similar to: bug? nlme 3.1-88 compilation under linx

Hi, [System info: R 1.6.1 compiled from source (no args to configure) on Redhat 7.1 Linux i/386] I have some spatial statistics programs that recently (since R 1.6.1) have generated SIGSEGV. These R programs use the splancs library as well as some C code of my own for Voronoi analysis. The program has a big loop to fit various model parameters against a spatial distribution of biological

Dear All, I have just updated R to the version 2.6.2 on F8 (with the official F8 rpm). However, when running as root the following command: update.packages(checkBuilt=T) I get a bunch of errors like the ones below. Any ideas? Thanks in advance, Paul ----------------------------------------------- * Installing *source* package 'nlme' ... ** libs gcc -m32 -std=gnu99 -I/usr/include/R

R Version 2.1.1 (2005-06-20); R Cocoa GUI 1.12 (1622); Mac OS X 10.4.2 (8C46) For nlme, the R package installer for CRAN (binaries) gives 3.1-60 as Repository Version as well as Installed Version. For CRAN (sources) it gives 3.1-62 as Repository Version and 3.1-60 as Installed Version. When I try to update nlme, I get * Installing *source* package 'nlme' ... ** libs gcc-3.3

Hi, I've got a problem that sounds a lot like this, http://r.789695.n4.nabble.com/Re-R-R-2-12-0-hangs-while-loading-RGtk2-on-FreeBSD-td3005929.html under windoze 7. but it seems to hang with this stack trace, #0? 0x77830190 in ntdll!LdrFindResource_U () ?? from /cygdrive/c/Windows/system32/ntdll.dll building goes as follows, $ ./R CMD INSTALL --no-test-load nlme_3.1-97.tar.gz *

I am trying to print a graph > plot(y=atestplot$b,x=atestplot$a, type="s") > win.print() This leads to a windows print dialog box- that diappears when i hit print. subquently i find a "GraphAppJob" of zero size in the print queue- this just sits until I enter dev.off() at which point a blank sheet is printed Is it me or is this a bug? Incidentally if i just

Dear all, I am trying to define my own corStruct which is different from the classical one available in nlme. The structure of this correlation is given below. I am wondering to know how to continue with this structure by using specific functions (corMatrix, getCovariate, Initialize,...) in order to get a structure like corAR1, corSymm which will be working for my data. Thanks in advance.

Hello All, This is my third time attempting to post this message. I don't see it in the archive, so I'm guessing it is not getting through. If I am wrong, my apologies. I am trying to do a GLS regression, (X'V^-1X)^-1X'V^-1y, using the gls() function from the nlme package. I have the covariance matrix V. I have been searching for a way to specify the correlation structure

I am unable to compile R packages from source on Ubuntu dapper/edgy. Does anybody have an experience? When I do install.packages("nlme",depend=TRUE), I get following error messages. Can someone help? I get similar messages for any package I try to compile. VR ------------- * Installing *source* package 'nlme' ... ** libs gcc -I/usr/share/R/include -I/usr/share/R/include

I installed R (R-2.4.1-win32.exe) on a new computer with Windows Vista and a 64 bit operating system (hp dv9000 with intel core t7200). The base R runs fine, but I can not get any of the packages to load. From within R I choose install packages choose a site then a package. I tried installing 2 packages and get similar errors (see below), I just copied and pasted lines from R. Can anyone

Dear people, A somewhat clueless question follows: I just discovered that the lme function in contrib package nlme for R, while similar to the lme function in Splus, does not use the cluster function option. This difference does not appear to be documented in the V&R `R Complements' file. I have data which is divided into 6 groups The lme model is of the form (simplified from the actual

dear list, I am wondering if one can find examples and/or more detailed descriptions of modifications needed when going beyond standard corStruct classes (i.e. those already provided for use in lme/nlme)? When I looked at pages 238-239 of Pinheiro/Bates (2000): Mixed-effects models in S and S-plus, I found that I would need a bit more explicit guidance what to do for implementing a new

Hi, When installing "nlme" from CRAN on Solaris 5.3.1 by doing install.packages("nlme") I get: [clip] gcc -G -o nlme.so corStruct.o gnls.o matrix.o nlOptimizer.o nlme.o nlmefit.o nls.o pdMat.o -L/usr/local/lib R data inst /usr/local/lib/R/bin/INSTALL: /bin/perl: not found help /usr/local/lib/R/bin/INSTALL: /usr/local/lib/R/bin/build-help: not found

Hello, I am moving LDAP from one domain to another We have moved off of a.wustl.edu network to b.school.edu network. I have searched vi /etc/nslcd.conf vi /etc/openldap/ldap.conf and removed all referances to "a" I restarted /etc/init.d/nscd restart this is redhat 6.7, and my ldap server is now ldap.b.wustl.edu:389 a.school.edu to b.school.edu I keep getting messages

Dear R users, I fitted a repeated measure model without random effects by using lme. I will use the estimates from that model as an initial estimates to do multiple imputation for missing values of the response variable in the model. I am trying to extract the within group correlation matrix or covariance matrix. here is my code: f = lme(y ~x0+x1+trt+tim+x1:tim +tim:trt,random=~-1|subj,

Hi, I have been using the function lme() of the package nlme to model grouped data that is auto-correlated in time and in space (the data was collected on different days via a moving monitor). I am aware that I can use the correlation classes corCAR1 and corExp (among other options) to model the temporal and spatial components of the auto-correlation. However, as far as I can tell, I can only

Dear Fellows, I would like to know how to uncompress a gz file at the R console. I could not find out any help from the R-help archive. Thanks for your great help. Best Regards, Wonsang You ----- -- Wonsang You Special Lab Non-Invasive Brain Imaging Leibniz Institute for Neurobiology http://www.ifn-magdeburg.de -- View this message in context:

Dear R-Users I have a problem accessing some values in the output from the summary of an lme fit. I fit the model below: ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + as.factor(endp), data=dat4a, random=~-1 + as.factor(endp) + as.factor(endp):Z.sas|as.factor(trials), correlation = corSymm(form=~1|as.factor(trials)/as.factor(id)), weights=varIdent(form=~1|endp)) hh

Dear fellows, I am a novice in R. I would like to combine a matrix and a vector. Assume that we have the matrix a and the vector b with same length of column. a<-matrix(seq(1:10),nrow=2,ncol=5,byrow=TRUE) a= 1 2 3 4 5 6 7 8 9 10 b<-t(c(11,12,13,14,15)) b= 11 12 13 14 15 Then, I want to combine a and b as follows. c= 1 2 3 4 5 6 7 8 9

Good day R-Users, I have a problem accessing some values in the output from the summary of an lme fit. The structure of my data is as shown below (I have attached a copy of the full data). id trials endp Z.sas ST 1 1 -1 -1 42.42884 1 1 1 -1 48.12007 2 1 -1 -1 43.42878 2 1 1 -1

On Tue, Feb 17, 2015 at 10:40 AM, Marc Dietrich <marvin24 at gmx.de> wrote: > This adds clang/gcc visibility macro detection to configure and util/macros.h. > This is can be used to conveniently add e.g. a "HIDDEN" attribute to a function. > > Signed-off-by: Marc Dietrich <marvin24 at gmx.de> > --- > v2: use VISIBILITY_*FLAGS instead of *FLAGS directly >