Welcome. Paul Johnson's Desultory Collection of Rtips and Guidance

Look below, you should just see the "raw" file and directory listing of this directory. This way, if I forget to write markup in this page for some document, I can still say "Go find that in my R page" to the students.

Rtips

The document "Rtips" is here! Rtips was my first effort to accumulate user-guide material for R. It started before the turn of the century, well before the world seemed to become awash in introductory guides, tip-sheets, and primer books for R.

Rtips is the same as "statsRus", in case you are keeping score.

WorkingExamples of R

Also I have built up a collection of self contained "working examples" . These are supposed to be things you can actually run and get smart from. The one on barplots is so incredibly awesome, you won't believe it when you see it.

Lately, I've been adding Working Examples in the rockchalk package (see below).

Sweave Tutorial

Most recently added below is the SweaveTutorial, which shows the bare minimum steps needed to use Sweave and then some details I add. Please read firstTry.pdf in there, the Rnw and tex files are in same folder.

I have a "LaTeX Get Started" document in the guides directory (read below). http://pj.freefaculty.org/guides/Computing-HOWTO/LatexAndLyx

Vignettes from the rockchalk R package

In late 2011, I created an R package called "rockchalk". That's available on CRAN now and the testing version is available on my server, http://rweb.quant.ku.edu/kran. The rockchalk package builds on the little bits of knowledge in Rtips, and it offers some more complete regression-oriented functions to process fitted models into output for papers. Distributed with rockchalk, there is an examples folder, and I'm thinking about polishing up the WorkingExamples here and navigating them to rockchalk. It seems to me that people generally ignore the WorkingExamples here, and just search Rtips for little HOWTO bits, and that's disappointing.

The vignettes from rockchalk are

  1. rockchalk: A survey of fuctions in rockchalk.
  2. Rchaeology: Observations from my field study of R programmers in their native habitat.

lectures & guides

I've re-located my other R and stats and computing notes to this area: http://pj.freefaculty.org/guides The sub-heading "Rcourse" (http://pj.freefaculty.org/guides/Rcourse) includes the lectures that are primarily about R, while the sub-heading "stat" (http://pj.freefaculty.org/guides/stat) includes lectures that generally use R, but the primary emphasis is on statistical applications and interpretation. The difference between the two is sometimes hard to describe (its mostly audience dependent).

PJ, 2012-06-20