Sunday, February 10, 2013

Resources to speed the R learning curve

I recently blogged about the learning curve  in R and posted it on on Hacker News. The response was overwhelming with lots of suggestions on where to go for more resources and further learning. I have complied them for those looking for resources to speed the R learning curve.

https://github.com/hadley/devtools/wiki  A place to learn R like a programming language, focusing on cross-cutting concerns and general concepts

http://www.r-bloggers.com/ An R blogging platform that has done a great job of promoting R and encouraging the community and gives a good sense of the state of R

http://tryr.codeschool.com/ Free R Tutorials from Code School and O'Reilly

http://cbio.ensmp.fr/~thocking/papers/2011-08-16-directlabels-and-regular-expressions-for-useR-2011/2011-useR-named-capture-regexp.pdf Fast, named capture regular expressions in R

http://www.win-vector.com/blog/2009/09/survive-r/ Survival guide

http://www.burns-stat.com/pages/Tutor/R_inferno.pdf  A manual by Patrick Burns for R developers with lots of useful tricks and tips for reducing memory usage, improving performance, and avoiding errors in computational analysis

http://blog.revolutionanalytics.com/ Blog from the staff of Revolution Analytics on using R for big data analysis, predictive modeling, data science and more
 
Morte Tutorials



http://cran.r-project.org/manuals.html Docs 


http://onepager.togaware.com/ Handson Data Science with R
http://stackoverflow.com/questions/tagged/r?sort=votes&p... StackOverflow


Cheat sheeets



R Journal


http://rseek.org/ Rseek search engine
  
http://www.r-chart.com/ For experiences of web application/database developer whose tool kit includes R
 
Books
http://www.amazon.com/gp/product/0387981403 ggplot2: Elegant Graphics for Data Analysis  by Hadley Wickham
http://www.amazon.com/dp/1449316956/ref=cm_sw_su_dp R Graphics Cookbook  by Winston Chang
 
For more books relating to R
http://www.r-project.org/doc/bib/R-books.html

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