<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>R on Visual Cinnamon</title><link>https://www.visualcinnamon.com/categories/r/</link><description>Recent content in R on Visual Cinnamon</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 17 Nov 2021 19:14:15 +0100</lastBuildDate><atom:link href="https://www.visualcinnamon.com/categories/r/index.xml" rel="self" type="application/rss+xml"/><item><title>Exploring the art hidden in π</title><link>https://www.visualcinnamon.com/2015/01/exploring-art-hidden-in-pi/</link><pubDate>Sat, 24 Jan 2015 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/2015/01/exploring-art-hidden-in-pi/</guid><description>&lt;p&gt;While browsing online I came across several &lt;a href="http://mkweb.bcgsc.ca/pi/piday2014/dots.mhtml"&gt;examples&lt;/a&gt; of Martin Krzywinski&amp;rsquo;s Pi art works and I was inspired to try and do a small project with the digits myself. I wanted to try and create something that wasn&amp;rsquo;t very informative per se, but hopefully pretty to look at, more like &lt;em&gt;art&lt;/em&gt;.&lt;/p&gt;</description></item><item><title>How to create a hexagonal heatmap in R</title><link>https://www.visualcinnamon.com/2013/11/how-to-create-hexagonal-heatmap-in-r/</link><pubDate>Wed, 13 Nov 2013 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/2013/11/how-to-create-hexagonal-heatmap-in-r/</guid><description>&lt;p&gt;Like I wrote in one of my previous posts on &lt;a href="https://www.visualcinnamon.com/2013/07/on-creation-of-extended-self-organizing/"&gt;the creation of a &amp;ldquo;self organizing map&amp;rdquo; program in R&lt;/a&gt;, I really wanted the results of a SOM visualized in a hexagonal heatmap, so I wrote my own piece of code for it.&lt;/p&gt;</description></item><item><title>On the creation of a “self organizing map” program in R</title><link>https://www.visualcinnamon.com/2013/07/on-creation-of-extended-self-organizing/</link><pubDate>Mon, 22 Jul 2013 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/2013/07/on-creation-of-extended-self-organizing/</guid><description>&lt;p&gt;I&amp;rsquo;ve been using &lt;strong&gt;self organizing maps&lt;/strong&gt; (or SOM) to analyse client data for more than a year now. In the beginning I tried some commercial software, but I did not like the fact that it was too easy to just randomly click some buttons and a map showed up. I wanted to know what was happening under the hood.&lt;/p&gt;</description></item><item><title>Plotting survival analysis results in R with ggplot2</title><link>https://www.visualcinnamon.com/2013/07/plotting-survival-analysis-results-in-r/</link><pubDate>Sun, 14 Jul 2013 00:00:00 +0000</pubDate><guid>https://www.visualcinnamon.com/2013/07/plotting-survival-analysis-results-in-r/</guid><description>&lt;p&gt;Even though R has been my favorite language to program in since a few months, one thing it is not designed to do is make your plots look anywhere near good. With this I mean that those plots are not the stuff I can just save and put into a client presentation.&lt;/p&gt;</description></item></channel></rss>