+<!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>
+ <!--
+ 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>
var y = data[i][series];
if (y == null) continue;
+ if (y.length == 2) {
+ // using fractions
+ y = y[0] / y[1];
+ }
num++;
sum_x += x;
// 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]);
+ 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));