# R Resources

**stattler.com - R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I am listing some useful R resources. I start with the following post on (free) R Books from R-bloggers.com.

An R “Meta” Book by Joseph Rickert

http://www.r-bloggers.com/an-r-meta-book/

This page lists some e-books or e-materials for various topics in statistics ranging from basis concepts of statistics to advanced methods such as survival analysis and time series analysis.

On Experimental Design

An R companion to ‘Experimental Design

This companion is by Vikneswaran. Topics include one and two factor experiments, multiple comparison, orthogonality, nested and hierarchical designs, Latin square and related three factor designs.

Creating R Packages

Creating R Packages: A Tutorial by Friedrich Leisch

This is a very basic yet useful introduction on how to create an R package. I highly recommend it for those who is new to writing R package.

**leave a comment**for the author, please follow the link and comment on their blog:

**stattler.com - R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.