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

<!DOCTYPE html>
<html>
  <head>
    <link rel="stylesheet" href="../dist/dygraph.css">
    <title>Linear Regression</title>
    <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>
fd6b8dad	4	<link rel="stylesheet" href="../dist/dygraph.css">
34bbe78b	5	<title>Linear Regression</title>
fbd6834a	6	<script type="text/javascript" src="../dist/dygraph.js"></script>
7e5ddc94	7
34bbe78b DV	8	<style type="text/css">
	9	body { max-width: 640 px; }
	10	</style>
	11	</head>
	12	<body>
	13	<h2>Linear Regression Demo</h2>
	14	<p>Click the buttons to generate linear regressions over either data
	15	series. If you zoom in and click the regression button, the regression will
	16	only be run over visible points. Zoom back out to see what the local
	17	regression looks like over the full data.</p>
	18
	19	<div id="demodiv" style="width: 480px; height: 320px;"></div>
	20
	21	<script type="text/javascript">
	22	var data = [];
	23	for (var i = 0; i < 120; i++) {
	24	data.push([i,
	25	i / 5.0 + 10.0 * Math.sin(i / 3.0),
	26	30.0 - i / 5.0 - 10.0 * Math.sin(i / 3.0 + 1.0)]);
	27	}
	28	var labels = ['X', 'Y1', 'Y2'];
	29	var orig_colors = [];
	30
	31	g = new Dygraph(
	32	document.getElementById("demodiv"),
	33	data,
	34	{
	35	labels: labels,
	36	drawPoints: true,
de0445fc	37	strokeWidth: 0.0,
34bbe78b DV	38	drawCallback: function(g, is_initial) {
	39	if (!is_initial) return;
	40	var c = g.getColors();
	41	for (var i = 0; i < c.length; i++) orig_colors.push(c[i]);
	42	}
	43	}
	44	);
	45
	46	// coefficients of regression for each series.
	47	// if coeffs = [ null, [1, 2], null ] then we draw a regression for series 1
	48	// only. The regression line is y = 1 + 2 * x.
	49	var coeffs = [ null, null, null ];
	50	function regression(series) {
	51	// Only run the regression over visible points.
	52	var range = g.xAxisRange();
	53
	54	var sum_xy = 0.0, sum_x = 0.0, sum_y = 0.0, sum_x2 = 0.0, num = 0;
	55	for (var i = 0; i < data.length; i++) {
	56	var x = data[i][0];
	57	if (x < range[0] \|\| x > range[1]) continue;
	58
	59	var y = data[i][series];
	60	if (y == null) continue;
d1dfab80 DV	61	if (y.length == 2) {
	62	// using fractions
	63	y = y[0] / y[1];
	64	}
34bbe78b DV	65
	66	num++;
	67	sum_x += x;
	68	sum_y += y;
	69	sum_xy += x * y;
	70	sum_x2 += x * x;
	71	}
	72
	73	var a = (sum_xy - sum_x * sum_y / num) / (sum_x2 - sum_x * sum_x / num);
	74	var b = (sum_y - a * sum_x) / num;
	75
	76	coeffs[series] = [b, a];
4df1af70	77	if (typeof(console) != 'undefined') {
34bbe78b DV	78	console.log("coeffs(" + series + "): [" + b + ", " + a + "]");
	79	}
	80
	81	updateChart();
	82	}
	83
0a171c09 DV	84	function toHex(rgb) {
	85	return 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')';
	86	}
	87
34bbe78b DV	88	function updateChart() {
	89	// Generate a new data set with the regression lines.
	90	var new_labels = [];
	91	var new_colors = [];
de0445fc	92	var new_opts = {};
34bbe78b DV	93	for (var i = 0; i < labels.length; i++) {
	94	new_labels.push(labels[i]);
	95	if (i) new_colors.push(orig_colors[i - 1]);
	96	if (coeffs[i]) {
	97	// Darken the series by 50% to generate its regression.
227b93cc DV	98	var label = labels[i] + " Regression";
227b93cc DV	99	new_labels.push(label);
0a171c09	100	var c = Dygraph.toRGB_(orig_colors[i - 1]);
34bbe78b DV	101	c.r = Math.floor(255 - 0.5 * (255 - c.r));
	102	c.g = Math.floor(255 - 0.5 * (255 - c.g));
	103	c.b = Math.floor(255 - 0.5 * (255 - c.b));
0a171c09	104	new_colors.push(toHex(c));
227b93cc	105	new_opts[label] = {
de0445fc DV	106	drawPoints: false,
	107	strokeWidth: 1.0
	108	};
34bbe78b DV	109	}
	110	}
	111
	112	var new_data = [];
	113	for (var i = 0; i < data.length; i++) {
	114	new_data.push([]);
	115	for (var j = 0; j < data[i].length; j++) {
	116	new_data[i].push(data[i][j]);
	117	if (coeffs[j]) {
	118	new_data[i].push(coeffs[j][0] + coeffs[j][1] * data[i][0]);
	119	}
	120	}
	121	}
	122
de0445fc DV	123	new_opts.file = new_data;
	124	new_opts.labels = new_labels;
	125	new_opts.colors = new_colors;
	126	g.updateOptions(new_opts);
34bbe78b DV	127	}
	128
	129	function clearLines() {
	130	for (var i = 0; i < coeffs.length; i++) coeffs[i] = null;
	131	updateChart();
	132	}
34bbe78b DV	133
	134	</script>
	135
	136	<div style="position: absolute; left: 500px; top: 150px;">
	137	<input type=button style="color: green;" value="Regression (Y1)" onClick="regression(1)" />
	138	<br/><br/>
	139	<input type=button style="color: blue;" value="Regression (Y2)" onClick="regression(2)" />
	140	<br/><br/>
	141	<input type=button value="Clear Lines" onClick="clearLines()" />
	142	</div>
	143	</body>
	144	</html>