R news & tutorials from the web. R Graph Gallery. The R Journal. Resources for Getting Started with R. R, the open source statistical software environment, is powerful but can be a challenge to approach for beginners.
For me, the best way to learn R, especially on the visualization side of things, is to dive right in. Grab some data and make some charts, or better yet, find a graph you like and try to replicate it. R core functionality and the many available packages let you do a lot without having to know what's going on underneath. Managing a statistical analysis project – guidelines and best practices. In the past two years, a growing community of R users (and statisticians in general) have been participating in two major Question-and-Answer websites: In that time, several long (and fascinating) discussion threads where started, reflecting on tips and best practices for managing a statistical analysis project.
They are: On the last thread in the list, the user chl, has started with trying to compile all the tips and suggestions together. R Programming Language. Quick-R: Home Page.