SAS and R: SAS and R included on R bloggers

Friday, December 18, 2009

SAS and R included on R bloggers

The R bloggers site is an aggregator for blogs about R. We're excited to be joining that community and suggest any readers of this blog may also find it useful.

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Reviews (from the first edition)

"By placing the R and SAS solutions together and by covering a vast array of tasks in one book, Kleinman and Horton have added surprising value and searchability to the information in their book. … a home run, and it is a book I am grateful to have sitting, dust-free, on my shelf."
—Robert Alan Greevy, Jr, Teaching of Statistics in the Health Sciences

"I use SAS and R on a daily basis. Each has strengths and weaknesses, and using both of them gives the advantage of being able to do almost anything when it comes to data manipulation, analysis, and graphics. If you use both SAS and R on a regular basis, get this book. If you know one of the packages and are learning the other, you may need more than this book, but get this book, too. "

Charles Heckler, University of Rochester, Technometrics

"Excellent cross-referencing to other topics and end-of-chapter worked examples on the ‘Health evaluation and linkage to primary care’ data set are given with each topic. … users who are proficient in either of the software packages but with the need to use the other will find this book useful."
—Frances Denny, Journal of the Royal Statistical Society, Series A

About the authors

Nicholas Horton is a Professor of Statistics at Amherst College. He is a biostatistician with expertise in missing data methods, longitudinal regression, statistical computing and statistical education. Nick's home page; Nick's Google Scholar author page

Ken Kleinman is an Associate Professor with the Department of Biostatistics and Epidemiology at the University of Massachusetts, Amherst. He is a consulting biostatistician with expertise in group-randomized trials and disease surveillance; he also offers R training courses. Ken's home page; Ken's Google Scholar author page.

SAS and R

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Friday, December 18, 2009

SAS and R included on R bloggers

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About SAS and R

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