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Unsupervised learning is covered in Chapter 14 of The Elements of Statistical Learning. Here we learn about several data reduction techniques including principal component analysis (PCA), K-means clustering, nonnegative matrix factorization (NMF) and archetypal analysis (AA). Although on the surface they seem so different, each is a data approximation technique using ... [Read more...]

Unsupervised learning is covered in Chapter 14 of The Elements of Statistical Learning. Here we learn about several data reduction techniques including principal component analysis (PCA), K-means clustering, nonnegative matrix factorization (NMF) ... [Read more...]

As I’ve become more serious about contributing in the open-source community, having quality tests for my packages has been something I’ve spent much more time on than when I was just writing quick-and-dirty code for my own purposes. My most used open-sourced package is RSiteCatalyst, which accesses the ... [Read more...]

As an experienced dplyr user since almost day one, I thought I knew every aspect of it. But when my new colleague, who is learning dplyr from scratch, asked me to explain the peeling of group layers with summarise, I was like, what? Turns out this... [Read more...]

One problem for people seeking to learn patent analytics is a lack of access to patent data from different sources. In this article I introduce the patent datasets developed for the WIPO Open Source Patent Analytics Project as training sets for patent... [Read more...]

As an experienced dplyr user since almost day one, I thought I knew every aspect of it. But when my new colleague, who is learning dplyr from scratch, asked me to explain the peeling of group layers with summarise, I was like, what? Turns out this actually is a thing. ... [Read more...]

This post is in active development! image source This usually is "echo=FALSE"

<span>rm</span><span>(</span><span>list</span> <span>=</span> <span>ls</span><span>())</span>
<span>library</span><span>(</span><span>"printr"</span><span>)</span>
knitr<span>::</span>opts_knit<span>$</span>set<span>(</span>root.dir  <span>=</span> <span>normalizePath</span><span>(</span><span>".."</span><span>))</span>

Considerations Use h2 ## in R files to spin, because h1 is reserved for title post. At the begin of R script write a chunk of R code loading the print package This post have some considerations ... [Read more...]

As I’ve become more serious about contributing in the open-source community, having quality tests for my packages has been something I’ve spent much more time on than when I was just writing quick-and-dirty code for my own purposes. My most used... [Read more...]

The problemI was looking for a way to compile an RMarkdown document and have the filename of the resulting PDF or HTML document contain the name of the input data that it processed. That is, if I compiled the analysis.Rmd file, where in that file it di... [Read more...]

The problemI was looking for a way to compile an RMarkdown document and have the filename of the resulting PDF or HTML document contain the name of the input data that it processed. That is, if I compiled the analysis.Rmd file, where in that file it did some analysis ... [Read more...]

by Joseph Rickert In a recent post on creating JavaScript network graphs directly from R, my colleague and fellow blogger, Andrie de Vries, included a link to a saved graph of CRAN. Here, I will use that same graph (network) to build a simple exponential random graph model using functions ... [Read more...]

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Probabilities of winning with a given rating Backgammon clubs and on-line forums use a modified form of the Elo rating system to keep track of how well individuals have played and draw inferences about their underlying strength. The higher the rating, the stronger the player. Players with higher ratings are ... [Read more...]

The following is a guest post by Jana Blahak and Jan Dix (University of Konstanz), with support from Simon Munzert. We are happy to introduce our freshly created rzeit package. It connects to the Content API at ZEIT Online, a German newspaper website. In short, the package allows you to ... [Read more...]

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As I mentioned recently, the new, greatly extended version of my partools package is now on CRAN. (The current version on CRAN is 1.1.3, whereas at the time of my previous announcement it was only 1.1.1. Note that Unix is NOT required.) It is my contention that for most R users who ... [Read more...]

by Andrie de Vries In a previous post, I used page rank and community structure to create a plot of CRAN. This plot used vibrant colours to allow us to see some of the underlying structure of CRAN. However, much of this structure was still obfuscated by the amount of ... [Read more...]

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Effectively using color means your graphs clearly communicate your data. This post shows how. We summarize and apply visualization research to real-world examples. You can make graphs like these with Plotly’s web app, or APIs for Python, MATLAB, and R. For users who want to securely share graphs and ... [Read more...]