[dygraphs.git] / tests / linear-regression-addseries.html

<!DOCTYPE html>
<html>
  <head>
    <link rel="stylesheet" href="../css/dygraph.css">
    <title>Linear Regression</title>
    <!--
    For production (minified) code, use:
    <script type="text/javascript" src="dygraph-combined.js"></script>
    -->
    <script type="text/javascript" src="../dist/dygraph.js"></script>

    <style type="text/css">
    body { max-width: 640 px; }
    </style>
  </head>
  <body>
    <h2>Linear Regression Demo</h2>
    <p>Click the buttons to generate linear regressions over either data
    series. If you zoom in and click the regression button, the regression will
    only be run over visible points. Zoom back out to see what the local
    regression looks like over the full data.</p>

    <div id="demodiv" style="width: 480px; height: 320px;"></div>

    <script type="text/javascript">
      var data = [];
      for (var i = 0; i < 120; i++) {
        data.push([i,
                   i / 5.0 + 10.0 * Math.sin(i / 3.0),
                   30.0 - i / 5.0 - 10.0 * Math.sin(i / 3.0 + 1.0)]);
      }
      var labels = ['X', 'Y1', 'Y2'];
      var orig_colors = [];

      g = new Dygraph(
              document.getElementById("demodiv"),
              data,
              {
                labels: labels,
                drawPoints: true,
                strokeWidth: 0.0,
                drawCallback: function(g, is_initial) {
                  if (!is_initial) return;
                  var c = g.getColors();
                  for (var i = 0; i < c.length; i++) orig_colors.push(c[i]);
                }
              }
          );

      // coefficients of regression for each series.
      // if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1
      // only. The regression line is y = 1 + 2 * x.
      var coeffs = [ null, null, null ];
      function regression(series) {
        // Only run the regression over visible points.
        var range = g.xAxisRange();

        var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0;
        for (var i = 0; i < data.length; i++) {
          var x = data[i][0];
          if (x < range[0] || x > range[1]) continue;

          var y = data[i][series];
          if (y == null) continue;
          if (y.length == 2) {
            // using fractions
            y = y[0] / y[1];
          }

          num++;
          sum_x += x;
          sum_y += y;
          sum_xy += x * y;
          sum_x2 += x * x;
        }

        var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num);
        var b = (sum_y - a * sum_x) / num;

        coeffs[series] = [b, a];
        if (typeof(console) != 'undefined') {
          console.log("coeffs(" + series + "): [" + b + ", " + a + "]");
        }

        updateChart();
      }

      function toHex(rgb) {
        return 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')';
      }

      function updateChart() {
        // Generate a new data set with the regression lines.
        var new_labels = [];
        var new_colors = [];
        var new_opts = {};
        for (var i = 0; i < labels.length; i++) {
          new_labels.push(labels[i]);
          if (i) new_colors.push(orig_colors[i - 1]);
          if (coeffs[i]) {
            // Darken the series by 50% to generate its regression.
            var label = labels[i] + " Regression";
            new_labels.push(label);
            var c = Dygraph.toRGB_(orig_colors[i - 1]);
            c.r = Math.floor(255 - 0.5 * (255 - c.r));
            c.g = Math.floor(255 - 0.5 * (255 - c.g));
            c.b = Math.floor(255 - 0.5 * (255 - c.b));
            new_colors.push(toHex(c));
            new_opts[label] = {
              drawPoints: false,
              strokeWidth: 1.0
            };
          }
        }

        var new_data = [];
        for (var i = 0; i < data.length; i++) {
          new_data.push([]);
          for (var j = 0; j < data[i].length; j++) {
            new_data[i].push(data[i][j]);
            if (coeffs[j]) {
              new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
            }
          }
        }

        new_opts.file = new_data;
        new_opts.labels = new_labels;
        new_opts.colors = new_colors;
        g.updateOptions(new_opts);
      }

      function clearLines() {
        for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
        updateChart();
      }
      
    </script>
    
    <div style="position: absolute; left: 500px; top: 150px;">
    <input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
    <br/><br/>
    <input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
    <br/><br/>
    <input type=button value="Clear Lines" onClick="clearLines()" />
    </div>
</body>
</html>
Commit	Line	Data
54425b14	1	<!DOCTYPE html>
34bbe78b DV	2	<html>
34bbe78b DV	3	<head>
93a5bb4c	4	<link rel="stylesheet" href="../css/dygraph.css">
34bbe78b	5	<title>Linear Regression</title>
7e5ddc94 DV	6	<!--
	7	For production (minified) code, use:
	8	<script type="text/javascript" src="dygraph-combined.js"></script>
	9	-->
fbd6834a	10	<script type="text/javascript" src="../dist/dygraph.js"></script>
7e5ddc94	11
34bbe78b DV	12	<style type="text/css">
	13	body { max-width: 640 px; }
	14	</style>
	15	</head>
	16	<body>
	17	<h2>Linear Regression Demo</h2>
	18	<p>Click the buttons to generate linear regressions over either data
	19	series. If you zoom in and click the regression button, the regression will
	20	only be run over visible points. Zoom back out to see what the local
	21	regression looks like over the full data.</p>
	22
	23	<div id="demodiv" style="width: 480px; height: 320px;"></div>
	24
	25	<script type="text/javascript">
	26	var data = [];
	27	for (var i = 0; i < 120; i++) {
	28	data.push([i,
	29	i / 5.0 + 10.0 * Math.sin(i / 3.0),
	30	30.0 - i / 5.0 - 10.0 * Math.sin(i / 3.0 + 1.0)]);
	31	}
	32	var labels = ['X', 'Y1', 'Y2'];
	33	var orig_colors = [];
	34
	35	g = new Dygraph(
	36	document.getElementById("demodiv"),
	37	data,
	38	{
	39	labels: labels,
	40	drawPoints: true,
de0445fc	41	strokeWidth: 0.0,
34bbe78b DV	42	drawCallback: function(g, is_initial) {
	43	if (!is_initial) return;
	44	var c = g.getColors();
	45	for (var i = 0; i < c.length; i++) orig_colors.push(c[i]);
	46	}
	47	}
	48	);
	49
	50	// coefficients of regression for each series.
	51	// if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1
	52	// only. The regression line is y = 1 + 2 * x.
	53	var coeffs = [ null, null, null ];
	54	function regression(series) {
	55	// Only run the regression over visible points.
	56	var range = g.xAxisRange();
	57
	58	var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0;
	59	for (var i = 0; i < data.length; i++) {
	60	var x = data[i][0];
	61	if (x < range[0] \|\| x > range[1]) continue;
	62
	63	var y = data[i][series];
	64	if (y == null) continue;
d1dfab80 DV	65	if (y.length == 2) {
	66	// using fractions
	67	y = y[0] / y[1];
	68	}
34bbe78b DV	69
	70	num++;
	71	sum_x += x;
	72	sum_y += y;
	73	sum_xy += x * y;
	74	sum_x2 += x * x;
	75	}
	76
	77	var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num);
	78	var b = (sum_y - a * sum_x) / num;
	79
	80	coeffs[series] = [b, a];
4df1af70	81	if (typeof(console) != 'undefined') {
34bbe78b DV	82	console.log("coeffs(" + series + "): [" + b + ", " + a + "]");
	83	}
	84
	85	updateChart();
	86	}
	87
0a171c09 DV	88	function toHex(rgb) {
	89	return 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')';
	90	}
	91
34bbe78b DV	92	function updateChart() {
	93	// Generate a new data set with the regression lines.
	94	var new_labels = [];
	95	var new_colors = [];
de0445fc	96	var new_opts = {};
34bbe78b DV	97	for (var i = 0; i < labels.length; i++) {
	98	new_labels.push(labels[i]);
	99	if (i) new_colors.push(orig_colors[i - 1]);
	100	if (coeffs[i]) {
	101	// Darken the series by 50% to generate its regression.
227b93cc DV	102	var label = labels[i] + " Regression";
227b93cc DV	103	new_labels.push(label);
0a171c09	104	var c = Dygraph.toRGB_(orig_colors[i - 1]);
34bbe78b DV	105	c.r = Math.floor(255 - 0.5 * (255 - c.r));
	106	c.g = Math.floor(255 - 0.5 * (255 - c.g));
	107	c.b = Math.floor(255 - 0.5 * (255 - c.b));
0a171c09	108	new_colors.push(toHex(c));
227b93cc	109	new_opts[label] = {
de0445fc DV	110	drawPoints: false,
	111	strokeWidth: 1.0
	112	};
34bbe78b DV	113	}
	114	}
	115
	116	var new_data = [];
	117	for (var i = 0; i < data.length; i++) {
	118	new_data.push([]);
	119	for (var j = 0; j < data[i].length; j++) {
	120	new_data[i].push(data[i][j]);
	121	if (coeffs[j]) {
	122	new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
	123	}
	124	}
	125	}
	126
de0445fc DV	127	new_opts.file = new_data;
	128	new_opts.labels = new_labels;
	129	new_opts.colors = new_colors;
	130	g.updateOptions(new_opts);
34bbe78b DV	131	}
	132
	133	function clearLines() {
	134	for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
	135	updateChart();
	136	}
34bbe78b DV	137
	138	</script>
	139
	140	<div style="position: absolute; left: 500px; top: 150px;">
	141	<input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
	142	<br/><br/>
	143	<input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
	144	<br/><br/>
	145	<input type=button value="Clear Lines" onClick="clearLines()" />
	146	</div>
	147	</body>
	148	</html>