R 3.1.0 (codename “Spring Dance“) was released today! You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.1.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course.
Someone on the R mailing list (link) asked: how can you easily (daily) collect data from many people into a spreadsheet and then analyse it using R. The answer people gave to it where on various ways of using excel. But excel files (at least for now), are not “on the cloud”. Google spreadsheets + google forms + R = Easily collecting and importing data for analysis | R-statistics blog
R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R.
Table of Contents This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning1 S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...).