search for: iviss

...t) { int x=INTEGER(nt)[0]; Rprintf("x: %d \n", x); SEXP ans; PROTECT(ans=allocVector(REALSXP,1)); REAL(ans)[0]=0; Rprintf("init ans: %f \n",REAL(ans)[0]); UNPROTECT(1); return(ans); } Which compiles without problems into a shared library a1648:~ ivisser$ R CMD SHLIB -l /Users/ivisser/Documents/projectsCurrent/dmm4Project/rfromc/ /Users/ivisser/Documents/projectsCurrent/dmm4Project/rfromc.c gcc-4.0 -arch ppc -I/Library/Frameworks/R.framework/Resources/include -I/Library/Frameworks/R.framework/Resources/include/ppc -I/usr/local/include -fPIC -f...

Dear All, When installing the Ruuid package (from Bioconductor) from sources on my MAC (OS X 10.3.5, R version 2.0.0) I get the following errors: m00245:~ ivisser$ R CMD INSTALL -l /Users/ivisser/Library/R/library/ /Users/ivisser/Desktop/Ruuid * Installing *source* package 'Ruuid' ... loading cache ./config.cache checking for glib-config... no checking how to run the C preprocessor... (cached) cc -E checking for /usr/include/unistd.h... (cached) y...

...om 2 to 2. Using for loops etc this is of course no problem, but I am curious whether there is a smarter solution. Any hints appreciated, Ingmar -- Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15, room 1009 1018 WB Amsterdam The Netherlands http://users.fmg.uva.nl/ivisser/ tel: +31-20-5256735

Hi, When running R CMD check I'm getting a number of errors that I don't quite follow and don't know where to start looking for an answer, any hints appreciated. R CMD check trunk * checking for working latex ... OK * using log directory '/Users/ivisser/Documents/projects/ depmixProject/depmixNew/rforge/depmix/trunk.Rcheck' * using R version 2.6.2 (2008-02-08) * checking for file 'trunk/DESCRIPTION' ... OK * this is package 'depmixS4' version '0.1' * checking package dependencies ... OK * checking if this is a source...

...y specific. If you want general linear constraints on your parameters, ie linear combinations of parameters summing to some value, constrOptim may be of help. hth, ingmar Ingmar Visser Developmental Processes Research Group Department of Psychology University of Amsterdam http://users.fmg.uva.nl/ivisser/ -----Original Message----- From: r-help-bounces at stat.math.ethz.ch on behalf of Tom Stone Sent: Mon 7/26/2004 4:57 PM To: r-help at stat.math.ethz.ch Subject: [R] choosing constraints for function optim method="L-BFGS-B" whenthey are in terms of other parameter values I have a f...

...ther the output suffers from this but it does create a problem with R CMD check because tex produces a warning/error there. any hints are welcome, ingmar -- Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15, 1018 WB Amsterdam The Netherlands http://users.fmg.uva.nl/ivisser/ tel: +31-20-5256735

-- R Help List -- I am looking for a bivariate normal cdf routine in R. I have some fortran routines for this, which appear to be based on 15-point quadrature. Any guidance/suggestions on making these in loadable R-functions would be appreciated. Thanks, Dan =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Daniel A. Powers, Ph.D. Department of Sociology University of Texas at Austin

Dear all, does anyone have r code to perform model-averaging of regression parameters by Akaike weights, and/or to do all-possible-subsets lm modelling that reports parameter estimates, AICc and number of parameters for each model? I have been looking for these in the archive but found none. (I am aware that many of you would warn me against these methods advocated by Burnham and Anderson

Dear R community, I am looking for an R package or other software to study hidden Markov models. I need to be able to incorporate multivariate emissions and covariates for the transition probabilities. The msm package seems almost perfect for my purpose, but I do not think it allows multivariate emissions. I will be grateful for your suggestions. All the best, -- Emilio A. Laca One

...ating the Rd2.tex files and then copying and pasting into the vignette source is quite tedious. In short, is there a faster way of doing this? best, ingmar -- Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15, 1018 WB Amsterdam The Netherlands http://users.fmg.uva.nl/ivisser/ tel: +31-20-5256735

...ned optimization? If it is not there, could anyone advise me which way to go? And/or point me to packages that solve these problems partially? best, ingmar -- Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15, 1018 WB Amsterdam The Netherlands http://users.fmg.uva.nl/ivisser/ tel: +31-20-5256735

Kia ora I'm a using lme (from nlme package) with data similar to the Orthodont dataset and am getting positive log-likelihoods (>100). This seems usual and I wondered if someone could offer a possible explanation. I can supply a sample dataset if requested, but I feel almost certain that this question has been asked and answered recently. However, I can find no trace of it in the mail

Hi. I'm trying to plot the ratio of used versus unused bird houses (coded 1 or 0) versus a continuous environmental gradient (proportion of urban cover [purban2]) that I would like to convert into bins (0 - 0.25, 0.26 - 0.5, 0.51 - 0.75, 0.76 - 1.0) and I'm not having much luck figuring this out. I ran a logistic regression and purban2 ends up driving the probability of a box being

Hi AlL, I ahve this problem that my objective function is discontinous in the paramaters and I need to use methods such as nelder-mead to get around this. My question is: How do i compute standard errors to a problem that does not have a gradient? Any literature on this is greatly appreciated. Jean,

I am trying to generate kmean of 10 clusters for a 165 x 165 matrix. i do not see any errors known to me. But I get this error on running the script Error: empty cluster: try a better set of initial centers the commands are M <-matrix(scan("R_mutual",n = 165 * 165),165,165,byrow = T) cl <- kmeans(M,centers=10,20) len = dim(M)[1] .... .... I ran the same script last night and