Modern Applied Statistics with S (Statistics and Computing) (Anglais) Broché – 4 décembre 2010
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Commentaires client les plus utiles sur Amazon.com
The one star concerns explicitly the Kindle edition. In short: The rendering of formula and even (plain text!) S/R code is a scandal.
Formula and S/R code are included as bad resolution pictures and NOT rendered professionally in HTML5. They appear in pale grey and cannot be zoomed!
Springer has demonstrated with another Kindle book I purchased (Bapat RB: Linear Algebra and Linear Models) that they are capable of producing a professional Kindle version.
I purchased the Kindle edition in addition to the printed one, just to have it around when I need to look things up.
The same issue is valid for the Springer Kindle versions of:
Dalgaard P: Introductory Statistics with R
Zuur AF et al: Mixed Effects Models and Extensions in Ecology with R
I will repeat this statement in reviews for the above mentioned books.
When I have found out how to contact costumer service at Springer I will formally demand a refund or an update.
Do not buy the Kindle edition.
The first five chapters are a brief overview of /introduction to S-Plus (or R). These chapters present enough information and examples to make the rest of the book fairly easy to work through.
I got the book primarily to work design of experiments. The chapters on linear statistical models and general linear models were perfectly suited to my needs. Topics like factorial experiments, random and mixed effects, nested designs, partially balanced designs are covered. In addition, techniques of robust analysis and bootstrap methods are presented.
The book covers many other areas - non-linear models, classification, time series, optimization.. I have not worked through any of these topics in the book.
Overall I find Modern Applied Statistics with S to be an excellent book, invaluable if one is using R (I don't have S-Plus) as the vehicle for analyses.
Still, this is a must have for any applied statistician.
I picture it like this: if your going into a graduate program that uses R buy this book and you will use it. 2 out of 3 courses I took in spring semester used R heavily. I am surprised none of the instructors had the line "Recommended for students continuing in R is MASS..." in their syllabus. Because that is exactly what I would say. This is one of those books you want to get early, and keep it around.
It never explains enough of the statistics to stand on its own; however, its coverage of R and R packages is more complete than anything I have found elsewhere. And having got it a year after I first started using R, I am sad I didn't get it sooner =)~
If you're changing topics alot like a student does is it ~the~ desk reference for R? Probably. Maybe I will run into a better one in a few months though? I dunno.. you get it and tell me.