similar to: What version to choose...

Hello, I'm stumped. I'm trying to join a machine to a domain and I get this : # samba-tool domain join campus.mcgill.ca DC -Udavid.salib at CAMPUS.MCGILL.CA Finding a writeable DC for domain 'campus.mcgill.ca' Found DC DC01.campus.MCGILL.CA Password for [david.salib at CAMPUS.MCGILL.CA]: workgroup is CAMPUS realm is campus.MCGILL.CA checking sAMAccountName Adding

Hi everyone, I have built an R package and for the sake of speed I have decided to rewrite some part of the code in C++. In my original R code I use the pnorm, qnorm, rnorm, pgamma, dgamma, rgamma, rbeta and runif function. First I was thinking in going with the boost libraries, but I noticed the functions described above are available within the R.h header file (or is it Rmath.h?). So my

Hello everyone! First of all, please note that I'm working under Windows 7. I have written a Gibbs sampler in R and I'm now in the process of translating it in C++ to increase the speed. I'm relatively new to C++ and this question may be trivial, but my search so far have been unsuccessful. In my Gibbs sampler I am using some basic R functions (like the rep function for example)

On Wed, December 22, 2004 12:11 am, r.ghezzo at staff.mcgill.ca said: > ----- Forwarded message from r.ghezzo at staff.mcgill.ca ----- > Date: Mon, 20 Dec 2004 15:45:11 -0500 > From: r.ghezzo at staff.mcgill.ca > Reply-To: r.ghezzo at staff.mcgill.ca > Subject: [R] problems with limma > To: r-help at stat.math.ethz.ch > > I try to send this message To Gordon

Hello, I am writing down a general function to implement the bootstrapF method for repeated measures anova. I am passing the function several data frames: y = dependent subj = subject identifiers b = between-subjects factors (number = NB) w = within-subjects factors (number = NW) after grouping of all these variables in a single data frame the aov() call looks like this:

Hello, I am looking for references about mixed models built on rank transformed data. Did anybody ever consider this topic? Thank you, Bruno ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Bruno L. Giordano, Ph.D. CIRMMT Schulich School of Music, McGill University 555 Sherbrooke Street West Montr?al, QC H3A 1E3 Canada http://www.music.mcgill.ca/~bruno/

Hi, I got a code from S that uses 'nlminb' to minimize a function with constraints. Is there a similar function in R? Thanks. R. Heberto Ghezzo Ph.D. Meakins-Christie Labs McGill University Montreal - Canada heberto at meakins.lan.mcgill.ca -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, I built 4 mixed models using different data sets and standardized variables as predictors. In all the models each of the fixed effects has an associated random effect (same predictor). What I find is that fixed effects with larger (absolute) standardized parameter estimates have also a higher estimate of the related random effect. In other words, the higher the average of the absolute

Hello, I am using logistic discriminant analysis to check whether a known classification Yobs can be predicted by few continuous variables X. What I do is to predict class probabilities with multinom() in nnet(), obtaining a predicted classification Ypred and then compute the percentage P(obs) of objects classified the same in Yobs and Ypred. My problem now is to figure out whether P(obs) is

It would be great to know if and where an R code for Common Principal Component Analysis is available. Thanks, Daniel Daniel Berner Redpath Museum & Dept. of Biology McGill University 859 Sherbrooke St. W. Montreal, QC, H3A 2K6 Canada Phone: 514-398-4086 ext. 00908 Fax: 514-398-3185 Email: daniel.berner at mail.mcgill.ca

Hello, I have been asked to help perform a meta-analysis with individual- and aggregate-level data. I found a nice article on this, and the idea is easy to understand: use a mixed effects models, but for the studies where there is only aggregate level data, force the variance to be that which was observed. Unfortunately, I am struggling to see how to implement this in R. I am familiar with

Hello, I need to perform a mixed-model (with nesting) MANCOVA, using Type III sums of squares. I know how to perform each of these types of tests individually, but I am not sure if performing a mixed-model MANCOVA is possible. Please let me know. Erika <>< <>< <>< <>< <>< <>< <>< Erika Crispo, PhD candidate

Hi again, I've just uninstalled R2.01 and installed the new R2.10 on my WindowsXP machine. I then attempted to install the vegan package from source files, as I learned to do last week, with the help of some of you. I have updated my path variable to the new R directory (R/rw2010/bin instead of R/rw2001pat/bin), and I've still got the HTMLHelpWorkshop files installed, as well as Perl

Hi, I'm having some problems installing packages from the source files on Windows, using R CMD INSTALL pkg. I'm running WindowsXP, and I've followed the instructions as per the README.packages file from the R installation. I ran into a hitch, with the install failing following a "hhc: not found" warning. I figured out that this was related to the html help workshop.

Dear all, I'm trying to create my own package by following for instance http://epub.ub.uni-muenchen.de/6175/2/tr036.pdf In step 6 (page 19) it says that the command 'R CMD build <mypackage>' should result in a tar.gz file. However, after running the command I end up with a tar file only (no gz extension). I also get the following warnings in the command prompt C:\Program

Dear R users, I m quite a novice in using R for factor analysis and I would need some help to choose the right function. I have a contingency table and I would like to perform a Correspondence analysis on this table, followed by a hirarchical clustering of my variables projected in on the first principal components. Here are my question : - what is the more appropriate function to do so ...

Hello everybody I am trying to extract some observations from a data frame, ie the subjects that belong to a given group, and although t-test etc work if I try to obtain the number of subjects in the subgroup i get some funny numbers. All the subjects with NA for group are included in the subgroups 'group==1' etc. Is this a bug? for example in Windoze R : Copyright 2001, The R

Yo Andrew! What version of Openssh are you trying? RGDS GARY On Mon, 12 Jun 2000, Andrew McGill wrote: > Date: Mon, 12 Jun 2000 15:26:53 +0200 > From: Andrew McGill <andrewm at datrix.co.za> > To: djm at ibs.com.au > Cc: gem at rellim.com > Subject: Openssh on SCO Openserver Release 5 > > Hi there > > Your e-mail address appears in the README for openssh,

I've downloaded R for windows (9.0.1) and it is great! I've converted all my lecture notes for my GLM course to run on R (they are available on my web page below). I must admit I particularly like the default contrast options, which are identical to GLIM. Also I like the gl function - very useful! I have a couple of questions/bugs: 1. predict.glm doesn't work, but predict.lm does -

I would like to obtain a crosstabulation of means(var, quantiles...) i.e. I have a data frame with Var-i, Var-j, Var-k, Var-X, var-Y I like to have the mean of Var-X for each combination of Var-i,Var-j. One solution would be: by(var-i,Var-j,mean(Var-x)) but I would like it better formatted and with mean,S.Dev,n for each cell? Does anybody have some function to do this or some ideas how to go