similar to: R-beta: Sun performance library

When reading comma-delimited files as saved from a spreadsheet (unfortunately many of my scientific collaborators give me these) in read.table(), missing values are spotted most of the time. Unfortunately when comma is the first character on the line it gets it wrong. For example, reading the file 1,,3 ,5,6 ,8,9 with read.table("test.dat", header=F, sep=",") R gives

Is there any way of running R in ESS using -n and -v arguments other than the default? Thanks Jonathan -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk MRC Biostatistics Unit Tel. 01223 330371 Institute of Public Health FAX 01223 330388 University Forvie Site Robinson Way CAMBRIDGE CB2 2SR

Is there a way to "unplug" the windows graphics from R, so that it will work across a teletype telnet session or in a Linux box proving resistant to having windows added to it? Thanks Jonathan Myles -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk MRC Biostatistics Unit Tel. 01223 330371 Institute of Public Health FAX 01223 330388 University Forvie

Changing from 0.64.1 to 0.64.2 is causing some dynamically-loaded code to crash with the message: ld.so.1: /usr/local/lib/R/bin/R.binary: fatal: relocation error: file /homef/jonm/glib/ggg/libs/glmm.so: symbol R_chk_calloc: referenced symbol not found (I've added carriage returns) what am I doing wrong? Jonathan -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk

Thanks to everyone who helped with my query---Professors Riply, Bates, Lumley, and Tim Keitt. I said <snip> > My worries are > > a) That I've used calloc rather than S_alloc throughout. Professors Bates and Ripley both pointed out that calloc should be replaced by Calloc and free by Free, which, I'll do. ---- I said: > b) That I've used the following

Is there a platform-independent way of checking in R whether a given file exists in the user's filespace? (so in a unix system, can you check within R whather, say, /homef/jonm/thisfile exists) Thanks Jonathan Myles -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk MRC Biostatistics Unit Tel. 01223 330372 Institute of Public Health FAX 01223 330388

Where are the archives of r-help kept, please? Jonathan -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk MRC Biostatistics Unit Tel. 01223 330371 Institute of Public Health FAX 01223 330388 University Forvie Site Robinson Way CAMBRIDGE CB2 2SR -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --

Is there any way of getting just the LaTex output which R CMD Rd2dvi generates on the way to produces a .dvi file, which could then be incoorporated into another document? Thanks, Jonathan -- Dr. Jonathan Myles e-mail:jonathan.myles at mrc-bsu.cam.ac.uk MRC Biostatistics Unit Tel. 01223 330372 Institute of Public Health FAX 01223 330388 University Forvie Site

I have C routines in a collection of files "/homef/jonm/postdocs/GLMM_project/Cprogs/nn/misc.o" "/homef/jonm/postdocs/GLMM_project/Cprogs/nn/random.o" "/homef/jonm/postdocs/GLMM_project/Cprogs/nn/ars.o" ... etc , where the third file includes functions which call functions in the second. In S, the function > gload function() {

Hello, I've been looking in the on-line manuals and searching past posts but can't find an answer to this question. I'd like to define my own variance function in a GLM. The function glm(formula, family=quasi(var="var function")) lets me choose from a selection of built in variances, but I want to define my own function for the variance. Is there an S-plus

Hello, I've had a quick look on the list and can't find an answer to this niggle. Whilst debugging some code, I noticed that looping variables in R are not local to the loop as seams common in procedural languages. For example consider the following piece of code: for(i in 1:3){ cat(i,"") for(i in c("a","b","c")){ cat(i,"")

(I dithered a bit about whether this belongs on r-help (as part of it is a general R question) or r-devel (as it's a question relating to putting stuff on CRAN) but decided it might be of general enough interest to go on the former ) I am currently preparing an R library to estimate approximate posterior distributions for parameters in Generalised Linear Mixed Models by Gibbs Sampling

Hello, I have found a problem with using the glm function with a gamma family. I have a vector of data, assumed to be generated by a gamma distribution. The parameters of this gamma distribution are estimated in two ways (i) using the glm() function, (ii) "by hand", using the optim() function. I find that the -2*likelihood at the maximum found by (i) is substantially larger than that

Dear R-users I am introducing my collegue to R and she is interested to use R to perform Polytomous Logistic Regression called also Multi-category logistic regression. Is there any program in R doing this? Thank you so much for any feedback. I take this opportunity to thank people who were kind to answer my query about how to include a postscript file generated from R, in a latex file and

Thanks to Vin Everett and David Clayton <david.clayton at mrc-bsu.cam.ac.uk>, an RPM package of R-0.62.4 for Red Hat Linux/SPARC 5.1 is now available on CRAN. This means that RPMs are available for all three platforms (Intel, Alpha, SPARC) currently supported by Red Hat. Martyn -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-announce mailing list -- Read

Thanks to Vin Everett and David Clayton <david.clayton at mrc-bsu.cam.ac.uk>, an RPM package of R-0.62.4 for Red Hat Linux/SPARC 5.1 is now available on CRAN. This means that RPMs are available for all three platforms (Intel, Alpha, SPARC) currently supported by Red Hat. Martyn -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-announce mailing list -- Read

Hi I am trying to use the deriv and eval functions to obtain the value of a function , say "xi-(alpha0+alpha1*gi)" , differentiated with respect to alpha0 and alpha1, in the following way # for gi = 0 > dU1dtheta <- deriv(~ xi-(alpha0+alpha1*gi), c("alpha0","alpha1")) > eval(dU1dtheta) (Intercept) -0.2547153 attr(,"gradient")

Dear R users, I'd like to announce a new package on CRAN called ``denstrip''. It implements ``density strips'' and other graphical methods for illustrating and comparing distributions in a compact fashion. Posterior distributions of parameters are often summarised using point and line drawings of means and credible intervals. This is common, for example, in multiple

Dear R users, I'd like to announce a new package on CRAN called ``denstrip''. It implements ``density strips'' and other graphical methods for illustrating and comparing distributions in a compact fashion. Posterior distributions of parameters are often summarised using point and line drawings of means and credible intervals. This is common, for example, in multiple

I want to cite R for an article. What is the right thing to do? Shall I include "Notes on R" or is there a better way? -- mailto:koloska at rcs.urz.tu-dresden.de http://rcswww.urz.tu-dresden.de/~koloska/ -- -- right now the web page is in german only but this will change as time goes by ;-)