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208 lines
6.9 KiB
208 lines
6.9 KiB
/**
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* Copyright (c) 2009 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 and GPL version 2.0 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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* The author would appreciate an email letting him know of any substantial
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* use of jqPlot. You can reach the author at: chris dot leonello at gmail
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* dot com or see http://www.jqplot.com/info.php . This is, of course,
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* not required.
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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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* Thanks for using jqPlot!
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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, wether 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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};
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$.jqplot.postParseSeriesOptionsHooks.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 lt = series.trendline.label.toString();
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var ret = null;
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if (this.renderer.constructor != $.jqplot.PieRenderer && series.trendline.show && lt) {
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ret = {label:lt, color:series.trendline.color};
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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 (seriesDefaults, options) {
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if (this.renderer.constructor != $.jqplot.PieRenderer) {
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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 (options.show && this.renderer.constructor != $.jqplot.PieRenderer) {
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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); |