I’ve had a lifelong fascination with maps, and working with R definitely enables my map...

This is a guest post by Stefan Milton, the author of the magrittr package which introduces the %>% operator to R programming. Preface (by Tal Galili) I was first introduced to the %>% (a.k.a: pipe) operator in R, thanks to Hadley Wickham’s (fascinating) dplyr tutorial (link to the workshop’s material) at useR!2014. After several discussions during the conference (including one very

Float like a butterfly, sting like a bee (Muhammad Ali) The Butterfly Curve was discovered by Temple H. Fay when he was in Southern University, Mississippi, and rapidly gained the attention of students and mathematicians because of its beautiful simmetry. Small dots of this plot are generated according to parametric equations of the Butterfly Curve. Big

by Andrie de Vries In my previous post I wrote about how to identify and visualize package dependencies. Within hours, Duncan Murdoch (member of R-core) identified some discrepancies between my list of dependencies and the visualisation. Since then, I fixed the dispecrancies. In this blog post I attempt to clarify the issues involved in listing package dependencies. In miniCRAN...

(This article is adapted to the latest version of rvest package.) In my previous post, I demonstrated how we can scrape online data using existing packages. In this post, I will take it a bit further: I will scrape more information of CRAN packages since each of them also has a web page like this. More specifically,...

In this post, I will focus on the analysis of available R packages and the behavior of its users. In essence, this involves looking at the data in two different ways (1) relationships among available R packages in CRAN and (2) tracking the behavior of R users through download logs on CRAN mirrors. I will

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