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Title: Introductory Statistics with R by Peter Dalgaard ISBN: 0-387-95475-9 Publisher: Springer Verlag Pub. Date: 12 August, 2002 Format: Paperback Volumes: 1 List Price(USD): $47.95 |
Average Customer Rating: 5 (2 reviews)
Rating: 5
Summary: Very readable introduction
Comment: This book provides a very readable introduction to basic statistical analysis using R (with occational references to S-Plus). The table of contents displays the topics and I thought they were generally well covered in enough detail to compute the statistics (but this is not a statistics text). Especially helpful are the additional analysis steps, such as graphing results, and the peripheral R issues. Small things I would change: expanded coverage of manipulating data (e.g., SPSS's RECODE, TEMPORARY, MERGE FILE,...), more explicit instructions on installing the example data (it's at the end of the installation Appendix), discussion of interactions in ANOVA and regression, discussion of ANCOVA, and finally I would have liked a quick overview of the available packages and the stats they provide. But these are small issues; it's a great book.
Rating: 5
Summary: A good book where there are few
Comment: Introductory Statistics with R is an important book for a rapidly developing field. R is an extremely powerful statistical computing environment which suffers from the same problem as almost every other free software project -- a lack of quality documentation. Dalgaard fills a major gap with this book, that is, a guide to using R for many standard statistical problems.
For some time now, users have had to make do with S-PLUS books which contained some overlap with R. Now R users have a book they can call their own. After briefly discussing the R system and the language basics, Dalgaard goes through what might be covered in an advanced undergraduate data analysis course. Throughout the book, code examples and output are carefully interspersed so that the reader doesn't go too long without having a concrete example.
Dalgaard leaves out some advanced topics such as time series, spatial statistics, etc. (some of which are nicely covered in Modern Applied Statistics with S by Venables and Ripley) but that is probably for the best. The book is not bloated, nicely priced and I would recommend it to any advanced undergrad or first year grad student wanting to learn how to do statistical analysis in R.
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Title: An Introduction to R by William N. Venables, David M. Smith ISBN: 0954161742 Publisher: Network Theory Ltd. Pub. Date: May, 2002 List Price(USD): $19.95 |
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Title: Data Analysis and Graphics Using R by John Maindonald, John Braun ISBN: 0521813360 Publisher: Cambridge University Press Pub. Date: 01 August, 2003 List Price(USD): $65.00 |
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Title: Modern Applied Statistics with S by Brian D. Ripley, William N. Venables ISBN: 0387954570 Publisher: Springer Verlag Pub. Date: 12 August, 2002 List Price(USD): $72.95 |
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Title: An R and S Plus Companion to Applied Regression by John Fox ISBN: 0761922806 Publisher: Sage Publications Pub. Date: 15 June, 2002 List Price(USD): $43.95 |
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Title: S Programming by William N. Venables, Brian D. Ripley ISBN: 0387989668 Publisher: Springer Verlag Pub. Date: 20 April, 2000 List Price(USD): $72.95 |
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