There is a lot of collection like this in the internet. My purpose here is to create a list for my friends/colleagues who ask for such recommendations.

A simple logical document is perhaps this one: http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf

Some of the logical traps are interestingly discussed here: http://www.burns-stat.com/pages/Tutor/R_inferno.pdf

This one is truely quicker and has snippets of codes for specific tasks.

1. http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf – This 104 pages material was preparatory work by the author for his book, “The Art of R Programming”, by Norman Matloff, University of California, Davis. This has a book type appeal.

2. http://r-statistics.net/collections-r.html (kind of every day learning modules). Similar to that is – http://www.cyclismo.org/tutorial/R/

3. A lecture type presentation deck is here: http://www.sph.umich.edu/csg/abecasis/class/815.04.pdf

4. You want presentation about just R graphics – Here is a 75 slides presentation – http://faculty.washington.edu/cadolph/vis/graph_r.p.pdf

5. I like the following 103 pages ebook which is published by CRAN – the manager of R software: http://www.cran.r-project.org/doc/manuals/R-intro.pdf

6. One more R-guide ebook – 81 pages – http://stat.ethz.ch/CRAN/doc/contrib/Owen-TheRGuide.pdf

Here are some Youtube videos which I highly recommend because it is very engaging.

Here is the claim from Stanford university collection of lectures. By the end of parts I, II, III participants will be able to:

· Interact with R using commands passed through the console

· Import and export data in various formats and transform those data in R

· Make statistical graphics plots (and more)

· Write small scripts and functions using the R language.

For a complete description of the classes & Installing “R” and other packages prior to the class: please see instructions for “Introduction to R programming I & II course” [pdf] http://elane/laneconnex/public/media/…

1. PART1 here. http://www.youtube.com/watch?v=HKjSKtVV6GU – this provides details on installing in the first 20 minutes

2. PART2 here. http://www.youtube.com/watch?v=BsWY7uwbs70

3. PART3: Using R graphics – http://www.youtube.com/watch?v=mMaGsVXFfv8

4. To complete the above, here is how to create your own package. http://www.youtube.com/watch?v=8-dGf-7arFI

Tell me how this can be chiseled better for other readers, if you use this list.

**Updated with time series applications in R:**

http://www.statoek.wiso.uni-goettingen.de/veranstaltungen/zeitreihen/sommer03/ts_r_intro.pdf

http://www.statoek.wiso.uni-goettingen.de/mitarbeiter/ogi/pub/r_workshop.pdf

From Data Monster & Insight Monster