I would recommend Peter Dalgaard's book for an introduction to Statistics with R. Also, a resource that maybe more aligned with what you are asking for may be the so called ARTIST project. Details at www.gen.umn.edu/artist/
"Lutz Prechelt" <[EMAIL PROTECTED]> Sent by: [EMAIL PROTECTED] 03/16/2004 06:44 AM To: "R Help" <[EMAIL PROTECTED]> cc: Subject: [R] Terminology and canonical statistical user literature Brian Ripley wrote (to somebody asking about "effect sizes"): > ... > Given that, I wonder if you are used to standard terminology. Good point. But I think for many of us there is more behind that. I personally belong to an (apparently fairly large) group of R users who may be enthusiastic, but are statistical laymen due to a lack of formal education in the area. The half-knowledge that I have is often sufficient to see that many otherwise nice sources of statistical knowledge are dangerously incomplete when it comes to explaining the preconditions required for applying a certain technique (One example: The extensive NIST handbook at http://www.itl.nist.gov/div898/handbook/ fails to mention that the Wilcoxon rank sum test assumes a continuous distribution underlying the sample) This is not to speak of how to correctly interpret the results. My situation is this: - I often have a hard time understanding the R documentation due to lack of background. - I am not in a position to obtain a full background like a statistics student would get it. - I am very interested in carefully checking/validating my application of statistical techniques. - I cannot usually get a consulting statistician to help me. My question: Could some of the R gurus maybe agree on a book (or very small set of books) with the following properties?: - explains typical approaches of statistical analysis (like MASS, but not as condensed) - carefully describes preconditions, how to check them, robustness if they are violated, interpretation of results - avoids explaining the innards of the techniques (and generally uses the perspective of the computer age) - uses terminology that is easily mapped to R If yes, I would be very interested in seeing this list. I understand that one book cannot cover it all, but maybe there is at least something like "CAS-" (Conservative Applied Statistics without S) that is of this type? :-) Lutz Prechelt Prof. Dr. Lutz Prechelt; [EMAIL PROTECTED] Institut für Informatik; Freie Universität Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/ ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html