similar to: "cannot allocate vector" error message (PR#6603)

Displaying 20 results from an estimated 20000 matches similar to: ""cannot allocate vector" error message (PR#6603)"

2004 Sep 18
2
Covergence FLAG in glm (PR#7235)
Full_Name: Daniel R Jeske Version: 1.8.1 OS: Windows 2000 Submission from: (NULL) (138.23.228.79) We have just noticed that when you use glm() it seems the logical output 'converged' is always TRUE. The same data set that shows FALSE in version 1.7.1 shows TRUE in 1.8.1. And I know that FALSE is the correct answer...so it seems like we cannot trust the 'converged' flag for
2003 Nov 25
2
O2 optimization produces wrong code (PR#5315)
Full_Name: jean coursol Version: 1.7.1, 1.8.0 OS: linux & Windows-XP Submission from: (NULL) (129.175.52.7) Binary MS-Windows akima module from CRAN (1.8.0 version) produces wrong results with some data. Installing akima source in linux, with same data: -with gcc-2.95.3 -O2 : give correct results (under R 1.7.1); -with gcc-3.2.3 -O2 : give wrong results (under R-1.7.1 and R-1.8.0); -with
2003 Dec 05
1
grid packages since R-1.7.1
I'm having a spot of bother using code that worked with R-1.7.1 but will not work with 1.8.1. The beginning of the saga is with grid.polygon ostensibly not findable. One does exist in ..../R-1.8.1/library/grid/R, and when I specifically load the grid package (which probably isn't a good idea), it starts finding fault with the length of vectors being unequal. I suspect the lengths of the
2004 Apr 22
1
slower execution in R 1.9.0
I have an R function (about 1000 lines long) that takes more than 20 times as long to run under R Windows 1.9.0 and 1.8.1 than it does under 1.7.1. Profile results indicate that the $<-.data.frame operation is the culprit, but I don't understand exactly what that is (assignment of data frame elements to another variable?), or why it's only a problem under 1.8.1 and 1.9.0. Any advice?
2003 Nov 29
3
performance gap between R 1.7.1 and 1.8.0
Dear R-help, A colleague of mine was running some code on two of our boxes, and noticed a rather large difference in running time. We've so far isolated the problem to the difference between R 1.7.1 and 1.8.0, but not more than that. The exact same code took 933.5 seconds in 1.7.1, and 3594.4 seconds in 1.8.1, on the same box. Basically, the code calls boot() to bootstrap fitting mixture
2004 Mar 19
2
Moving to 1.8.1: can you transfer your package list?
I prefer to use R on a linux box and ultimately need things to end up there to serve things up using David Firth's excellent CGIwithR and apache, but one step at a time and I've installed 1.8.1 under win2k. Another question that I'm sure is simple: is there a simple way to find the list of installed libraries I had in my 1.7.1 installation and use that to drive install.packages?
2003 Nov 30
2
R as OS X Framework
After the recent discussion about future direction of the Mac OS X port, I was toying with the idea to make R a proper Mac OS X framework. There are several advantages: OS X locates frameworks automatically, therefore any program wishing to link against R has only to specify "-framework R" at link time. Furthermore versioning is supported, i.e. if a program is linked against R 1.7.1
2004 Jan 16
1
error message in plot(aov-object) -- repost
Hi all, I posted this question several days ago, but did not get any answer until now. Since I still have no clue about the source of this error message, I repost a description of the problem including some code: A student at our institute fitted an aov model, and got the following error message: > plot(p.aov) Hit <Return> to see next plot: Hit <Return> to see next plot:
2014 Sep 01
1
ggplot2/plyr interaction with latest R-devel?
I apologize in advance for not having done more homework in advance, but thought I would send this along to see if anyone else was seeing this. I am having some sort of ggplot2/plyr/very-recent-R-devel dependency issues. Just installed R Under development (unstable) (2014-09-01 r66509) -- "Unsuffered Consequences" from source. > packageVersion("ggplot2") [1]
2003 Sep 27
2
does isGeneric work differently in 1.8.0 ?
Hello, the last command (isGeneric) in following R-code (attached) produces different output, depending on wheter 1.8.0 alpha or 1.7.1 is used. Is that to be expected ? Both R Versions were started with option vanilla --------------------------------------------------- R.1.7.1: --------------------------------------------------- > version _ platform i686-pc-linux-gnu arch i686
2004 Feb 24
1
Accessing columns in data.frame using formula
Hello! I'm trying the hard way to use a formula, in a function, to specify the names of several important columns in a data.frame. Maybe I'm just battling to figure out the right search terms :-( This is on XP, R 1.8.1. So, for instance, wery[1:5,] V1 V2 V3 V4 V5 congr V7 V8 V9 ok RT 1 1 1 960 520 1483 c 1 r r 1 760 2 1 2 1060 450 3753 c 1 r r 1 555
2004 Mar 05
6
qnorm(2) ends with segmentation fault (PR#6648)
Full_Name: Xiong Guanglei Version: 1.8.1 OS: Linux Submission from: (NULL) (202.38.103.50) qnorm(x) when x>1.0
2004 Jan 09
1
pb with install
dear all, I try to update my Rversion fro 1.7.1 to 1.8.1 on linux. I have a problem when I try to install pacakges from Bioconductors with : source("http://www.bioconductor.org/getBioC.R") and getBioC(relLevel="release") somme errors append and when I make a library(affy) for example I obtain : > library(affy) Error in setIs("character",
2003 Nov 22
3
1.8.1 behavior change?
In <R 1.8.1 the following fragment worked properly, now (1.8.1) it creates the following warning/error: Any advice appreciated. stt <- data.frame() # load all datasets into a dataframe for (ds in 1:n) { stt[ds] <- as.matrix(read.table(fileList[ds])) } -- > stt <- data.frame() > # load all datasets into a dataframe > for (ds in 1:n) { + stt[ds] <-
2005 Jul 04
1
eigen of a real pd symmetric matrix gives NaNs in $vector (PR#7987)
Full_Name: cajo ter Braak Version: 2.1.1 OS: Windows Submission from: (NULL) (137.224.10.105) # I would like to attach the matrix C in the Rdata file; it is 50x50 and comes from a geostatistical problem (spherical covariogram) > rm(list=ls(all=TRUE)) > load(file= "test.eigen.Rdata") > ls() [1] "C" "eW" > > sym.check = max(abs(C - t(C))) # should
2003 Aug 13
2
scan file error (PR#3738)
Full_Name: Bart Version: 1.7.1 OS: XP Submission from: (NULL) (150.203.41.62) When trying to load microarray slides (gpr format) into R 1.7.1, I get the following error message Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : line 1057 did not have 43 elements I have been able to load the files on another computer before including an XP machine. I have
2005 Jul 04
0
eigen of a real pd symmetric matrix gives NaNs in $vector (PR#7989)
I would presume this is another manifestation of what I reported (reproduced below) on 2003-12-01. cajo.terbraak at wur.nl wrote: >Full_Name: cajo ter Braak >Version: 2.1.1 >OS: Windows >Submission from: (NULL) (137.224.10.105) > > ># I would like to attach the matrix C in the Rdata file; it is 50x50 and comes >from a geostatistical problem (spherical covariogram) >
2004 Aug 13
2
bus error /segmentation fault from 'approx' (PR#7166)
Full_Name: joerg van den hoff Version: 1.9.0 and 1.7.1 OS: MacOS (1.9.0), SunOS (1.7.1) Submission from: (NULL) (149.220.4.88) something like (sure not the originally intended input, but something like this can happen...): approx(c(1,2),c(NA,NA),1.5) crashes R (bus error under MacOS, segmentation fault under SunOS). search of the bug archive did not work. I hope this bug was not reported
2003 Jun 19
2
Shift-Return causes segfault (PR#3293)
Full_Name: Graeme Ambler Version: 1.7.1 OS: Red Hat Linux 9 Submission from: (NULL) (137.222.80.161) Typing Shift-Return in R causes a segmentation fault. I am using the Red Hat 9 RPM from CRAN.
2003 Nov 24
1
Warning calling par
Hi. I have a function that works well under R 1.7.1 But under 1.8.0 and 1.8.1 I get:Warning message: calling par(new=) with no plot And it doesnt plot The function is: mplotmeth1<-function(data1,data2,alpha,nr){ psfile<-paste("Meth1_",nr[1],"-",nr[length(nr)],".ps",sep="") postscript(psfile) close.screen(all=T) par(mex=0.73,cex=0.8)