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223 lines
7.4 KiB
223 lines
7.4 KiB
/** |
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* jqPlot |
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* Pure JavaScript plotting plugin using jQuery |
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* |
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* Version: 1.0.8 |
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* Revision: 1250 |
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* |
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* Copyright (c) 2009-2013 Chris Leonello |
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* jqPlot is currently available for use in all personal or commercial projects |
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* under both the MIT (http://www.opensource.org/licenses/mit-license.php) and GPL |
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* version 2.0 (http://www.gnu.org/licenses/gpl-2.0.html) licenses. This means that you can |
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* choose the license that best suits your project and use it accordingly. |
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* |
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* Although not required, the author would appreciate an email letting him |
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* know of any substantial use of jqPlot. You can reach the author at: |
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* chris at jqplot dot com or see http://www.jqplot.com/info.php . |
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* |
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* If you are feeling kind and generous, consider supporting the project by |
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* making a donation at: http://www.jqplot.com/donate.php . |
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* |
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* sprintf functions contained in jqplot.sprintf.js by Ash Searle: |
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* |
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* version 2007.04.27 |
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* author Ash Searle |
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* http://hexmen.com/blog/2007/03/printf-sprintf/ |
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* http://hexmen.com/js/sprintf.js |
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* The author (Ash Searle) has placed this code in the public domain: |
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* "This code is unrestricted: you are free to use it however you like." |
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* |
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*/ |
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(function($) { |
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/** |
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* Class: $.jqplot.Trendline |
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* Plugin which will automatically compute and draw trendlines for plotted data. |
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*/ |
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$.jqplot.Trendline = function() { |
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// Group: Properties |
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// prop: show |
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// Wether or not to show the trend line. |
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this.show = $.jqplot.config.enablePlugins; |
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// prop: color |
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// CSS color spec for the trend line. |
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// By default this wil be the same color as the primary line. |
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this.color = '#666666'; |
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// prop: renderer |
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// Renderer to use to draw the trend line. |
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// The data series that is plotted may not be rendered as a line. |
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// Therefore, we use our own line renderer here to draw a trend line. |
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this.renderer = new $.jqplot.LineRenderer(); |
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// prop: rendererOptions |
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// Options to pass to the line renderer. |
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// By default, markers are not shown on trend lines. |
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this.rendererOptions = {marker:{show:false}}; |
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// prop: label |
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// Label for the trend line to use in the legend. |
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this.label = ''; |
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// prop: type |
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// Either 'exponential', 'exp', or 'linear'. |
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this.type = 'linear'; |
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// prop: shadow |
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// true or false, whether or not to show the shadow. |
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this.shadow = true; |
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// prop: markerRenderer |
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// Renderer to use to draw markers on the line. |
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// I think this is wrong. |
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this.markerRenderer = {show:false}; |
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// prop: lineWidth |
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// Width of the trend line. |
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this.lineWidth = 1.5; |
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// prop: shadowAngle |
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// Angle of the shadow on the trend line. |
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this.shadowAngle = 45; |
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// prop: shadowOffset |
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// pixel offset for each stroke of the shadow. |
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this.shadowOffset = 1.0; |
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// prop: shadowAlpha |
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// Alpha transparency of the shadow. |
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this.shadowAlpha = 0.07; |
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// prop: shadowDepth |
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// number of strokes to make of the shadow. |
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this.shadowDepth = 3; |
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this.isTrendline = true; |
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}; |
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$.jqplot.postSeriesInitHooks.push(parseTrendLineOptions); |
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$.jqplot.postDrawSeriesHooks.push(drawTrendline); |
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$.jqplot.addLegendRowHooks.push(addTrendlineLegend); |
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// called witin scope of the legend object |
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// current series passed in |
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// must return null or an object {label:label, color:color} |
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function addTrendlineLegend(series) { |
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var ret = null; |
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if (series.trendline && series.trendline.show) { |
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var lt = series.trendline.label.toString(); |
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if (lt) { |
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ret = {label:lt, color:series.trendline.color}; |
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} |
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} |
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return ret; |
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} |
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// called within scope of a series |
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function parseTrendLineOptions (target, data, seriesDefaults, options, plot) { |
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if (this._type && (this._type === 'line' || this._type == 'bar')) { |
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this.trendline = new $.jqplot.Trendline(); |
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options = options || {}; |
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$.extend(true, this.trendline, {color:this.color}, seriesDefaults.trendline, options.trendline); |
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this.trendline.renderer.init.call(this.trendline, null); |
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} |
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} |
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// called within scope of series object |
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function drawTrendline(sctx, options) { |
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// if we have options, merge trendline options in with precedence |
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options = $.extend(true, {}, this.trendline, options); |
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if (this.trendline && options.show) { |
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var fit; |
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// this.renderer.setGridData.call(this); |
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var data = options.data || this.data; |
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fit = fitData(data, this.trendline.type); |
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var gridData = options.gridData || this.renderer.makeGridData.call(this, fit.data); |
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this.trendline.renderer.draw.call(this.trendline, sctx, gridData, {showLine:true, shadow:this.trendline.shadow}); |
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} |
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} |
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function regression(x, y, typ) { |
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var type = (typ == null) ? 'linear' : typ; |
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var N = x.length; |
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var slope; |
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var intercept; |
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var SX = 0; |
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var SY = 0; |
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var SXX = 0; |
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var SXY = 0; |
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var SYY = 0; |
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var Y = []; |
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var X = []; |
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if (type == 'linear') { |
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X = x; |
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Y = y; |
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} |
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else if (type == 'exp' || type == 'exponential') { |
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for ( var i=0; i<y.length; i++) { |
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// ignore points <= 0, log undefined. |
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if (y[i] <= 0) { |
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N--; |
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} |
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else { |
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X.push(x[i]); |
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Y.push(Math.log(y[i])); |
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} |
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} |
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} |
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for ( var i = 0; i < N; i++) { |
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SX = SX + X[i]; |
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SY = SY + Y[i]; |
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SXY = SXY + X[i]* Y[i]; |
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SXX = SXX + X[i]* X[i]; |
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SYY = SYY + Y[i]* Y[i]; |
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} |
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slope = (N*SXY - SX*SY)/(N*SXX - SX*SX); |
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intercept = (SY - slope*SX)/N; |
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return [slope, intercept]; |
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} |
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function linearRegression(X,Y) { |
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var ret; |
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ret = regression(X,Y,'linear'); |
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return [ret[0],ret[1]]; |
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} |
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function expRegression(X,Y) { |
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var ret; |
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var x = X; |
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var y = Y; |
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ret = regression(x, y,'exp'); |
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var base = Math.exp(ret[0]); |
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var coeff = Math.exp(ret[1]); |
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return [base, coeff]; |
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} |
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function fitData(data, typ) { |
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var type = (typ == null) ? 'linear' : typ; |
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var ret; |
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var res; |
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var x = []; |
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var y = []; |
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var ypred = []; |
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for (i=0; i<data.length; i++){ |
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if (data[i] != null && data[i][0] != null && data[i][1] != null) { |
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x.push(data[i][0]); |
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y.push(data[i][1]); |
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} |
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} |
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if (type == 'linear') { |
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ret = linearRegression(x,y); |
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for ( var i=0; i<x.length; i++){ |
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res = ret[0]*x[i] + ret[1]; |
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ypred.push([x[i], res]); |
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} |
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} |
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else if (type == 'exp' || type == 'exponential') { |
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ret = expRegression(x,y); |
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for ( var i=0; i<x.length; i++){ |
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res = ret[1]*Math.pow(ret[0],x[i]); |
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ypred.push([x[i], res]); |
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} |
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} |
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return {data: ypred, slope: ret[0], intercept: ret[1]}; |
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} |
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})(jQuery); |