Introductory Statistics with R

June 3, 2010

(This article was first published on R-Chart, and kindly contributed to R-bloggers)

I am in the process of reading several books on R, S or statistics. I can’t say that I have completed any of these – at least to the depth that I would like to… but I have found them helpful up to this point in various ways. I’ll add to these book reviews as I have time to read the books in greater detail. The reason I am writing about these books now is that they have provided some immediate benefit related to using R. So I can’t say that I have grasped all that the author intended to communicate, but what I have learned has been very helpful.

The first of these is Introductory Statistics with R by Peter Dalgaard. This book covers many of the subjects that are part of introductory statistics courses. The book was originally based on notes for a course for health researchers at the University of Copenhagen. As such it was originally targeted at those who have Ph.D. degrees in medicine. Although the target audience has been expanded, its original focus is evident – especially in the many examples of data provided in the ISwR package.

The books is very strong in providing specific working examples of statistical operations. It does not include a large amount of theoretical background, and does not dwell on the finer points of programming in R. It is a good resource for those seeking to understand how to perform statistical operations with R.

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