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