R Resources
- R is installed on the machines in the PCs in Reid & Roberts student labs. Just log in and find R in "All Programs" or in a desktop folder.
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In the math sciences department, newton has a current version of R.
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You should also install R on your own computer by downloading it
from CRAN, the Comprehensive
R Archive Network.
- The Rstudio IDE (integrated Development Environment) is a nice
way to run R because it helps keep us
organized. Download it for free here.
- R quick reference guide
Any R user needs to make frequent use of the
help system. When starting, it's hard to know what help pages to
look at because you don't know what tools are available.
The purpose of the quick reference is to show you some of the
more commonly used functions so that you can get help on them
when needed.
- Cookbook for
R and Quick-R
websites are good for basic questions, as well as
the CRAN search
engine.
- Open Intro
Stat Labs are a supplement to
the Open Intro Stat
book. They include a gentle intro to R.
- R starter
kit from UCLA .
- Try R is a free R
minicourse from codeschool.com
- R books:
- Matloff Art of R
Programming No Starch Press 2011
- Phil Spector's Data Manipulation With R for how to read
in data and work with it. Springer 2008
- Faraway, Extending the Linear Model with R: Generalized
Linear, Mixed Effects and Nonparametric Regression. Chapman
Hall/ CRC, 2006
- If you're experienced in Java or C, then R feels quite
different. This
site might help, or the book R in a Nutshell
- To keep informed about the fast-moving R environment, Read
R-News and
check in frequently
with R-bloggers.
- There is no standard convention for naming objects. Everyone
agrees that names should be descriptive, and shorter is better, but
some people use camelCase while others use underscore_separated. A
recent article in R Journal explains some commonly used conventions.
See the
R
style guide from Google. You don't have to use their suggestions,
but do read them and make your coding consistent.
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Big Data
SAS and R
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