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:
From Data Monster & Insight Monster