I’m using R language and the manuals on the R site are really informative. However, I’d like to see some more examples and implementations with R which can help me develop my knowledge faster. Any suggestions?
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I’m using R language and the manuals on the R site are really informative. However, I’d like to see some more examples and implementations with R which can help me develop my knowledge faster. Any suggestions?
I’ll mention a few that i think are excellent resources but that i haven’t seen mentioned on SO. They are all free and freely available on the Web (links supplied).
Data Analysis Examples
A collection of individual examples from the UCLA Statistics Dept. which you can browse by major category (e.g., “Count Models”, “Multivariate Analysis”, “Power Analysis”) then download examples with complete R code under any of these rubrics (e.g., under “Count Models” are “Poisson Regression”, “Negative Binomial Regression”, and so on).
Verzani: SimpleR: Using R for Introductory Statistics A little over 100 pages, and just outstanding. It’s easy to follow but very dense. It is a few years old, still i’ve only found one deprecated function in this text. This is a resource for a brand new R user; it also happens to be an excellent statistics refresher. This text probably contains 20+ examples (with R code and explanation) directed to fundamental statistics (e.g., hypothesis testing, linear regression, simple simulation, and descriptive statistics).
Statistics with R (Vincent Zoonekynd) You can read it online or print it as a pdf. Printed it’s well over 1000 pages. The author obviously got a lot of the information by reading the source code for the various functions he discusses–a lot of the information here, i haven’t found in any other source. This resource contains large sections on Graphics, Basic Statistics, Regression, Time Series–all w/ small examples (R code + explanation). The final three sections contain the most exemplary code–very thorough application sections on Finance (which seems to be the author’s professional field), Genetics, and Image Analysis.