Which R documents to read, and which R packages to use

[This article was first published on RDataMining, 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.

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.

If you prefer to learn R with examples, two excellent online resources are
Quick-R for SAS/SPSS/Stata Users, and
R Tutorial.

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 , as well as CRAN website.

Regards
Yanchang Zhao
PhD, Data Miner
Email: yanchang (at) rdatamining.com
RDataMining: http://www.rdatamining.com


To leave a comment for the author, please follow the link and comment on their blog: RDataMining.

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.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)