(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)
A Beautiful WWW put together a great set of resources for getting started with machine learning in R. First, they recommend the previously mentioned free book, The Elements of Statistical Learning. Then there's a link to a list of dozens of machine learning and statistical learning packages for R. Next, you'll need data. Hundreds of free real datasets are available at the UCI machine learning
To leave a comment for the author, please follow the link and comment on his blog: Getting Genetics Done.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
