<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>alluvial on Brokering Closure</title><link>https://blog.michalbojanowski.com/tags/alluvial/</link><description>Recent content in alluvial on Brokering Closure</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Michał Bojanowski</copyright><lastBuildDate>Thu, 27 Mar 2014 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.michalbojanowski.com/tags/alluvial/index.xml" rel="self" type="application/rss+xml"/><item><title>Alluvial diagrams</title><link>https://blog.michalbojanowski.com/2014/03/27/what-is-alluvial/</link><pubDate>Thu, 27 Mar 2014 00:00:00 +0000</pubDate><guid>https://blog.michalbojanowski.com/2014/03/27/what-is-alluvial/</guid><description>Parallel coordinates plot is one of the tools for visualizing multivariate data. Every observation in a dataset is represented with a polyline that crosses a set of parallel axes corresponding to variables in the dataset. You can create such plots in R using a function parcoord in package MASS. For example, we can create such plot for the built-in dataset mtcars:
library(MASS) library(colorRamps) data(mtcars) k &amp;lt;- blue2red(100) x &amp;lt;- cut( mtcars$mpg, 100) op &amp;lt;- par(mar=c(3, rep(.</description></item></channel></rss>