similar to: Fatal error: invalid home drive

Full_Name: Sven Sandin Version: 2.0.0 OS: SuSE Linux 9.0 Submission from: (NULL) (81.227.17.135) Have just compiled and installed R-2.0.0.tar.gz running SuSE9.0. The function vcov do not accept "coxph" object as input any longer. The same R-program running R1.9.1 do work. R-program attached below. Exporting the coxph object from R2.0.0 to R1.9.1 I get vcov ouput in R1.9.1. Exporting

Hi! Concerning different behaviour between 1.9.1 patched and: R : Copyright 2004, The R Foundation for Statistical Computing Version 2.0.0 Under development (unstable) (2004-09-06), ISBN 3-900051-07-0 Subtitle: as(x,"vector"); x is of class "Massvector"; never enters setAs("Massvector","vector"... The same code: as(mvl[[1]],"vector") causes

I've been successfully using a dll via dyn.load() with R1.6.0 for Windows, but when I try it under R1.6.1 it manages to crash the program completely. Has there been a change in how R1.6.1 handles dynamic loading? I couldn't spot any such changes in the documentation. This problem occurred on two different machines, and both run the code under R1.6.0 without a problem. Rob Hyndman

Hi! I am trying to install the RMySQL package. The installation stops with the following error message. path to mysql is set. setenv PKG_CPPFLAGS /home/arabidopsis/software/R1.9.1/linux/mysql/include setenv PKG_LIBS /home/arabidopsis/software/R1.9.1/linux/mysql/lib R CMD INSTALL RMySQL_0.5-5.tar.gz #....cut cut. creating src/Makevars ** libs gcc

Hi I use RSvgDevice to output plot, and modify them using svg editor (inkscape or sodipodi on Linux). Some month ago, results were perfect. I did exactly the same analysis today on the same data, and unfortunatly the results are different. While looking to the svg file, it seems that all information concerning "fill" and "stroke" of objects are lost. The consequence is that

Hallo! I read SPSS data in the following way: library(Hmisc) library(foreign) dat<-spss.get("surv_abb.sav") In R1.9.1 I got the message: "Error in all(arg == choices) : Object "typeDate" not found" In R1.8.0 the same script works fine. Does anybody know a possibilty to read a SPSS file under R1.9.1? Thanks! Karl

This is a summary and extension of the thread "GLMM (lme4) vs. glmmPQL output" http://maths.newcastle.edu.au/~rking/R/help/04/01/0180.html In the new revision (#Version: 0.4-7) of lme4 the standard errors are close to those of the 4 other methods. Thanks to Douglas Bates, Saikat DebRoy for the revision, and to G?ran Brostr?m who run a simulation. In response to my first posting, Prof.

Hello, I ran my simulations on the Unix verson of R1.9.1 and the Windows version of R2.0.1 on XP. I kept getting different values for the mean of the same column of the same matrix, and am perplexed. I would appreciate if anyone could help explain the difference? Here is a sample code: set.seed(7293) z1v <- rnorm(1000, mean=68, sd=13) z1v <- (z1v-mean(z1v))/sd(z1v) Using R1.9.1 on Unix,

Hi, I have troubles getting RWinEdt with the R2.0.0 Version startet. Do I have to install a different version of RWinEdt or WinEdt? I have RWinEdt 1.6.1 and WinEdt 5.3. Thanks Anna Hennig

R Users - I asked about this a few months ago and never did quite figure it out, so with more information, allow me to try again. If I use the following code: library(xml) xmlTreeParse("http://home.comcast.net/~larsenmtl/xmlTestDoc.xml", isURL = TRUE) I receive this error: Error in xmlTreeParse("http://home.comcast.net/~larsenmtl/xmlTestDoc.xml"", : error in

Hello, I have a problem concerning estimation of GLMM. I used methods from 3 different packages (see program). I would expect similar results for glmm and glmmML. The result differ in the estimated standard errors, however. I compared the results to MASS, 4th ed., p. 297. The results from glmmML resemble the given result for 'Numerical integration', but glmm output differs. For the

I'm trying to use GLMM in library(lme4), R 1.9.0pat, updated just now. I get an error message I can't decipher: library(lme4) set.seed(1) n <- 10 N <- 1000 DF <- data.frame(yield=rbinom(n, N, .99)/N, nest=1:n) fit <- GLMM(yield~1, random=~1|nest, family=binomial, data=DF, weights=rep(N, n)) Error in eval(expr, envir, enclos) : ..1 used in an incorrect

Hi all, I am doing some intensive computation right now. My system is Pentium4 3.20G + 1.0G RAM + WindowsXP + R1.9.1. It seems my computer is very powerful. However, when I do some simple matrix algebra operations based on a matrix (DD) with dimension 5000000 by 2, I found that the consumption of RAM is huge. For example, the command a <- 1 - DD[,2] eats my 100M RAM. Does anyone know how

Hi all. After upgrading to R2.0.1 i get > "??" [1] "??" > "??" [1] "\370" > "??" [1] "??" Whereas under R1.9.1 i get > "??" [1] "??" > "??" [1] "??" > "??" [1] "??" Any hints apreciated. Steen Steen Ladelund, statistician +4543233275

Full_Name: Allen McIntosh Version: 2.0.0 OS: Linux Submission from: (NULL) (67.80.175.118) Observed the bug with the following combinations: (RedHat 7.3, R 1.6.0) (RedHat 7.3, R 1.9.1) (Redhat 9, R2.0.0). In the second plot (.png file) produced by the following sequence: png(file="x%d.png") plot(1:10,1:10,main="ooo",type="n") segments(1:9,1:9,2:10,1:9)

Hello, I am trying to compile packages for R2.0.0 patch in a win XP machine. Most of the packages compile without problems, with C or FTG or only R. Now some packeges give the following error which I do not understand how to correct ... preparing package xxx for lazy loading Error in "names <- .default"('*tmp*',value=c("R","Platform","Date", :

Hi everyone, I'm running R1.9.1 on RedHat Linux. I'm trying to read in a matrix file with 13956 by 858 dimensions. I realize this is pretty huge, though I think the amount of memory I have should be able to handle it. R reads the entire file and tells me "Read in 11974247 values". This is exactly one less value than what it should have read in (11974248 = 13956*856).

Hi R-Helpers: I?m trying to use the function GLMM from lme4 package, (R-1.8.1, Windows 98),and I get the following error: > pd5 = GLMM(nplant~sitio+ + fert+ + remo+ + sitio:fert+ + remo:sitio+ + remo:fert+ + remo:fert:sitio + data=datos, + family=binomial, +

Dear R-helpers I am running R2.0.0 under Windows 2000. I am compiling a number of file paths into a simple text file that will be read by some other software we use. Unfortunately, it can only handle file paths with back slashes (MS Windows convention), and from R, I get file paths with forward slashes. The following didn't work. > gsub('/', '\\',

I'm having trouble using binomial(link="cloglog") with GLMM in lme4, Version: 0.5-2, Date: 2004/03/11. The example in the Help file works fine, even simplified as follows: fm0 <- GLMM(immun~1, data=guImmun, family=binomial, random=~1|comm) However, for another application, I need binomial(link="cloglog"), and this generates an error for me: >