search for: springeronlin

Dear All, after searching on CRAN I got the impression that there is no standard way in R to label values of a numerical variable. Since this would be useful for me I intend to create such an attribute, at the moment for my personal use. Still I would like to choose a name which does not conflict with names of commonly used attributes. Would value.labels or vallabs create conflicts? The

...the latest issue of Amstat News and noted that there is a new book from Springer on R/S-PLUS pending by Professor Brian Everitt called "An R And S-Plus Companion To Multivariate Analysis". The book appears to be due to be release next month. The link for the Springer site is: http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-40109-22-34953445-0,00.html and the Amazon.com link is: http://www.amazon.com/exec/obidos/tg/detail/-/1852338822 Professor Everitt's prior related work, co-authored with Dr. Sophia Rabe-Hesketh, is "Analyzing Medical Data Using S-PLUS" also from Spr...

The software for my recent book Statistical Analysis and Data Display Richard M. Heiberger and Burt Holland http://springeronline.com/0-387-40270-5 is now available as an R package from the book's website. The package has been submitted to CRAN. Description: Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary presentation of statistical methods f...

Hi, we need some help to define planned comparisons. I've based my understanding of the problem on reading Tabachnick and Fidell (2006), ie: http://www.ablongman.com/catalog/academic/product/0,1144,0205459382,00.html I don't understand how to specify planned comparisons in R. I've not found explanations for this in MASS or elsewhere. There is only discussion of the contrast

Dear R, I import data from spss into a R data.frame. On this rawdata I do some data processing (selection of observations, normalization, recoding of variables etc..). The result is stored in a new data.frame, however, in this new data.frame the value labels are lost. Example of what I do in code: # read raw data from spss rawdata <- read.spss("./data/T50937.SAV",

Hi everyone I have the following situation: In a longitudinal study, subjects fill out a questionnaire every year (repeated measurements over time). Also, the subjects are nested within departments. There is an intervention going on over time. The outcome variable is continuous. Now I'd like to analyse two things: 1. Is there a significant change over time? I think this is done by a

Hi, I have been using R for a few months now and I am confident that the language has everything I will need to complete my PhD. I can create functions, script files and packages, but I would like to write my programs more efficiently (maybe using OO). Can anyone recommend a good book on the "art" of good R programming? Kind Regards, Sam.

I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data

hi list, i have to ask you again, having tried and searched for several days... i want to do a TukeyHSD after an Anova, and want to get the adjusted p-values after the Tukey Correction. i found the p.adjust function, but it can only correct for "holm", "hochberg", bonferroni", but not "Tukey". Is it not possbile to get adjusted p-values after