Hi all, I noted that the books below are not included on the R web site Documentation section under "Books". I thought that I would provide these and have created some bib entries consistent with the style used on the site. The abstract sections were copied from the publisher sites. I hope that these are acceptable to both the book list maintainer and the respective authors. Feel free to modify as may be appropriate. It is great to see the increasing number of new books on R! A special note to Paul Murrell on a great addition to the R library! I just got my copy this past week from Amazon.com. Well Done! Best regards, Marc Schwartz @BOOK{R:Crawley:2005, AUTHOR = {Michael J. Crawley}, TITLE = {Statistics: An Introduction using R}, PUBLISHER = {Wiley}, YEAR = 2005, NOTE = {ISBN 0-470-02297-3}, PUBLISHERURL = {http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470022973.html}, URL = {http://www.bio.ic.ac.uk/research/crawley/statistics/}, ABSTRACT = {Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology ? but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.} } @BOOK{R:Everitt:2005, AUTHOR = {Brian S. Everitt}, TITLE = {An R and S-Plus? Companion to Multivariate Analysis}, PUBLISHER = {Springer}, YEAR = 2005, NOTE = {ISBN 1-85233-882-2}, PUBLISHERURL = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-40109-22-34953445-0,00.html}, URL = {http://biostatistics.iop.kcl.ac.uk/publications/everitt/}, ABSTRACT = {In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/.} } @BOOK{R:Harrell:2001, AUTHOR = {Frank E. Harrell}, TITLE = {Regression Modeling Strategies, with Applications to Linear Models, Survival Analysis and Logistic Regression}, PUBLISHER = {Springer}, YEAR = 2001, NOTE = {ISBN 0-387-95232-2}, PUBLISHERURL = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-0-22-2187282-0,00.html}, URL = {http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/RmS}, ABSTRACT = {There are many books that are excellent sources of knowledge about individual statistical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield "...students typically know the technical details of regression for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies." Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks!) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.} }
Friedrich.Leisch@tuwien.ac.at
2005-Aug-29 14:19 UTC
[Rd] Additional Books on R for Web Site Listing
>>>>> On Sun, 28 Aug 2005 17:30:24 -0500, >>>>> Marc Schwartz (MS) wrote:> Hi all, > I noted that the books below are not included on the R web site > Documentation section under "Books". I thought that I would provide > these and have created some bib entries consistent with the style used > on the site. The abstract sections were copied from the publisher > sites. Thanks a lot, I have added them to the list (will go live later today). Best, Fritz -- ------------------------------------------------------------------- Friedrich Leisch Institut f?r Statistik Tel: (+43 1) 58801 10715 Technische Universit?t Wien Fax: (+43 1) 58801 10798 Wiedner Hauptstra?e 8-10/1071 A-1040 Wien, Austria http://www.ci.tuwien.ac.at/~leisch