Maintained by Robert
School of Management
This is a page devoted to R
resources. I teach derivatives at Kellogg and have written
a text that includes a tutorial on Visual Basic for
Applications. After years of teaching with Excel and VBA, however, I
am switching to R. I will use this page to keep track of resources I
- Here is where you obtain
the standard version of R
- Here is where you obtain
RStudio, which I highly recommend.
- Organizations built around R
Analytics provides a commercial version of R that is free for
academic use. (I have not used it.) R's being open source permits
the existence of multiple versions, some paid, some free.
- Rmetrics is a not-for-profit
focused on using R to teach statistics and finance. They maintain a
number of powerful packages.
- Rconvert, a firm
assisting with conversions to R from SAS, SPSS, etc.
for Beginners Excellent introduction, more a reference than
- R Tutorial
An on-line introduction to R with lots of examples.
of R Graphs. Very cool, built in R and published with Shiny
- One Page R: A Survival Guide to Data Science with R
This is under development but it looks very promising.
- Collection of blogs about
R This site is a content aggregator. Apparently there are a
lot of folks who blog about R!
the *apply functions This exchange on the
excellent Stackoverflow site
helps to clarify the differences between the various apply
- R graphics
tutorial. Starts simple and covers lots of graph types. Well done.
- Miscellaneous University web sites. There are a host of
sites that have course materials and collections
like this page. I'm including a few here that you might want to
- Burns Statistics,
with R resources including The R Inferno, an essay on
pitfalls in R.
- NY Times Graphics
Department blog. They use R for data analysis and preliminary
- Two minute video
tutorials about R.
R and ...
with Excel. This page is maintained by a biostatistician at
Harrell, who has written several R packages, including Hmisc and
rms. The latter is a companion to the book Regression Modeling
to use Excel, when to use R This is worth reading but it's a
little lame. The author recommends becoming a more expert Excel user
and also learning to use R.
clicking, start typing A brief presentation explaining why you
should use R instead of Excel
- Matlab /
R reference, maintained by David Hiebeler. This
is a thorough compendium of things you can accomplish in Matlab and R,
and how to do them in both lanaguages. It seems there are a few things
Matlab can do that R cannot, but not many.
R Blog, by Michael Rutter, for information about installation, packages,
etc. under Ubuntu. Rutter also maintains
ppa. For a relatively complete R installation on Ubuntu, type "sudo apt-get install
r-base* r-recommended r-cran* r-doc*"
for Dummies. The book is about $20 at Amazon and is pretty
good. Here is a review.
Cookbook by Paul Teetor. This is appropriate for beginners and
has lots of examples. It's a typically excellent O'Reilly book.
- R in
a Nutshell by Joseph Adler. The second edition of this book is
out, but I haven't looked at it closely. The first edition was an
excellent general introduction to R. The presentation of
statistical techniques towards the end struck me as shallow, but
this is probably inevitable with a book trying to cover
everything. The "Nutshell" books try to be comprehensive, and R is
huge, so it's tough to be comprehensive.
- The Art of R Programming
by Norman Matloff. This is not a beginner's book, but once you have
used R for a while, this will help you understand why various
commands work the way they do. It's clear and places R in context
with other programming languages. I highly recommend it. There might
be a free
chapter available for download.
Tips and Other Resources
You can send me mail at
Last modified: Tue Nov 4 09:26:40 CST 2014
Google's R Style Guide Google uses R internally, apparently enough
that they find it valuable to maintain a style guide.
Coding Conventions: Draft Interesting document with specific
recommendations for most use cases. It explains when to use capitals
and mixed case, for example.
- Emacs speaks statistics
This is an Emacs mode that lets you run R from within Emacs. You can
use Emacs to write code and run it immediately. Output shows up in
another buffer. There are more than a few simple commands --- this is
an environment for editing and running R, SAS, Stata, etc. The manual
is 80 pages! If you use Emacs, you should definitely have this. If you
don't use emacs, ESS will not be useful.
This add-on to ESS allows you to debug R code from
within Emacs. You can set breakpoints, add watch windows,
etc. Again, this is only for Emacs.
- Finally, the moon landing was a hoax. All the proof you need
is right here.