[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 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
	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 toHex(rgb) {
	92	return 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')';
	93	}
	94
	95	function updateChart() {
	96	// Generate a new data set with the regression lines.
	97	var new_labels = [];
	98	var new_colors = [];
	99	var new_opts = {};
	100	for (var i = 0; i < labels.length; i++) {
	101	new_labels.push(labels[i]);
	102	if (i) new_colors.push(orig_colors[i - 1]);
	103	if (coeffs[i]) {
	104	// Darken the series by 50% to generate its regression.
	105	var label = labels[i] + " Regression";
	106	new_labels.push(label);
	107	var c = Dygraph.toRGB_(orig_colors[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	new_colors.push(toHex(c));
	112	new_opts[label] = {
	113	drawPoints: false,
	114	strokeWidth: 1.0
	115	};
	116	}
	117	}
	118
	119	var new_data = [];
	120	for (var i = 0; i < data.length; i++) {
	121	new_data.push([]);
	122	for (var j = 0; j < data[i].length; j++) {
	123	new_data[i].push(data[i][j]);
	124	if (coeffs[j]) {
	125	new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
	126	}
	127	}
	128	}
	129
	130	new_opts.file = new_data;
	131	new_opts.labels = new_labels;
	132	new_opts.colors = new_colors;
	133	g.updateOptions(new_opts);
	134	}
	135
	136	function clearLines() {
	137	for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
	138	updateChart();
	139	}
	140
	141	</script>
	142
	143	<div style="position: absolute; left: 500px; top: 150px;">
	144	<input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
	145	<br/><br/>
	146	<input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
	147	<br/><br/>
	148	<input type=button value="Clear Lines" onClick="clearLines()" />
	149	</div>
	150	</body>
	151	</html>