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

<!DOCTYPE html>
<html>
  <head>
    <meta http-equiv="X-UA-Compatible" content="IE=EmulateIE7; IE=EmulateIE9">
    <title>Linear Regression</title>
    <!--[if IE]>
    <script type="text/javascript" src="../excanvas.js"></script>
    <![endif]-->
    <!--
    For production (minified) code, use:
    <script type="text/javascript" src="dygraph-combined.js"></script>
    -->
    <script type="text/javascript" src="../dygraph-dev.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 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 = new RGBColorParser(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(c.toHex());
            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
	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	var labels = ['X', 'Y1', 'Y2'];
	36	var orig_colors = [];
	37
	38	g = new Dygraph(
	39	document.getElementById("demodiv"),
	40	data,
	41	{
	42	labels: labels,
	43	drawPoints: true,
	44	strokeWidth: 0.0,
	45	drawCallback: function(g, is_initial) {
	46	if (!is_initial) return;
	47	var c = g.getColors();
	48	for (var i = 0; i < c.length; i++) orig_colors.push(c[i]);
	49	}
	50	}
	51	);
	52
	53	// coefficients of regression for each series.
	54	// if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1
	55	// only. The regression line is y = 1 + 2 * x.
	56	var coeffs = [ null, null, null ];
	57	function regression(series) {
	58	// Only run the regression over visible points.
	59	var range = g.xAxisRange();
	60
	61	var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0;
	62	for (var i = 0; i < data.length; i++) {
	63	var x = data[i][0];
	64	if (x < range[0] \|\| x > range[1]) continue;
	65
	66	var y = data[i][series];
	67	if (y == null) continue;
	68	if (y.length == 2) {
	69	// using fractions
	70	y = y[0] / y[1];
	71	}
	72
	73	num++;
	74	sum_x += x;
	75	sum_y += y;
	76	sum_xy += x * y;
	77	sum_x2 += x * x;
	78	}
	79
	80	var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num);
	81	var b = (sum_y - a * sum_x) / num;
	82
	83	coeffs[series] = [b, a];
	84	if (typeof(console) != 'undefined') {
	85	console.log("coeffs(" + series + "): [" + b + ", " + a + "]");
	86	}
	87
	88	updateChart();
	89	}
	90
	91	function updateChart() {
	92	// Generate a new data set with the regression lines.
	93	var new_labels = [];
	94	var new_colors = [];
	95	var new_opts = {};
	96	for (var i = 0; i < labels.length; i++) {
	97	new_labels.push(labels[i]);
	98	if (i) new_colors.push(orig_colors[i - 1]);
	99	if (coeffs[i]) {
	100	// Darken the series by 50% to generate its regression.
	101	var label = labels[i] + " Regression";
	102	new_labels.push(label);
	103	var c = new RGBColorParser(orig_colors[i - 1]);
	104	c.r = Math.floor(255 - 0.5 * (255 - c.r));
	105	c.g = Math.floor(255 - 0.5 * (255 - c.g));
	106	c.b = Math.floor(255 - 0.5 * (255 - c.b));
	107	new_colors.push(c.toHex());
	108	new_opts[label] = {
	109	drawPoints: false,
	110	strokeWidth: 1.0
	111	};
	112	}
	113	}
	114
	115	var new_data = [];
	116	for (var i = 0; i < data.length; i++) {
	117	new_data.push([]);
	118	for (var j = 0; j < data[i].length; j++) {
	119	new_data[i].push(data[i][j]);
	120	if (coeffs[j]) {
	121	new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
	122	}
	123	}
	124	}
	125
	126	new_opts.file = new_data;
	127	new_opts.labels = new_labels;
	128	new_opts.colors = new_colors;
	129	g.updateOptions(new_opts);
	130	}
	131
	132	function clearLines() {
	133	for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
	134	updateChart();
	135	}
	136
	137	</script>
	138
	139	<div style="position: absolute; left: 500px; top: 150px;">
	140	<input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
	141	<br/><br/>
	142	<input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
	143	<br/><br/>
	144	<input type=button value="Clear Lines" onClick="clearLines()" />
	145	</div>
	146	</body>
	147	</html>