Yesterday we released version 0.5 of NIMBLE on our web site, r-nimble.org. (We’ll get it onto CRAN soon, but it has some special needs to work out.) NIMBLE tries to fill a gap in what R programmers and analysts can do with general hierarchical models. Packages like WinBUGS, OpenBUGS, JAGS and Stan provide a language
Reino Bruner April 8, 2016 As a data scientist, I find the vast majority of the useful content I produce just gets stored into a rainy day folder until I have further need for it. I think it would be more beneficial if I brought some of the functions, processes, and knowledge I have developed Continue Reading..
By Ava Yang Background Ever since I started working remotely, some friends suggested “Why not work as usual as you travel across China, instead of staying in Shanghai?” Many cool people have practiced the lifestyle, but most of the time … Continue reading →
This post is the second in a series that make up my entry in Ari Lamstein’s R Election Analysis Contest, Yesterday I introduced the nzelect R package from a user perspective. Today I’m writing about how the build of that package works. This might be of interest to someone planning on doing something...
With the release of RStudio add-in possibilities, a new area of productivity increase and expected new features for R users has arrived. Thanks to the help of Oliver who has written an RStudio add-in on top of taskscheduleR, scheduling and automating a...
This note lists a few of the mistakes that one can make before submitting a package to CRAN. The list is based on my own mistakes when submitting the ggnetwork package to CRAN for the first time (see this other note for comments about the package itself).
Single quotes around package names
While the CRAN Repository...
A new release of the rmarkdown package is now available on CRAN. This release features some long-requested enhancements to the HTML document format, including: The ability to have a floating (i.e. always visible) table of contents. Folding and unfolding for R code (to easily show and hide code for either an entire document or for individual chunks).
Today’s guest post is by R. Duncan McIntosh. Last week Duncan tweeted about using choroplethr to map the 2016 Florida primary election results. I’ve been wanting to analyze election results in R for some time, and asked Duncan to share with my readers how he did his analysis. This is his reply. Election season is providing plenty
Introduction This is the 3rd part of my cricket package yorkr in R. In my 2 earlier posts The making of cricket package yorkr – Part 1. This post analyzed the performance of team in a ODI match. The batting and bowling performances of the team were analyzed. This post also performed analyses of a