R 3.0.1 (codename “Good Sport”) was released last week. As mentioned earlier by David, this version improves serialization performance with big objects, improves reliability for parallel programming and fixes a few minor bugs. Upgrading to R 3.0.1 You can download …Read more » [Read more...]

A few hours ago Peter Dalgaard (of R Core Team) announced the release of R 3.0.0!  Bellow you can read the changes in this release. One of the features worth noticing is the introduction of long vectors to R 3.0.0. As David Smith …Read more » [Read more...]

In preparation for the upcoming release of R 3.0.0, a new release 0.9 of installr is now on CRAN. The package can be installed and loaded using: # installing/loading the package: if(!require(installr)) { install.packages("installr"); require(installr)} #load / install+load installr The …Read more » [Read more...]

The problem: producing a Word (.docx) file of a statistical report created in R, with as little overhead as possible. The solution: combining R+knitr+rmarkdown+pander+pandoc (it is easier than it is spelled). If you get what this post is about, just …Read more » [Read more...]

Upgrading R on Windows is not easy. While the R FAQ offer guidelines, some users may prefer to simply run a command in order to upgrade their R to the latest version. That is what the new {installr} package is …Read more » [Read more...]

The R blogger Rolf Fredheim has recently wrote a great piece called “Reproducible research with R, Knitr, Pandoc and Word“, where he advocates for Pandoc as an essential part of reproducible research workflow in R, in helping to turn documents …Read more » [Read more...]

stargazer is a new R package that creates LaTeX code for well-formatted regression tables, with multiple models side-by-side, as well as for summary statistics tables. Its latest version, released in early January 2013, can also output the content of data …Read more » [Read more...]

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24 R …Read more » [Read more...]

(Guest post by Achim Zeileis) Development of the R package exams for automatic generation of (statistical) exams in R started in 2006 and version 1 was published in JSS by Gr?n and Zeileis (2009). It was based on standalone Sweave exercises, that can be combined …Read more » [Read more...]

(A guest post by John Verzani) A few days back the RStudio blog announced Shiny, a new product for easily creating interactive web applications (http://www.rstudio.com/shiny/). I wanted to compare this new framework to one I’ve worked on, gWidgetsWWW2.rapache – a version of …Read more » [Read more...]

In case you tried loading a package that depends on the {rJava} package (by Simon Urbanek), you might came across the following error: Loading required package: rJava library(rJava) Error : .onLoad failed in loadNamespace() for ‘rJava’, details: call: fun(libname, pkgname) …Read more » [Read more...]

This is a guest post written by Branson Owen, an enthusiastic R and data.table user. Wow, a long time desired feature of data.table finally came true in version 1.8.1! data.table now allowed numeric columns and big number (via bit64) in …Read more » [Read more...]

This post is about speeding up your R code using the JIT (just in time) compilation capabilities offered by the new (well, now a year old) {compiler} package. Specifically, dealing with the practical difference between enableJIT and the cmpfun functions. …Read more » [Read more...]

This is a guest post by Garrett Grolemund (mentored by Hadley Wickham) Lubridate is an R package that makes it easier to work with dates and times. The newest release of lubridate (v 1.1.0) comes with even more tools and …Read more » [Read more...]

This post shows how to print a prettier nested pivot table, created using the {reshape} package (similar to what you would get with Microsoft Excel), so you could print it either in the R terminal or as a LaTeX table. This task is done by bridging between the cast_df ... [Read more...]

[This article was first published on R-statistics blog » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

Merging two data.frame objects in R is very easily done by using the merge function. While being very powerful, the merge function does not (as of yet) offer to return a merged data.frame that preserved the original order of, one of the two merged, data.frame objects. In ... [Read more...]

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R-bloggers.com is now two years young. The site is an (unofficial) online R journal written by bloggers who agreed to contribute their R articles to the site. In this post I wish to celebrate R-bloggers’ second birthmounth by sharing with you: Links to the top 20 posts of 2011 Statistics on “... [Read more...]

The followings introductory post is intended for new users of R.  It deals with R data frames: what they are, and how to create, view, and update them. This is a guest article by Dr. Robert I. Kabacoff, the founder of (one of) the first online R tutorials websites: Quick-R.  ... [Read more...]