similar to: Windows binary version of port_0.1-1 available

Hi, df <- read.table("data.txt", header=T); library(nls); fm <- nls(y ~ a*(x+d)^(-b), df, start=list(a=max(df->y,na.rm=T)/2,b=1,d=0)); I was using the following routine which was giving Singular Gradient, Error in numericDeriv(form[[3]], names(ind), env) : Missing value or an Infinity produced when evaluating the model errors. I also tried the

Esto es un poco fuera del t'opico, pero debe interesar a usuarios de R. Ha aparecido un nuevo lenguaje, julia, mire http://julialang.org/ que puede ser usado para an'alisis estad'isticos. Douglas Bates (famosos por nlme, lme4) ha dicho que eventualmente puede reemplazar a R!, mire: www.stat.wisc.edu/~bates/JuliaForRProgrammers.pdf Interesados pueden mirar aqui!

Martin Maechler <maechler@stat.math.ethz.ch> writes: > This caused 3 postings (1 to R-help, 2 to R-devel) to be aborted. > For some reason, it also seems majordomo did not save the postings in > a 'dead.letter' or something. > So could you please re-submit them? > These are the sendmail entries: > Sep 17 21:14:21 .. sendmail[9364]: VAA09363:

Dear Dr. Bates I replied to your email before but apparently it didn't make it so I am replying again. I would really appreciate if you could send me an example on how you suggest to build a cell means model for fixed effects using the NLME library. I am not sure whether you suggest to create a separate factor for each unique combination of levels of a factor or whether you suggest to

The Rows function which is called from plot.compareFits in the nlme package is not found. > plot(compareFits(coef(bp.model3),coef(bp.model3M))) Error in plot.compareFits(compareFits(coef(bp.model3), coef(bp.model3M))) : couldn't find function "Rows" > Can I find it elswhere? Have I missed a required package? Thanks Ross Darnell > library(help=nlme) nlme

Dirk's mail to r-devel bounced because of his peculiar return address. He asked me to forward this for him. P.S. I have tried building R with atlas2 on a Debian GNU/Linux 2.2 system but I have not yet managed to out-fox the configure script to get it to use the desired shared object library. -- Douglas Bates bates@stat.wisc.edu Statistics Department

So this is on Windows, then? This is documented somewhere (don't remember): If the package is not located under $R_HOME/library, then the html help will not be able to find it. Don't think there's a known work-around. Cheers, Andy > From: byandell@wisc.edu > > I did that. In fact the default uses .libPaths()[1], which I > have set to >

Hello all, Using Ubuntu 9.04 and R 2.8.1. For a project I need to use the Zelig package, which in turn wants to use the lme4 package. When trying to use Zelig and it tries to its required packages I get the following error message. Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_start' not provided by package 'Matrix' Error in loadModelDeps(model) :

As described below, external network connections to the campus of the University of Wisconsin - Madison will be either inaccessible or slow from 20:00 CST 2000/01/03 until 01:00 CST 2000/01/04. CST is our local time zone: Central Standard Time in North America. These local times correspond to 04:00 - 07:00 GMT Tuesday 2000/01/04. This planned outage will affect the r-project.org, omegahat.org,

I am trying to install a library for my linear models class. (The name "st849" comes from the course identification, Statistics 849.) # R INSTALL st849 Installing package `st849' ... funs data help >>> Building help index for package `st849' ... done. >>> Building help pages for package `st849' NONE:0: m4: ERROR: EOF in argument list RWC

I did that. In fact the default uses .libPaths()[1], which I have set to "P:/stat/yandell/public/statgen/R" The package installs fine. However, the HTML search is not done properly. Again, the break occurred after installation of the package, when make.search.html() was invoked. Brian On Thu, 11 Mar 2004, Douglas Bates wrote: > Brian Yandell <byandell@wisc.edu> writes: >

I am embarrassed to have to ask this but can anyone tell me of a Tukey multiple comparisons procedure available for R? I have looked through the search page, through the FAQ, and in the index of V&R (1999), and I still can't find such a thing. I see there is a ptukey function and a qtukey function but that is as far as I got. Do I need to roll my own? -- Douglas Bates

Hello friends, I would like to thank you all for your advices. Rcmdr is gread. All the best, Mehdi ********************* Mehdi Zarrei, PhDPostdoctoral fellowUniversity of Toronto Dept. of Ecology & Evolutionary Biology Royal Ontario Museum Department of Natural History Green Plant Herbarium (TRT) 100 Queen's Park Toronto, On., M5S 2C6, CanadaE-mail:

Hi! I want to convert S-Plus 6.2 code to R 2.1.0. Instead of the function nlminb I use the function optmin optmin(start,fn,gr,method="L-BFGS-B", lower, upper, hess,...) But then I get the Error in optmin ...: L-BFGS-B needs finite values of fn Then I used optmin(start,fn,gr,method="BFGS", hess, ...) But then I get the Error in optmin ...: initial value in vmmin is not

//Referring to the response posted many years ago, copied below, what is the specific criterium used for singularity of the gradient matrix? Is a Singular Value Decomposition used to determine the singular values? Is it the gradient matrix condition number or some other criterion for determining singularity? // //Glenn // / / /> What does the error 'singular gradient' mean

1) I installed the latest ESS (Emacs Speaks Statistics) beta release on a machine running Linux. Since there is no S-PLUS product for Linux, I set the ess-site.el file for R, xlisp-stat, and S version 4. I.e., ;; (1.5) Require the needed dialects for your setup. ;;(require 'essd-s+3) (require 'essd-r) (require 'essd-xls) ;;(require 'essd-sas) ;;(require 'essd-s3) ;;

Following the Indomethicin example in Pinheiro & Bates, chapter 6, page 277 etc, coming to the following comand: fm2Indom.nlme <- update( fm1Indom.nlme, random = pdDiag(A1 + lrc1 + A2 ~ 1) ) debugging nlme gives the following output: Browse[1]> n debug: modelResid <- ~eval(model, data.frame(data, getParsNlme(plist, fmap, rmapRel, bmap, groups, beta, bvec, b, level,

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

I have been packaging both R and the R contributed libraries for the Debian GNU/Linux operating system. Right now if anyone installs Debian Linux on an Intel machine or a DEC Alpha they will have the option of installing R as a regular part of the operating system. I think this is a good way of getting wider distribution of high quality statistical software. The Linux community is growing