[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]-->
    <script type="text/javascript" src="../strftime/strftime-min.js"></script>
    <script type="text/javascript" src="../rgbcolor/rgbcolor.js"></script>
    <script type="text/javascript" src="../dygraph-canvas.js"></script>
    <script type="text/javascript" src="../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 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 RGBColor(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
54425b14	1	<!DOCTYPE html>
34bbe78b DV	2	<html>
34bbe78b DV	3	<head>
10494b48	4	<meta http-equiv="X-UA-Compatible" content="IE=EmulateIE7; IE=EmulateIE9">
34bbe78b DV	5	<title>Linear Regression</title>
34bbe78b DV	6	<!--[if IE]>
a2b2c3a1	7	<script type="text/javascript" src="../excanvas.js"></script>
34bbe78b 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">
	27	var data = [];
	28	for (var i = 0; i < 120; i++) {
	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)]);
	32	}
	33	var labels = ['X', 'Y1', 'Y2'];
	34	var orig_colors = [];
	35
	36	g = new Dygraph(
	37	document.getElementById("demodiv"),
	38	data,
	39	{
	40	labels: labels,
	41	drawPoints: true,
de0445fc	42	strokeWidth: 0.0,
34bbe78b DV	43	drawCallback: function(g, is_initial) {
	44	if (!is_initial) return;
	45	var c = g.getColors();
	46	for (var i = 0; i < c.length; i++) orig_colors.push(c[i]);
	47	}
	48	}
	49	);
	50
	51	// coefficients of regression for each series.
	52	// if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1
	53	// only. The regression line is y = 1 + 2 * x.
	54	var coeffs = [ null, null, null ];
	55	function regression(series) {
	56	// Only run the regression over visible points.
	57	var range = g.xAxisRange();
	58
	59	var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0;
	60	for (var i = 0; i < data.length; i++) {
	61	var x = data[i][0];
	62	if (x < range[0] \|\| x > range[1]) continue;
	63
	64	var y = data[i][series];
	65	if (y == null) continue;
d1dfab80 DV	66	if (y.length == 2) {
	67	// using fractions
	68	y = y[0] / y[1];
	69	}
34bbe78b DV	70
	71	num++;
	72	sum_x += x;
	73	sum_y += y;
	74	sum_xy += x * y;
	75	sum_x2 += x * x;
	76	}
	77
	78	var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num);
	79	var b = (sum_y - a * sum_x) / num;
	80
	81	coeffs[series] = [b, a];
4df1af70	82	if (typeof(console) != 'undefined') {
34bbe78b DV	83	console.log("coeffs(" + series + "): [" + b + ", " + a + "]");
	84	}
	85
	86	updateChart();
	87	}
	88
	89	function updateChart() {
	90	// Generate a new data set with the regression lines.
	91	var new_labels = [];
	92	var new_colors = [];
de0445fc	93	var new_opts = {};
34bbe78b DV	94	for (var i = 0; i < labels.length; i++) {
	95	new_labels.push(labels[i]);
	96	if (i) new_colors.push(orig_colors[i - 1]);
	97	if (coeffs[i]) {
	98	// Darken the series by 50% to generate its regression.
227b93cc DV	99	var label = labels[i] + " Regression";
227b93cc DV	100	new_labels.push(label);
34bbe78b DV	101	var c = new RGBColor(orig_colors[i - 1]);
	102	c.r = Math.floor(255 - 0.5 * (255 - c.r));
	103	c.g = Math.floor(255 - 0.5 * (255 - c.g));
	104	c.b = Math.floor(255 - 0.5 * (255 - c.b));
	105	new_colors.push(c.toHex());
227b93cc	106	new_opts[label] = {
de0445fc DV	107	drawPoints: false,
	108	strokeWidth: 1.0
	109	};
34bbe78b DV	110	}
	111	}
	112
	113	var new_data = [];
	114	for (var i = 0; i < data.length; i++) {
	115	new_data.push([]);
	116	for (var j = 0; j < data[i].length; j++) {
	117	new_data[i].push(data[i][j]);
	118	if (coeffs[j]) {
	119	new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
	120	}
	121	}
	122	}
	123
de0445fc DV	124	new_opts.file = new_data;
	125	new_opts.labels = new_labels;
	126	new_opts.colors = new_colors;
	127	g.updateOptions(new_opts);
34bbe78b DV	128	}
	129
	130	function clearLines() {
	131	for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
	132	updateChart();
	133	}
34bbe78b DV	134
	135	</script>
	136
	137	<div style="position: absolute; left: 500px; top: 150px;">
	138	<input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
	139	<br/><br/>
	140	<input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
	141	<br/><br/>
	142	<input type=button value="Clear Lines" onClick="clearLines()" />
	143	</div>
	144	</body>
	145	</html>