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November 21, 2013 04:22
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Regression Line with rCharts
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# Regression Plots using rCharts | |
require(ggplot2) | |
require(rCharts) | |
dat = fortify(lm(mpg ~ wt, data = mtcars)) | |
names(dat) = gsub('\\.', '_', names(dat)) | |
p1 <- rPlot(mpg ~ wt, data = dat, type = 'point') | |
p1$layer(y = '_fitted', copy_layer = T, type = 'line', | |
color = list(const = 'red'), | |
tooltip = "function(item){return item._fitted}") | |
p1 |
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<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href="http://netdna.bootstrapcdn.com/bootswatch/2.3.1/cosmo/bootstrap.min.css"> | |
<link rel="stylesheet" href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-responsive.min.css" > | |
<link rel='stylesheet' href="http://getbootstrap.com/2.3.2/assets/js/google-code-prettify/prettify.css"> | |
<link rel='stylesheet' href="http://aozora.github.io/bootplus/assets/css/docs.css"> | |
<script src='http://ramnathv.github.io/rCharts/libraries/widgets/polycharts/js/polychart2.standalone.js' type='text/javascript'></script> | |
<style> | |
.rChart { | |
display: block | |
margin: auto auto; | |
width: 100%; | |
height: 400px; | |
} | |
/* | |
body { | |
margin-top: 60px; | |
} | |
*/ | |
</style> | |
</head> | |
<body> | |
<div class='container'> | |
<div class='row'> | |
<div class='span8'> | |
<div class="bs-docs-example"> | |
<div id='chartfeac499e69a4' class='rChart polycharts'> | |
</div> | |
<br/> | |
<pre><code class='r'># Regression Plots using rCharts | |
require(ggplot2) | |
require(rCharts) | |
dat = fortify(lm(mpg ~ wt, data = mtcars)) | |
names(dat) = gsub('\\.', '_', names(dat)) | |
p1 <- rPlot(mpg ~ wt, data = dat, type = 'point') | |
p1$layer(y = '_fitted', copy_layer = T, type = 'line', | |
color = list(const = 'red'), | |
tooltip = "function(item){return item._fitted}") | |
p1 | |
</code></pre> | |
</div> | |
</div> | |
</div> | |
</div> | |
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"data": { | |
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"tooltip": "function(item){return item._fitted}", | |
"x": "wt", | |
"data": { | |
"mpg": [ 21, 21, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 19.2, 17.8, 16.4, 17.3, 15.2, 10.4, 10.4, 14.7, 32.4, 30.4, 33.9, 21.5, 15.5, 15.2, 13.3, 19.2, 27.3, 26, 30.4, 15.8, 19.7, 15, 21.4 ], | |
"wt": [ 2.62, 2.875, 2.32, 3.215, 3.44, 3.46, 3.57, 3.19, 3.15, 3.44, 3.44, 4.07, 3.73, 3.78, 5.25, 5.424, 5.345, 2.2, 1.615, 1.835, 2.465, 3.52, 3.435, 3.84, 3.845, 1.935, 2.14, 1.513, 3.17, 2.77, 3.57, 2.78 ], | |
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