similar to: read.spss and time/date information

Hi, It works for me to import spss datasets via library(foreign) with read.spss or via library Hmisc by (spss.get). But no matter which way I do import the data, user-defined missings from Spss are always lost. (it makes no difference if there are a single value, a range, or any combination of them. They are always ignored). Is there any way in R to find out if any value was user-defined missing

Hi, is anybody out there who knows APL and would help me to translate 52 lines of APL code into propper R? best, Torsten

Hi, the following example aiming at a class containing a logical slot segfaults under R-1.9.0 when `gctorture(on = TRUE)' is used: Code code (dummy.c): #include <Rdefines.h> SEXP foo() { SEXP ans; PROTECT(ans = NEW_OBJECT(MAKE_CLASS("test"))); SET_SLOT(ans, install("lgl"), allocVector(LGLSXP, 1)); LOGICAL(GET_SLOT(ans,

The `examples' section says plot.mlm # to see how the "NotYetImplemented" # reference is made automagically ^ Best, Torsten

hi, just having the idea create a simple tcl/tk gui-dialog for different data-file formats i get starting problems and it would be nice get some tips/tricks from experienced tcl/tk user in R ! tt <- tktoplevel() label.widget <- tklabel(tt,text="Decision Tree GUI") button.widget <- tkbutton(tt,text="Select SPSSFile", command=function()

Hi, when we add \examples{ a <- 1:4 a %*% a } into a Rd-file are run R CMD check, the resulting R code is a <- 1:4 a So, %*% ... is lost on the way if I'm not totally confused. Torsten --please do not edit the information below-- Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system = i686, linux-gnu status = Patched major = 1 minor = 2.0 year =

Dear developeRs, I thought that backslashes can be escaped in the usual way (and I think I did this before) but I can't see why R> gsub("\\", "x", "\alpha") Error in gsub(pattern, replacement, x, ignore.case, extended, fixed, useBytes) : invalid regular expression '\' gives an error. Or am I just blind? Best, Torsten R> version

Hello, I use t.test for normal distributed and wilcox.test for non-normal distributed samples. It is easy to write a function for t.test that calculates the effect size, because all parts of the formula are available from the t.test result: r = sqrt(t*t / (t*t + df)) However, for Wilcoxon tests, the formula for effect sizes is: r = Z / sqrt(N) I wonder how I can calculate the Z-score in R for

Hi, currently the "label" and "edgetext" attributes of a dendrogram are coerced to character before they are added to a plot with `text'. Is there a specific reason to do so (expect for the determination of the size of the character string to be plotted)? Otherwise one could plot the attributes directly via diff dendrogram.R /usr/src/R/src/library/stats/R/dendrogram.R

Hi, a friend of mine came across this R> x <- 1:5 R> cbind(x,x) x x [1,] 1 1 [2,] 2 2 [3,] 3 3 [4,] 4 4 [5,] 5 5 R> rbind(x,x) [,1] [,2] [,3] [,4] [,5] x 1 2 3 4 5 x 1 2 3 4 5 x is a vector and therefore has no dim-attribute. Obviously cbind treats x as a col-vector but rbind treats x as a row-vector, that is: two functions have a different

Hi, in last nights alpha version, `var' is broken: R> var(rnorm(100)) Error in var(rnorm(100)) : 3 arguments passed to "cov" which requires 4. which I suspect is due to recent changes to `cov'. The same is true for R> cov(rnorm(100), rnorm(100)) Error in cov(rnorm(100), rnorm(100)) : 3 arguments passed to "cov" which requires 4. Best, Torsten R> version

torsten@www:/raid/home/torsten > ping rsync.r-project.org PING franz.stat.wisc.edu (128.105.174.95): 56 data bytes --- franz.stat.wisc.edu ping statistics --- 12 packets transmitted, 0 packets received, 100% packet loss Torsten -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

New package `multcomp' for general multiple comparisons written by Frank Bretz, Torsten Hothorn and Peter Westfall We've uploaded the package `multcomp' to CRAN. The R package allows for multiple comparisons of k groups in general linear models. We use the unifying representations of multiple contrast tests, which include all common multiple comparison procedures, such as the

New package `multcomp' for general multiple comparisons written by Frank Bretz, Torsten Hothorn and Peter Westfall We've uploaded the package `multcomp' to CRAN. The R package allows for multiple comparisons of k groups in general linear models. We use the unifying representations of multiple contrast tests, which include all common multiple comparison procedures, such as the

Hi, did anybody manage to compile F90 sources in an R-package? The major problem is, at least in my opinion, that non of the "free" F90 -> F77 converters is working correctly, at least for the F90 sources I need to compile. Torsten -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

I suppose that multcomp in R and multicomp in S-Plus are related and it appears that it is possible to use multicomp with lme in S-Plus given the following correspondence on s-news sally.rodriguez at philips.com 12:57 p.m. 24/04/03 -0400 7 [S] LME summary and multicomp.default() Is it possible to use multicomp with lme in R and if so what is the syntax from a simple readily available

r-devel from this morning says hothorn@www:~ > R R : Copyright 2001, The R Development Core Team Version 1.4.0 Under development (unstable) (2001-12-09) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type icense()' or icence()' for distribution details. R is a collaborative project with many contributors. Type

Hello R-users, I would like to generate two-way contingency tables with zero in one cell. I tried to use the function r2dtable but I could not force one cell to have zero value. Any Idea? Best regards.. Mahmoud [[alternative HTML version deleted]]

Dear All, I am using wilcox.test to test two samples, data_a and data_b, earch sample has 3 replicates, suppose data_a and data_b are 20*3 matrix. Then I used the following to test the null hypothesis (they are from same distribution.): wilcox.test(x=data_a, y=data_b, alternative="g") I got pvalue = 1.90806170863311e-09. When I switched data_a and data_b by doing the following:

Hi, Thank you for the tip. I tried to re-intall R from Debian "stable", in which R's version is 1.4.0. And the installation of "mvtnorm" works. I then re-installed R yet again from Debian "unstable" (woody), in which R's version is 1.5.1. The installation of "mvtnorm" fails again with the same error message. Another package that failed with the