style="text-align:left;">
  5262. 50
  5263. </td>
  5264. <td style="text-align:left;">
  5265. 0.056
  5266. </td>
  5267. <td style="text-align:left;">
  5268. 0.254
  5269. </td>
  5270. </tr>
  5271. <tr>
  5272. <td style="text-align:left;font-weight: bold;">
  5273. </td>
  5274. <td style="text-align:left;">
  5275. SmRW
  5276. </td>
  5277. <td style="text-align:left;">
  5278. -3.44
  5279. </td>
  5280. <td style="text-align:left;">
  5281. 50
  5282. </td>
  5283. <td style="text-align:left;">
  5284. 0.001
  5285. </td>
  5286. <td style="text-align:left;">
  5287. 0.011
  5288. </td>
  5289. </tr>
  5290. <tr>
  5291. <td style="text-align:left;font-weight: bold;">
  5292. </td>
  5293. <td style="text-align:left;">
  5294. USmRW
  5295. </td>
  5296. <td style="text-align:left;">
  5297. -1.21
  5298. </td>
  5299. <td style="text-align:left;">
  5300. 50
  5301. </td>
  5302. <td style="text-align:left;">
  5303. 0.230
  5304. </td>
  5305. <td style="text-align:left;">
  5306. 0.254
  5307. </td>
  5308. </tr>
  5309. </tbody>
  5310. </table>
  5311. <pre class="r"><code>data_plot = data_model_comp_rw %&gt;%
  5312. .[, variable := factor(variable,
  5313. levels = c(&#39;UmRW&#39;,
  5314. &#39;SEPLRmRW&#39;,
  5315. &#39;USEPLRmRW&#39;,
  5316. &#39;SmRW&#39;,
  5317. &#39;USmRW&#39;))] %&gt;%
  5318. .[order(variable),]
  5319. data_plot_mean = data_model_comp_rw %&gt;%
  5320. .[, .(value = mean(value),
  5321. sd_value = sd(value),
  5322. n = .N,
  5323. sem_value = sd(value)/sqrt(.N)),
  5324. by = &#39;variable&#39;] %&gt;%
  5325. .[, variable := factor(variable,
  5326. levels = c(&#39;UmRW&#39;,
  5327. &#39;SEPLRmRW&#39;,
  5328. &#39;USEPLRmRW&#39;,
  5329. &#39;SmRW&#39;,
  5330. &#39;USmRW&#39;))] %&gt;%
  5331. .[order(variable),]
  5332. p = ggplot(data = data_model_comp_rw,
  5333. aes(x = variable,
  5334. y = value,
  5335. fill = variable)) +
  5336. geom_point(position = position_jitter(width = 0.1,
  5337. height = 0,
  5338. seed = 666)) +
  5339. geom_col(data = data_plot_mean)
  5340. Neurocodify_plot(p)</code></pre>
  5341. <p><img src="data:image/png;base64,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" width="672" /></p>
  5342. <hr />
  5343. </div>
  5344. <div id="surprise-model" class="section level1">
  5345. <h1>Surprise model</h1>
  5346. <pre class="r"><code># Data for correlation between betas and performance
  5347. data_corr = data %&gt;%
  5348. .[variable == &#39;coefs&#39; &amp; model == &#39;surprise&#39; &amp; iter == 1] %&gt;%
  5349. data.table::dcast(participant_id + group + AIC ~ x, value.var = &#39;value&#39;) %&gt;%
  5350. data.table::merge.data.table(., check_noc, by = c(&#39;participant_id&#39;, &#39;group&#39;))</code></pre>
  5351. <p><strong>Correlation between betas and correct 1v2
  5352. choices</strong></p>
  5353. <p>Manuscript ll. 448-449</p>
  5354. <pre class="r"><code># V1 ~ performance
  5355. m_left = cor.test(data_corr$V1, data_corr$perc_correct_1v2)
  5356. m_left</code></pre>
  5357. <pre><code>##
  5358. ## Pearson&#39;s product-moment correlation
  5359. ##
  5360. ## data: data_corr$V1 and data_corr$perc_correct_1v2
  5361. ## t = -3.8769, df = 100, p-value = 0.0001894
  5362. ## alternative hypothesis: true correlation is not equal to 0
  5363. ## 95 percent confidence interval:
  5364. ## -0.5194337 -0.1796261
  5365. ## sample estimates:
  5366. ## cor
  5367. ## -0.3614737</code></pre>
  5368. <pre class="r"><code># V2 ~ performance
  5369. m_right = cor.test(data_corr$V2, data_corr$perc_correct_1v2)
  5370. m_right</code></pre>
  5371. <pre><code>##
  5372. ## Pearson&#39;s product-moment correlation
  5373. ##
  5374. ## data: data_corr$V2 and data_corr$perc_correct_1v2
  5375. ## t = 3.7369, df = 100, p-value = 0.0003103
  5376. ## alternative hypothesis: true correlation is not equal to 0
  5377. ## 95 percent confidence interval:
  5378. ## 0.1669405 0.5098191
  5379. ## sample estimates:
  5380. ## cor
  5381. ## 0.3500507</code></pre>
  5382. <pre class="r"><code>p.adjust(c(m_left$p.value,
  5383. m_right$p.value),
  5384. method = &#39;holm&#39;)</code></pre>
  5385. <pre><code>## [1] 0.0003787951 0.0003787951</code></pre>
  5386. <p><strong>Parameter details</strong></p>
  5387. <pre class="r"><code># get coefficients of winning model
  5388. data_surprise = data[model == &#39;surprise&#39; &amp; variable == &#39;coefs&#39;]
  5389. data_param_overall = data_surprise %&gt;%
  5390. .[, .(mean = mean(value),
  5391. sd = sd(value),
  5392. iqr = IQR(value)),
  5393. by = c(&#39;x&#39;)] %&gt;%
  5394. .[, group := &#39;all&#39;]
  5395. data_param_group = data_surprise %&gt;%
  5396. .[, .(mean = mean(value),
  5397. sd = sd(value),
  5398. iqr = IQR(value)),
  5399. by = c(&#39;group&#39;, &#39;x&#39;)]
  5400. data_param_summary = rbind(data_param_overall,
  5401. data_param_group) %&gt;%
  5402. Prepare_data_for_plot(.)
  5403. knitr::kable(data_param_summary) %&gt;%
  5404. kableExtra::kable_styling()</code></pre>
  5405. <table class="table" style="margin-left: auto; margin-right: auto;">
  5406. <thead>
  5407. <tr>
  5408. <th style="text-align:left;">
  5409. x
  5410. </th>
  5411. <th style="text-align:right;">
  5412. mean
  5413. </th>
  5414. <th style="text-align:right;">
  5415. sd
  5416. </th>
  5417. <th style="text-align:right;">
  5418. iqr
  5419. </th>
  5420. <th style="text-align:left;">
  5421. group
  5422. </th>
  5423. </tr>
  5424. </thead>
  5425. <tbody>
  5426. <tr>
  5427. <td style="text-align:left;">
  5428. _0 (z)
  5429. </td>
  5430. <td style="text-align:right;">
  5431. 0.0417729
  5432. </td>
  5433. <td style="text-align:right;">
  5434. 0.3148752
  5435. </td>
  5436. <td style="text-align:right;">
  5437. 0.4416084
  5438. </td>
  5439. <td style="text-align:left;">
  5440. NA
  5441. </td>
  5442. </tr>
  5443. <tr>
  5444. <td style="text-align:left;">
  5445. _1 (z)
  5446. </td>
  5447. <td style="text-align:right;">
  5448. -2.3696367
  5449. </td>
  5450. <td style="text-align:right;">
  5451. 1.1169852
  5452. </td>
  5453. <td style="text-align:right;">
  5454. 1.1557533
  5455. </td>
  5456. <td style="text-align:left;">
  5457. NA
  5458. </td>
  5459. </tr>
  5460. <tr>
  5461. <td style="text-align:left;">
  5462. _2 (z)
  5463. </td>
  5464. <td style="text-align:right;">
  5465. 2.3539129
  5466. </td>
  5467. <td style="text-align:right;">
  5468. 1.1160547
  5469. </td>
  5470. <td style="text-align:right;">
  5471. 1.1658546
  5472. </td>
  5473. <td style="text-align:left;">
  5474. NA
  5475. </td>
  5476. </tr>
  5477. <tr>
  5478. <td style="text-align:left;">
  5479. _0
  5480. </td>
  5481. <td style="text-align:right;">
  5482. 0.0405046
  5483. </td>
  5484. <td style="text-align:right;">
  5485. 1.3007773
  5486. </td>
  5487. <td style="text-align:right;">
  5488. 1.5069509
  5489. </td>
  5490. <td style="text-align:left;">
  5491. NA
  5492. </td>
  5493. </tr>
  5494. <tr>
  5495. <td style="text-align:left;">
  5496. _1
  5497. </td>
  5498. <td style="text-align:right;">
  5499. -0.1685653
  5500. </td>
  5501. <td style="text-align:right;">
  5502. 0.1101895
  5503. </td>
  5504. <td style="text-align:right;">
  5505. 0.0780712
  5506. </td>
  5507. <td style="text-align:left;">
  5508. NA
  5509. </td>
  5510. </tr>
  5511. <tr>
  5512. <td style="text-align:left;">
  5513. _2
  5514. </td>
  5515. <td style="text-align:right;">
  5516. 0.1684559
  5517. </td>
  5518. <td style="text-align:right;">
  5519. 0.1149914
  5520. </td>
  5521. <td style="text-align:right;">
  5522. 0.0845381
  5523. </td>
  5524. <td style="text-align:left;">
  5525. NA
  5526. </td>
  5527. </tr>
  5528. <tr>
  5529. <td style="text-align:left;">
  5530. l
  5531. </td>
  5532. <td style="text-align:right;">
  5533. 0.2795741
  5534. </td>
  5535. <td style="text-align:right;">
  5536. 0.3033410
  5537. </td>
  5538. <td style="text-align:right;">
  5539. 0.3513829
  5540. </td>
  5541. <td style="text-align:left;">
  5542. NA
  5543. </td>
  5544. </tr>
  5545. <tr>
  5546. <td style="text-align:left;">
  5547. u
  5548. </td>
  5549. <td style="text-align:right;">
  5550. 0.2311093
  5551. </td>
  5552. <td style="text-align:right;">
  5553. 0.3239355
  5554. </td>
  5555. <td style="text-align:right;">
  5556. 0.3596791
  5557. </td>
  5558. <td style="text-align:left;">
  5559. NA
  5560. </td>
  5561. </tr>
  5562. <tr>
  5563. <td style="text-align:left;">
  5564. s
  5565. </td>
  5566. <td style="text-align:right;">
  5567. 4.2538528
  5568. </td>
  5569. <td style="text-align:right;">
  5570. 1.8984219
  5571. </td>
  5572. <td style="text-align:right;">
  5573. 3.0793226
  5574. </td>
  5575. <td style="text-align:left;">
  5576. NA
  5577. </td>
  5578. </tr>
  5579. <tr>
  5580. <td style="text-align:left;">
  5581. _0 (z)
  5582. </td>
  5583. <td style="text-align:right;">
  5584. 0.0446957
  5585. </td>
  5586. <td style="text-align:right;">
  5587. 0.2886078
  5588. </td>
  5589. <td style="text-align:right;">
  5590. 0.4115993
  5591. </td>
  5592. <td style="text-align:left;">
  5593. Younger adults
  5594. </td>
  5595. </tr>
  5596. <tr>
  5597. <td style="text-align:left;">
  5598. _1 (z)
  5599. </td>
  5600. <td style="text-align:right;">
  5601. -2.1441489
  5602. </td>
  5603. <td style="text-align:right;">
  5604. 1.0672153
  5605. </td>
  5606. <td style="text-align:right;">
  5607. 1.2561677
  5608. </td>
  5609. <td style="text-align:left;">
  5610. Younger adults
  5611. </td>
  5612. </tr>
  5613. <tr>
  5614. <td style="text-align:left;">
  5615. _2 (z)
  5616. </td>
  5617. <td style="text-align:right;">
  5618. 2.1139401
  5619. </td>
  5620. <td style="text-align:right;">
  5621. 1.0778517
  5622. </td>
  5623. <td style="text-align:right;">
  5624. 1.4232898
  5625. </td>
  5626. <td style="text-align:left;">
  5627. Younger adults
  5628. </td>
  5629. </tr>
  5630. <tr>
  5631. <td style="text-align:left;">
  5632. _0
  5633. </td>
  5634. <td style="text-align:right;">
  5635. 0.0900139
  5636. </td>
  5637. <td style="text-align:right;">
  5638. 1.4124596
  5639. </td>
  5640. <td style="text-align:right;">
  5641. 1.7108596
  5642. </td>
  5643. <td style="text-align:left;">
  5644. Younger adults
  5645. </td>
  5646. </tr>
  5647. <tr>
  5648. <td style="text-align:left;">
  5649. _1
  5650. </td>
  5651. <td style="text-align:right;">
  5652. -0.1493141
  5653. </td>
  5654. <td style="text-align:right;">
  5655. 0.1030839
  5656. </td>
  5657. <td style="text-align:right;">
  5658. 0.0864762
  5659. </td>
  5660. <td style="text-align:left;">
  5661. Younger adults
  5662. </td>
  5663. </tr>
  5664. <tr>
  5665. <td style="text-align:left;">
  5666. _2
  5667. </td>
  5668. <td style="text-align:right;">
  5669. 0.1482657
  5670. </td>
  5671. <td style="text-align:right;">
  5672. 0.1148191
  5673. </td>
  5674. <td style="text-align:right;">
  5675. 0.0847542
  5676. </td>
  5677. <td style="text-align:left;">
  5678. Younger adults
  5679. </td>
  5680. </tr>
  5681. <tr>
  5682. <td style="text-align:left;">
  5683. l
  5684. </td>
  5685. <td style="text-align:right;">
  5686. 0.3264490
  5687. </td>
  5688. <td style="text-align:right;">
  5689. 0.3281783
  5690. </td>
  5691. <td style="text-align:right;">
  5692. 0.3751185
  5693. </td>
  5694. <td style="text-align:left;">
  5695. Younger adults
  5696. </td>
  5697. </tr>
  5698. <tr>
  5699. <td style="text-align:left;">
  5700. u
  5701. </td>
  5702. <td style="text-align:right;">
  5703. 0.2281419
  5704. </td>
  5705. <td style="text-align:right;">
  5706. 0.3186238
  5707. </td>
  5708. <td style="text-align:right;">
  5709. 0.3381496
  5710. </td>
  5711. <td style="text-align:left;">
  5712. Younger adults
  5713. </td>
  5714. </tr>
  5715. <tr>
  5716. <td style="text-align:left;">
  5717. s
  5718. </td>
  5719. <td style="text-align:right;">
  5720. 4.4558640
  5721. </td>
  5722. <td style="text-align:right;">
  5723. 1.9088303
  5724. </td>
  5725. <td style="text-align:right;">
  5726. 2.8376242
  5727. </td>
  5728. <td style="text-align:left;">
  5729. Younger adults
  5730. </td>
  5731. </tr>
  5732. <tr>
  5733. <td style="text-align:left;">
  5734. _0 (z)
  5735. </td>
  5736. <td style="text-align:right;">
  5737. 0.0388500
  5738. </td>
  5739. <td style="text-align:right;">
  5740. 0.3419996
  5741. </td>
  5742. <td style="text-align:right;">
  5743. 0.4450956
  5744. </td>
  5745. <td style="text-align:left;">
  5746. Older adults
  5747. </td>
  5748. </tr>
  5749. <tr>
  5750. <td style="text-align:left;">
  5751. _1 (z)
  5752. </td>
  5753. <td style="text-align:right;">
  5754. -2.5951244
  5755. </td>
  5756. <td style="text-align:right;">
  5757. 1.1303066
  5758. </td>
  5759. <td style="text-align:right;">
  5760. 1.1314842
  5761. </td>
  5762. <td style="text-align:left;">
  5763. Older adults
  5764. </td>
  5765. </tr>
  5766. <tr>
  5767. <td style="text-align:left;">
  5768. _2 (z)
  5769. </td>
  5770. <td style="text-align:right;">
  5771. 2.5938858
  5772. </td>
  5773. <td style="text-align:right;">
  5774. 1.1121267
  5775. </td>
  5776. <td style="text-align:right;">
  5777. 1.0379918
  5778. </td>
  5779. <td style="text-align:left;">
  5780. Older adults
  5781. </td>
  5782. </tr>
  5783. <tr>
  5784. <td style="text-align:left;">
  5785. _0
  5786. </td>
  5787. <td style="text-align:right;">
  5788. -0.0090048
  5789. </td>
  5790. <td style="text-align:right;">
  5791. 1.1907314
  5792. </td>
  5793. <td style="text-align:right;">
  5794. 1.2143777
  5795. </td>
  5796. <td style="text-align:left;">
  5797. Older adults
  5798. </td>
  5799. </tr>
  5800. <tr>
  5801. <td style="text-align:left;">
  5802. _1
  5803. </td>
  5804. <td style="text-align:right;">
  5805. -0.1878164
  5806. </td>
  5807. <td style="text-align:right;">
  5808. 0.1146472
  5809. </td>
  5810. <td style="text-align:right;">
  5811. 0.0901147
  5812. </td>
  5813. <td style="text-align:left;">
  5814. Older adults
  5815. </td>
  5816. </tr>
  5817. <tr>
  5818. <td style="text-align:left;">
  5819. _2
  5820. </td>
  5821. <td style="text-align:right;">
  5822. 0.1886462
  5823. </td>
  5824. <td style="text-align:right;">
  5825. 0.1126743
  5826. </td>
  5827. <td style="text-align:right;">
  5828. 0.0892225
  5829. </td>
  5830. <td style="text-align:left;">
  5831. Older adults
  5832. </td>
  5833. </tr>
  5834. <tr>
  5835. <td style="text-align:left;">
  5836. l
  5837. </td>
  5838. <td style="text-align:right;">
  5839. 0.2326992
  5840. </td>
  5841. <td style="text-align:right;">
  5842. 0.2714561
  5843. </td>
  5844. <td style="text-align:right;">
  5845. 0.3062659
  5846. </td>
  5847. <td style="text-align:left;">
  5848. Older adults
  5849. </td>
  5850. </tr>
  5851. <tr>
  5852. <td style="text-align:left;">
  5853. u
  5854. </td>
  5855. <td style="text-align:right;">
  5856. 0.2340767
  5857. </td>
  5858. <td style="text-align:right;">
  5859. 0.3323072
  5860. </td>
  5861. <td style="text-align:right;">
  5862. 0.3528559
  5863. </td>
  5864. <td style="text-align:left;">
  5865. Older adults
  5866. </td>
  5867. </tr>
  5868. <tr>
  5869. <td style="text-align:left;">
  5870. s
  5871. </td>
  5872. <td style="text-align:right;">
  5873. 4.0518416
  5874. </td>
  5875. <td style="text-align:right;">
  5876. 1.8849958
  5877. </td>
  5878. <td style="text-align:right;">
  5879. 3.3020246
  5880. </td>
  5881. <td style="text-align:left;">
  5882. Older adults
  5883. </td>
  5884. </tr>
  5885. </tbody>
  5886. </table>
  5887. <p><strong>Correlation matrix</strong></p>
  5888. <p>see figure 6, panel A (right side)</p>
  5889. <pre class="r"><code># Correlations between parameters
  5890. data_surprise[x == &#39;(Intercept)&#39;]$x = &#39;intercept&#39;
  5891. data_param_corr = data_surprise %&gt;%
  5892. data.table::dcast(participant_id + group + model + AIC + AICc ~ paste0(&#39;param_&#39;, x),
  5893. value.var = &#39;value&#39;)
  5894. # Corr mat
  5895. cor_mat = cor(data_param_corr[, .SD, .SDcols = c(&#39;param_intercept&#39;,
  5896. &#39;param_V1&#39;,
  5897. &#39;param_V2&#39;,
  5898. &#39;param_l&#39;,
  5899. &#39;param_s&#39;,
  5900. &#39;param_u&#39;)])
  5901. cor_mat</code></pre>
  5902. <pre><code>## param_intercept param_V1 param_V2 param_l param_s param_u
  5903. ## param_intercept 1.000000000 0.07786939 -0.28139123 -0.05843892 0.15288427 0.006208864
  5904. ## param_V1 0.077869388 1.00000000 -0.97724338 0.20714204 0.02895335 0.285893494
  5905. ## param_V2 -0.281391226 -0.97724338 1.00000000 -0.18963305 -0.06856264 -0.273771181
  5906. ## param_l -0.058438916 0.20714204 -0.18963305 1.00000000 -0.38809418 -0.338982427
  5907. ## param_s 0.152884270 0.02895335 -0.06856264 -0.38809418 1.00000000 0.389994332
  5908. ## param_u 0.006208864 0.28589349 -0.27377118 -0.33898243 0.38999433 1.000000000</code></pre>
  5909. <p><strong>Individual LR functions</strong></p>
  5910. <p>see figure 6, panel B</p>
  5911. <pre class="r"><code># Get parameter difference
  5912. data_surprise_param = data_param_corr %&gt;%
  5913. .[, param_uml := param_u - param_l] %&gt;%
  5914. .[, param_uml_dicho := param_u &gt; param_l]</code></pre>
  5915. <pre class="r"><code># Get individual LR functions for surprise model
  5916. data_lrs = data[model == &#39;surprise&#39; &amp; variable == &#39;LRs&#39; &amp; !is.na(value)] %&gt;%
  5917. .[, .SD, .SDcols = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;model&#39;, &#39;AICc&#39;, &#39;variable&#39;,
  5918. &#39;x&#39;, &#39;value&#39;)] %&gt;%
  5919. # Fuse encountered LRs with uml
  5920. data.table::merge.data.table(., data_surprise_param,
  5921. by = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;model&#39;, &#39;AICc&#39;))
  5922. p = ggplot(data = data_lrs,
  5923. aes(x = as.numeric(x),
  5924. y = value,
  5925. group = participant_id,
  5926. color = group)) +
  5927. geom_line(alpha = 0.2) +
  5928. labs(x = &#39;|PE|&#39;,
  5929. y = &#39;alpha*&#39;) +
  5930. facet_wrap(param_uml_dicho~group)
  5931. p</code></pre>
  5932. <p><img 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" width="672" /></p>
  5933. <p><strong>Number of participants with increasing LR
  5934. function</strong></p>
  5935. <p>Manuscript ll. 462-463</p>
  5936. <pre class="r"><code># Count participants within rising and faling group
  5937. data_rising = data_surprise_param %&gt;%
  5938. .[, .(n_rising = sum(param_uml_dicho),
  5939. n = .N),
  5940. by = c(&#39;group&#39;)] %&gt;%
  5941. .[, n_falling := n - n_rising] %&gt;%
  5942. .[, .SD, .SDcols = c(&#39;group&#39;, &#39;n_rising&#39;, &#39;n_falling&#39;)] %&gt;%
  5943. data.table::melt(measure.vars = c(&#39;n_rising&#39;, &#39;n_falling&#39;))
  5944. # Display number of participants with rising LR-Functions
  5945. data_rising[variable == &#39;n_rising&#39;,]</code></pre>
  5946. <pre><code>## group variable value
  5947. ## 1: younger n_rising 18
  5948. ## 2: older n_rising 25</code></pre>
  5949. <p><span class="math inline">\chi^2</span>-test of dichotomized <span class="math inline">u-l</span>-values: Rising functions vs. Falling
  5950. functions</p>
  5951. <p>Manuscript ll. 463-465</p>
  5952. <pre class="r"><code># Chi-Sq with rising
  5953. c_sq = chisq.test(cbind(data_rising[group == &#39;younger&#39;]$value,
  5954. data_rising[group == &#39;older&#39;]$value))
  5955. c_sq</code></pre>
  5956. <pre><code>##
  5957. ## Pearson&#39;s Chi-squared test with Yates&#39; continuity correction
  5958. ##
  5959. ## data: cbind(data_rising[group == &quot;younger&quot;]$value, data_rising[group == &quot;older&quot;]$value)
  5960. ## X-squared = 1.4474, df = 1, p-value = 0.2289</code></pre>
  5961. <p><strong>Parametric</strong> <span class="math inline">u-l</span>
  5962. analysis against 0</p>
  5963. <p>Manuscript ll. 457-459</p>
  5964. <pre class="r"><code># t-test vs. 0
  5965. # Younger
  5966. ty = t.test(data_surprise_param[group == &#39;younger&#39;]$param_uml,
  5967. mu = 0)
  5968. ty</code></pre>
  5969. <pre><code>##
  5970. ## One Sample t-test
  5971. ##
  5972. ## data: data_surprise_param[group == &quot;younger&quot;]$param_uml
  5973. ## t = -1.3282, df = 50, p-value = 0.1901
  5974. ## alternative hypothesis: true mean is not equal to 0
  5975. ## 95 percent confidence interval:
  5976. ## -0.24697055 0.05035639
  5977. ## sample estimates:
  5978. ## mean of x
  5979. ## -0.09830708</code></pre>
  5980. <pre class="r"><code># Older
  5981. to = t.test(data_surprise_param[group == &#39;older&#39;]$param_uml,
  5982. mu = 0)
  5983. to</code></pre>
  5984. <pre><code>##
  5985. ## One Sample t-test
  5986. ##
  5987. ## data: data_surprise_param[group == &quot;older&quot;]$param_uml
  5988. ## t = 0.019755, df = 50, p-value = 0.9843
  5989. ## alternative hypothesis: true mean is not equal to 0
  5990. ## 95 percent confidence interval:
  5991. ## -0.1386726 0.1414275
  5992. ## sample estimates:
  5993. ## mean of x
  5994. ## 0.001377464</code></pre>
  5995. <pre class="r"><code>p.adjust(c(ty$p.value, to$p.value),
  5996. method = &#39;holm&#39;)</code></pre>
  5997. <pre><code>## [1] 0.3802830 0.9843173</code></pre>
  5998. <p><strong>Parametric</strong> <span class="math inline">u-l</span>
  5999. analysis between age groups</p>
  6000. <p>Manuscript ll. 464-465</p>
  6001. <pre class="r"><code># t-test between groups
  6002. t.test(data_surprise_param[group == &#39;younger&#39;]$param_uml,
  6003. data_surprise_param[group == &#39;older&#39;]$param_uml)</code></pre>
  6004. <pre><code>##
  6005. ## Welch Two Sample t-test
  6006. ##
  6007. ## data: data_surprise_param[group == &quot;younger&quot;]$param_uml and data_surprise_param[group == &quot;older&quot;]$param_uml
  6008. ## t = -0.98032, df = 99.646, p-value = 0.3293
  6009. ## alternative hypothesis: true difference in means is not equal to 0
  6010. ## 95 percent confidence interval:
  6011. ## -0.3014353 0.1020662
  6012. ## sample estimates:
  6013. ## mean of x mean of y
  6014. ## -0.098307077 0.001377464</code></pre>
  6015. <pre class="r"><code># Continuous comparison
  6016. p = ggplot(data = data_surprise_param,
  6017. aes(x = group,
  6018. y = param_uml,
  6019. fill = group,
  6020. color = group)) +
  6021. geom_hline(yintercept = 0,
  6022. size = 0.5,
  6023. color = &#39;black&#39;) +
  6024. geom_point(position = position_jitter(width = 0.1,
  6025. height = 0,
  6026. seed = 666)) +
  6027. geom_half_violin(data = data_surprise_param[group == &#39;younger&#39;],
  6028. side = &#39;r&#39;,
  6029. position = position_nudge(x=-0.49,
  6030. y = 0),
  6031. width = 0.5,
  6032. alpha = 0.8,
  6033. color = NA) +
  6034. geom_half_violin(data = data_surprise_param[group == &#39;older&#39;],
  6035. side = &#39;l&#39;,
  6036. position = position_nudge(x=0.49,
  6037. y = 0),
  6038. width = 0.5,
  6039. alpha = 0.8,
  6040. color = NA)
  6041. Neurocodify_plot(p)</code></pre>
  6042. <p><img src="data:image/png;base64,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" width="672" /></p>
  6043. <p><strong>Slope parameter</strong> <span class="math inline">s</span>
  6044. between age groups</p>
  6045. <p>Manuscript ll. 465-466</p>
  6046. <pre class="r"><code># Slope parameter
  6047. t.test(data_surprise_param[group == &#39;younger&#39;]$param_s,
  6048. data_surprise_param[group == &#39;older&#39;]$param_s)</code></pre>
  6049. <pre><code>##
  6050. ## Welch Two Sample t-test
  6051. ##
  6052. ## data: data_surprise_param[group == &quot;younger&quot;]$param_s and data_surprise_param[group == &quot;older&quot;]$param_s
  6053. ## t = 1.0755, df = 99.984, p-value = 0.2847
  6054. ## alternative hypothesis: true difference in means is not equal to 0
  6055. ## 95 percent confidence interval:
  6056. ## -0.3412623 1.1493070
  6057. ## sample estimates:
  6058. ## mean of x mean of y
  6059. ## 4.455864 4.051842</code></pre>
  6060. <pre class="r"><code># Continuous comparison
  6061. p = ggplot(data = data_surprise_param,
  6062. aes(x = group,
  6063. y = param_s,
  6064. fill = group,
  6065. color = group)) +
  6066. geom_point(position = position_jitter(width = 0.1,
  6067. height = 0,
  6068. seed = 666)) +
  6069. geom_half_violin(data = data_surprise_param[group == &#39;younger&#39;],
  6070. side = &#39;r&#39;,
  6071. position = position_nudge(x=-0.49,
  6072. y = 0),
  6073. width = 0.5,
  6074. alpha = 0.8,
  6075. color = NA) +
  6076. geom_half_violin(data = data_surprise_param[group == &#39;older&#39;],
  6077. side = &#39;l&#39;,
  6078. position = position_nudge(x=0.49,
  6079. y = 0),
  6080. width = 0.5,
  6081. alpha = 0.8,
  6082. color = NA)
  6083. Neurocodify_plot(p)</code></pre>
  6084. <p><img src="data:image/png;base64,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" width="672" /></p>
  6085. <p><span class="math inline">u-l</span> vs. immediate influence of
  6086. surprising outcomes</p>
  6087. <pre class="r"><code># Load data
  6088. data_behav = Load_data() %&gt;%
  6089. Apply_exclusion_criteria(., choice_based_exclusion = TRUE) %&gt;%
  6090. Add_comp(.) %&gt;%
  6091. .[, run := as.factor(run)]
  6092. # Load windowrized data
  6093. file = file.path(base_path, &#39;derivatives&#39;, &#39;analysis&#39;, &#39;windowrize.tsv&#39;,
  6094. fsep = .Platform$file.sep)
  6095. window_data = data.table::fread(file = file, sep = &#39;\t&#39;, na.strings = &#39;n/a&#39;)
  6096. # Summarize data
  6097. window_data_run = window_data %&gt;%
  6098. # Get mean accuracy across all relative window positions (-2 to +3)
  6099. .[, .(mean_accuracy = mean(correct_choice, na.rm = TRUE),
  6100. n_data = sum(!is.na(correct_choice))),
  6101. by = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;run&#39;, &#39;window_relative&#39;)]
  6102. # Get mean across runs
  6103. window_data_participant = window_data_run %&gt;%
  6104. .[, .(accuracy = mean(mean_accuracy, na.rm = TRUE)),
  6105. by = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;window_relative&#39;)]
  6106. # Get difference after - before (critical behavioral effect)
  6107. data_cbe = window_data_participant %&gt;%
  6108. data.table::dcast(participant_id + group ~ paste0(&#39;rel_&#39;, window_relative), value.var = &#39;accuracy&#39;)
  6109. colnames(data_cbe)[colnames(data_cbe) == &quot;rel_-1&quot;] = &#39;rel_m1&#39;
  6110. colnames(data_cbe)[colnames(data_cbe) == &quot;rel_-2&quot;] = &#39;rel_m2&#39;
  6111. data_cbe = data_cbe %&gt;%
  6112. .[, cbe := rel_1 - rel_m1] %&gt;%
  6113. .[, .SD, .SDcols = c(&#39;participant_id&#39;, &#39;group&#39;, &#39;cbe&#39;)]</code></pre>
  6114. <pre class="r"><code># Correlate effects of rare outcomes with parameters
  6115. data_cbe_fit = data.table::merge.data.table(data_surprise_param,
  6116. data_cbe,
  6117. by = c(&#39;participant_id&#39;, &#39;group&#39;))
  6118. # model over/underweighting (continuous) and group
  6119. m1 = lm(cbe ~ param_uml * group,
  6120. data = data_cbe_fit)
  6121. summary(m1)</code></pre>
  6122. <pre><code>##
  6123. ## Call:
  6124. ## lm(formula = cbe ~ param_uml * group, data = data_cbe_fit)
  6125. ##
  6126. ## Residuals:
  6127. ## Min 1Q Median 3Q Max
  6128. ## -0.62744 -0.10664 0.01814 0.14300 0.43680
  6129. ##
  6130. ## Coefficients:
  6131. ## Estimate Std. Error t value Pr(&gt;|t|)
  6132. ## (Intercept) -0.17638 0.03001 -5.878 5.74e-08 ***
  6133. ## param_uml 0.01071 0.06086 0.176 0.8606
  6134. ## groupyounger 0.10375 0.04281 2.424 0.0172 *
  6135. ## param_uml:groupyounger -0.07604 0.08361 -0.909 0.3653
  6136. ## ---
  6137. ## Signif. codes: 0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
  6138. ##
  6139. ## Residual standard error: 0.2143 on 98 degrees of freedom
  6140. ## Multiple R-squared: 0.07607, Adjusted R-squared: 0.04779
  6141. ## F-statistic: 2.69 on 3 and 98 DF, p-value: 0.05049</code></pre>
  6142. <p>Manuscript ll. 454-456</p>
  6143. <pre class="r"><code># Simple Pearson correlation
  6144. cor(x = data_cbe_fit$param_uml,
  6145. y = data_cbe_fit$cbe,
  6146. method = &#39;pearson&#39;)</code></pre>
  6147. <pre><code>## [1] -0.09307981</code></pre>
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