projects / dygraphs.git / blame
| Commit | Line | Data |
|---|---|---|
| 54425b14 | 1 | <!DOCTYPE html> |
| 05a1d116 DV |
2 | <html> |
| 3 | <head> | |
| 10494b48 | 4 | <meta http-equiv="X-UA-Compatible" content="IE=EmulateIE7; IE=EmulateIE9"> |
| 05a1d116 DV |
5 | <title>Linear Regression</title> |
| 6 | <!--[if IE]> | |
| a2b2c3a1 | 7 | <script type="text/javascript" src="../excanvas.js"></script> |
| 05a1d116 DV |
8 | <![endif]--> |
| 9 | <script type="text/javascript" src="../strftime/strftime-min.js"></script> | |
| 10 | <script type="text/javascript" src="../rgbcolor/rgbcolor.js"></script> | |
| 11 | <script type="text/javascript" src="../dygraph-canvas.js"></script> | |
| 12 | <script type="text/javascript" src="../dygraph.js"></script> | |
| 13 | <style type="text/css"> | |
| 14 | body { max-width: 640 px; } | |
| 15 | </style> | |
| 16 | </head> | |
| 17 | <body> | |
| 18 | <h2>Linear Regression Demo</h2> | |
| 19 | <p>Click the buttons to generate linear regressions over either data | |
| 20 | series. If you zoom in and click the regression button, the regression will | |
| 21 | only be run over visible points. Zoom back out to see what the local | |
| 22 | regression looks like over the full data.</p> | |
| 23 | ||
| 24 | <div id="demodiv" style="width: 480px; height: 320px;"></div> | |
| 25 | ||
| 26 | <script type="text/javascript"> | |
| 176c94a4 | 27 | var data = []; |
| 05a1d116 | 28 | for (var i = 0; i < 120; i++) { |
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29 | data.push([i, |
| 30 | i / 5.0 + 10.0 * Math.sin(i / 3.0), | |
| 31 | 30.0 - i / 5.0 - 10.0 * Math.sin(i / 3.0 + 1.0)]); | |
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32 | } |
| 33 | ||
| 34 | g = new Dygraph( | |
| 35 | document.getElementById("demodiv"), | |
| 36 | data, | |
| 37 | { | |
| 176c94a4 | 38 | labels: ['X', 'Y1', 'Y2'], |
| 05a1d116 | 39 | underlayCallback: drawLines, |
| de0445fc | 40 | drawPoints: true, |
| 176c94a4 | 41 | strokeWidth: 0.0 |
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42 | } |
| 43 | ); | |
| 44 | ||
| 45 | // coefficients of regression for each series. | |
| 46 | // if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1 | |
| 47 | // only. The regression line is y = 1 + 2 * x. | |
| 48 | var coeffs = [ null, null, null ]; | |
| 49 | function regression(series) { | |
| 50 | // Only run the regression over visible points. | |
| 51 | var range = g.xAxisRange(); | |
| 52 | ||
| 53 | var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0; | |
| 54 | for (var i = 0; i < g.numRows(); i++) { | |
| 55 | var x = g.getValue(i, 0); | |
| 56 | if (x < range[0] || x > range[1]) continue; | |
| 57 | ||
| 58 | var y = g.getValue(i, series); | |
| 59 | if (y == null) continue; | |
| c5a37449 DV |
60 | if (y.length == 2) { |
| 61 | // using fractions | |
| 62 | y = y[0] / y[1]; | |
| 63 | } | |
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64 | |
| 65 | num++; | |
| 66 | sum_x += x; | |
| 67 | sum_y += y; | |
| 68 | sum_xy += x * y; | |
| 69 | sum_x2 += x * x; | |
| 70 | } | |
| 71 | ||
| 72 | var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num); | |
| 73 | var b = (sum_y - a * sum_x) / num; | |
| 74 | ||
| 75 | coeffs[series] = [b, a]; | |
| 4df1af70 | 76 | if (typeof(console) != 'undefined') { |
| 2a07b0ad DV |
77 | console.log("coeffs(" + series + "): [" + b + ", " + a + "]"); |
| 78 | } | |
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79 | |
| 80 | g.updateOptions({}); // forces a redraw. | |
| 81 | } | |
| 82 | ||
| 83 | function clearLines() { | |
| 84 | for (var i = 0; i < coeffs.length; i++) coeffs[i] = null; | |
| 85 | g.updateOptions({}); | |
| 86 | } | |
| 87 | ||
| 88 | function drawLines(ctx, area, layout) { | |
| 89 | if (typeof(g) == 'undefined') return; // won't be set on the initial draw. | |
| 90 | ||
| 91 | var range = g.xAxisRange(); | |
| 92 | for (var i = 0; i < coeffs.length; i++) { | |
| 93 | if (!coeffs[i]) continue; | |
| 94 | var a = coeffs[i][1]; | |
| 95 | var b = coeffs[i][0]; | |
| 96 | ||
| 97 | var x1 = range[0]; | |
| 98 | var y1 = a * x1 + b; | |
| 99 | var x2 = range[1]; | |
| 100 | var y2 = a * x2 + b; | |
| 101 | ||
| 102 | var p1 = g.toDomCoords(x1, y1); | |
| 103 | var p2 = g.toDomCoords(x2, y2); | |
| 104 | ||
| 34bbe78b DV |
105 | var c = new RGBColor(g.getColors()[i - 1]); |
| 106 | c.r = Math.floor(255 - 0.5 * (255 - c.r)); | |
| 107 | c.g = Math.floor(255 - 0.5 * (255 - c.g)); | |
| 108 | c.b = Math.floor(255 - 0.5 * (255 - c.b)); | |
| 109 | var color = c.toHex(); | |
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110 | ctx.save(); |
| 111 | ctx.strokeStyle = color; | |
| 112 | ctx.lineWidth = 1.0; | |
| 113 | ctx.beginPath(); | |
| 114 | ctx.moveTo(p1[0], p1[1]); | |
| 115 | ctx.lineTo(p2[0], p2[1]); | |
| 116 | ctx.closePath(); | |
| 117 | ctx.stroke(); | |
| 118 | ctx.restore(); | |
| 119 | } | |
| 120 | } | |
| 121 | ||
| 122 | </script> | |
| 123 | ||
| 124 | <div style="position: absolute; left: 500px; top: 150px;"> | |
| 125 | <input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" /> | |
| 126 | <br/><br/> | |
| 127 | <input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" /> | |
| 128 | <br/><br/> | |
| 129 | <input type=button value="Clear Lines" onClick="clearLines()" /> | |
| 130 | </div> | |
| 131 | </body> | |
| 132 | </html> |