There are lots of R documents and over 3000 R packages. Which documents to start with and which R packages to use are questions faced by many people.

If you are new to R, an Introduction to R can be a good reference to start with, which is available at CRAN website. After that, you may want to know more details about R Language and data access, and they are documented respectively by the R Language Definition and R Data Import/Export at CRAN website.

More R Contributed Documents, including non-English ones are available at http://cran.r-project.org/other-docs.html. The R Journal is another source of documents on R techniques and packages.

If you prefer to learn R with examples, two excellent online resources are

– Quick-R, and

– R Tutorial.

If you want to use R for data mining, Data Mining with R – Learning by Case Studies is an excellent book to learn from.

Getting lost in over 3000 R packages? Which R packages to use? CRAN Task Views are a good guidance. They provide collections of packages for different tasks. Some task views related to data mining are:

– CRAN Task View: Machine Learning & Statistical Learning,

– CRAN Task View: Cluster Analysis & Finite Mixture Models,

– CRAN Task View: Time Series Analysis,

– CRAN Task View: Multivariate Statistics, and

– CRAN Task View: Analysis of Spatial Data.

If you want to know which R functions and packages can be used for your data mining applications, R Reference Card for Data Mining will be helpful to you, which is available at RDataMining website <http://www.rdatamining.com>. Another useful document at the website is R and Data Mining: Example and Case Studies, which presents many examples on data mining with R.

Yanchang Zhao

RDataMining: http://www.rdatamining.com

Twitter: http://www.twitter.com/RDataMining

Group on Linkedin: http://group.rdatamining.com

Group on Google: http://group2.rdatamining.com

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## About Yanchang Zhao

I am a data scientist, using R for data mining applications.
My work on R and data mining:
RDataMining.com;
Twitter;
Group on Linkedin; and Group on Google.

Thank you very much for all your work!

What did you use to design your blog? It’s really awesome can you send me an email and let me know?