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http://stats.stackexchange.com/questions/138/resources-for-learning-r

Imputation is important. I created a wrapper for R's interpolation function to use spline interpolation to fill in missing data points in some pollutant monitoring data I had. It was a nice touch to have a complete graph, and since it was continuous with minimal missing values, the interpolation was appropriate. (Though, I ended up putting a smoother on the line anyway.) In any numerical analysis program, you usually go over interpolation methods. There are quite a few options in that regard, and I'm sure there's other cases where other imputation methods I'm unaware of are more appropriate. I look forward to checking this book out! Need new gym bike material to read haha

If you are learning R and already know another package, *R for SAS and SPSS Users* or *R for Stata Users* will take advantage of what you already know and translate that into knowledge of R. The table of contents and index lets you look things up by what SAS / SPSS / Stata would call something or what R calls it. You can read reviews of it at http://r4stats.com/books.

There are also lots of examples of things done in R, SAS, SPSS and Stata at http://r4stats.com/examples.

There are also lots of examples of things done in R, SAS, SPSS and Stata at http://r4stats.com/examples.

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Your books are how I got into R and how I now teach others. Lovely to have you on board Bob!

Nice compilation of tutorials:

http://pairach.com/2012/06/17/r_tutorials_non-uni/

http://pairach.com/2012/06/17/r_tutorials_non-uni/

Code:

```
> a <- sqrt(2)
> a*a == 2
[1] FALSE
```

It's not terribly short but is very useful for anybody doing any sort of computation using floating point arithmetic.

Dan Bailey and Matt Nunes at the University of Bristol and their "idiot’s guide" to builing packages in R

http://rwiki.sciviews.org/doku.php?id=guides:the_idiot_s_guide_to_r_package_creation

what makes it bad?

Here I post the direct link

http://web.archive.org/web/20080619....uk/~maman/computerstuff/Rhelp/Rpackages.html

http://blog.revolutionanalytics.com/2012/12/coursera-videos.html

Hope the videos stay up.