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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- 1There's the R book by Crawley and a whole series of "Use R!" books published by Springer, e.g. Cook and Swayne "Interactive and Dynamic Graphics for Data Analysis." Because R has been recognised in a variety of fields by researchers who need it to do statistical work, you will find quite a selection of texts.Paul– Paul2010-02-15 13:35:38 +00:00Commented Feb 15, 2010 at 13:35
- 2See this other SO question stackoverflow.com/questions/102056/… on ways to find help with R.Richie Cotton– Richie Cotton2010-02-15 13:39:01 +00:00Commented Feb 15, 2010 at 13:39
- Perhaps we should make this a community wiki so as to compile a "master list"?Sharpie– Sharpie2010-02-15 19:11:26 +00:00Commented Feb 15, 2010 at 19:11
- @Sharpie: Absolutely! It's wiki now.Mehper C. Palavuzlar– Mehper C. Palavuzlar2010-02-15 20:58:28 +00:00Commented Feb 15, 2010 at 20:58
- 1If you are overwhelmed by the tons of suggestions below then you can try hackr.io/tutorials/learn-r to find the great R tutorials submitted and voted by the programming community.Saurabh Hooda– Saurabh Hooda2016-12-13 11:53:19 +00:00Commented Dec 13, 2016 at 11:53
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4 Answers
Just to add some more
INTRODUCTION TO STATISTICAL MODELLING IN R
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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.
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Paolo
Statistics with R is really a chest full of treasures! Highly recommended!
All the packages on CRAN are open source, so you can download all the source code from there. I recommend starting there by looking at the packages you use regularly to see how they're implemented.
Beyond that, Rosetta Code has many R examples. And you may want to follow R-Bloggers.
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Book like tutorials
Book like tutorials are usually spread in the form of PDF. Many of them are available on the R-project homepage here:
http://cran.r-project.org/other-docs.html#english
(This link includes many of the texts others have mentioned)
Article like tutorials
These are usually present inside blogs. The biggest list of R-bloggers I know of exists here:
And many of these bloggers posts (many of which are tutorials) are listed here:
http://www.r-bloggers.com/archive/
(although inside each blog there are usually more tutorials).
