R package developer (and R-bloggers editor) Tal Galili just published the answers to a question many R users have asked: which are the most popular R packages? He wrote some R code to rank the top 100 packages by number of downloads. Here's the top 10: The source data are the download logs from the RStudio CRAN mirror, whose...

(This article was first published on R-statistics blog » RR-statistics blog, and kindly contributed to R-bloggers) What are the top 100 (most downloaded) R packages in 2013? Thanks to the recent release of RStudio of their “0-cloud” CRAN log files (but without including downloads from the primary CRAN mirror or any of the 88 other CRAN mirrors), we can now answer this question...

We typically start with the data matrix, a rectangular array of rows and columns. If we type its name on the R command line, it will show itself. But the data matrix is hard to read, even when there are not many rows or columns. The heat map is a visual alternative. All you need is the R function...
In a paper, to be soon published in Conservation Biology and entitle Googling trends in conservation biology, we developed a package named GTrendsR that provides an interface for retrieving and displaying the information returned online...

I have been working on a simple R function to take latitude and longitude of points of interest, and text for pop-up labels, and produce an interactive online map. Interactive graphics are incredibly useful in getting people interested in your … Continue reading →![]()
In case you missed them, here are some articles from May of particular interest to R users: Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package. A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the trading desk at Credit Suisse. Also, a quick take on...