As a newbie to R, I need to learn my way around (no previous experience of S).What books, doc for R are recommended? I'm interested primarly in non linear regression and process modelling (and have downloaded the R documentation from the site). Thanks for all tips Anne
Books for R
3 messages · Anne, Ko-Kang Kevin Wang, Brian Ripley
On Wed, 13 Aug 2003, anne wrote:
As a newbie to R, I need to learn my way around (no previous experience of S).What books, doc for R are recommended? I'm interested primarly in non linear regression and process modelling (and have downloaded the R documentation from the site).
So you have checked the publications on R web site? http://www.r-project.org/doc/bib/R-publications.html There is a list there. William N. Venables and Brian D. Ripley. Modern Applied Statistics with S. Fourth Edition. Springer, 2002. ISBN 0-387-95457-0. in particular, is a very good book for beginners. It has a chapter on non-linear regression and smooth regression, using packages like nls.
Cheers, Kevin ------------------------------------------------------------------------------ "On two occasions, I have been asked [by members of Parliament], 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able to rightly apprehend the kind of confusion of ideas that could provoke such a question." -- Charles Babbage (1791-1871) ---- From Computer Stupidities: http://rinkworks.com/stupid/ -- Ko-Kang Kevin Wang Master of Science (MSc) Student SLC Tutor and Lab Demonstrator Department of Statistics University of Auckland New Zealand Homepage: http://www.stat.auckland.ac.nz/~kwan022 Ph: 373-7599 x88475 (City) x88480 (Tamaki)
This is covered in the FAQ. The most comprehensive accounts of non-linear regression I know of are in Chambers & Hastie (1992, for S) and Venables & Ripley (2002 and earlier editions, for R or S).
On Wed, 13 Aug 2003, anne wrote:
As a newbie to R, I need to learn my way around (no previous experience of S).What books, doc for R are recommended? I'm interested primarly in non linear regression and process modelling (and have downloaded the R documentation from the site).
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595