[R] Re: S-plus book

Ko-Kang Kevin Wang Ko-Kang at xtra.co.nz
Fri Mar 15 09:44:54 CET 2002


----- Original Message -----
From: "Ott Toomet" <siim at obs.ee>
To: "Francisco J Molina" <FJMolina at lbl.gov>
Cc: "r-help" <r-help at stat.math.ethz.ch>
Sent: Friday, March 15, 2002 8:52 PM
Subject: [R] Re: S-plus book


> On Thu, 14 Mar 2002, Francisco J Molina wrote:
>
>   |I would like to know if a book on S-plus could help me to learn R.
>
> As mentioned, MASS (modern applied statistics with S-plus) is a classical
> book for R.  You should only be aware that
>
> - the book do not mention R at all
> - you need slight modifications for the example code (e.g. you should
often
> load a specific library)

Actually, within the MASS library (after you've installed it) - normally in
$R_LIB/MASS/scripts, there are copies of modified R version of the codes for
all chapters in that book.  They should work in R directly without any
modifications at all.

> - you should install packages VR and MASS (the last one is presumably
> installed by default), these packages include all (?) the necessary code
for
> the examples.

Aren't they the same?  I have a feeling that VR is the name of the
compressed source files of the library, once it is installed it will be
called MASS.  In other words you cannot find MASS.zip or MASS.tar.gz from
CRAN, because it is called VR.zip or VR.tar.gz


> I really recommend that book, do not be afraid that it only speaks about
> S-plus.

I agree.  It has the basic fundamental principles about statistics too.

>
> If you are more interested in programming yourself, and less in
> pre-programmed packages, you may consider ,,S programming'' by Venables &
> Ripley.  This book speaks about R explicitly (because it is newer?).

Yes I have this book too but in my opinion it is more related to
programming, if one is looking for applied statistics book (so one can apply
statistics using R), then MASS book is the choice.

Cheers,

Kevin

------------------------------------------------
Ko-Kang Kevin Wang
Postgraduate PGDipSci Student
Department of Statistics
University of Auckland
Auckland
New Zealand



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