similar to: .Rdata questions

Dear all, Many thanks to all who always so quickly respond with helpful hints! Currently I am working with R 0.63.1 on SuSE 5.2 which I installed this morning within about half an hour: my deepest compliments to the developpers! (I had still 0.62.2 before.) This time I am trying the following: > xy <- list (a= c (1, 2, NA), b= c (2, 3)) > list.name <- "xy" > get

Dear all, well, today I just seem to run into these problems ... (I am still working on R 0.63.1 on a SuSE 5.2). I would like to have a data.frame that also contains character (and NOT factor) vectors. Two things that I tried (the second worked in R 0.62.2): > test.df <- data.frame (X= character (4)) > test.df$X [1] <- "a" Warning: invalid factor level, NAs generated or:

Dear all, is this a bug or do a miss something (this concerns version 0.63.1 on Linux)? > boxplot (c (1, 2, 3, 4, 5), ylim= c (-5, 5)) Warning: parameter "ylim" couldn't be set in high-level plot() function > boxplot (c (1, 2, 3, 4, 5), pars= list (ylim= c (-5, 5))) Warning: parameter "ylim" couldn't be set in high-level plot() function > and actually in

Dear all, The following works with a simple result of lm but gives the error with a more complicated one (could this be due to singularities that occurr in the model?). > cooks.distance (X) Error: NAs in foreign function call (arg 6) > class (X) [1] "lm" But, actually, I would like to ask a more general question: Is there a place (I searched in the CRAN site) where I find

Dear all, I think this question has been raised very recently but I think I didn't see repsonses on the list nor did I find the thread in the archives. (If it is there I'd appreciate directions ...) I am about to install Linux on a Compaq notebook. One important thing I want to do is being able to run R. I have fiddled with different distributions of Linux (LST, SuSE, Debian) and can

Dear all, I am working with R Version 0.62.2 (July 10, 1998) on a SuSE Linux 5.2. I have troubles in understanding the function image (). Can someone enlighten me? I'd like to draw a square image-plot (with every little part of the image a square as well) and add some (straight) lines to it. Also, I create an empty z matrix which I need to fill step by step. Thus I tried to find out how

Dear all, I would like to fit an lm in which a subset of the explanatory variables are linearly dependent. Thus I would like to include the restriction that all betas of these variables sum to 1. Is there a way to this in R? Or is this what happens automatically if I set singular.ok= T (which is the default, I believe)? Thanks for your help. Lorenz --

Dear all, I am trying to use ace on a 446 x 14 Matrix, with two categorical variables in the first two columns. If I try to run it I get: > aceiH <- ace (data.mat, resp, cat= 1:length(x.cat)) Error: NAs in foreign function call (arg 3) There is only one .Fortran call in ace () with the third argument being x = t(x). Thus I tried to debug ace, i.e. I went through ace until just before

Dear all, I don't get it: First of all, the help doesn't say what are the memory limits of R. Say, what's the max heap size for instance ???? Secondly, I invoke R with the following commands each time: rgui --vsize 30M --nsize 1000K rgui --vsize 30M --nsize 2000K rgui --vsize 30M --nsize 3000K rgui --vsize 30M --nsize 4000K I try to open a matrix 8000x8000 by issuing

My group is working with datasets between 100 Mb and 1 GB in size, using multiple log ins. From the documentation, it appears that vsize is limited to 2^30-1, which tends to prove too restrictive for our use. When we drop that restriction (set vsize = NA) we end up hanging the server, which requires a restart. Is there any way to increase the memory limits on R while keeping our jobs from

Hi everyone, I have a problem that some people may have already encountered but i did not find the solution yet. As I use R to simulate several arrays of data, my workspace is now 35Mb big and I cannot launch R with it. An "xdr real data read error occured" and R tells me to delete .RData or increase memory. I WON'T delete this file and changing the max-nsize to 40600k did not

Dear R-ers, somehow it is not possible to increase nsize to more than 20000k. When I specify e.g. > R --vsize=10M --nsize=21000K the result is: free total (Mb) Ncells 99658 350000 6.7 Vcells 1219173 1310720 10.0 Maybe I have overlooked s.th.... Marcus -- +------------------------------------------------------- | Marcus Eger | E-Mail: eger.m at gmx.de (NEW) |

Hi Folks, I loaded a couple of quite large data sets into an R session and then quit (after saving the image). Now I get: Error: a read error occured Fatal error: unable to restore saved data (remove .RData or increase memory) after trying to start my R session using something like: R --vsize XXX --nsize 1000000 For any value of XXX (I went up to 300 or 400, which is as high as I could go.

Dear R-users, I am trying to run some simulations in batch mode. In an older version of the program, I used rterm --vsize=100M --nsize=5000K --restore --save <input file> output file, however, in the new version R 2.2.0 , the parameters vsize and nsize are ignored. I can use the command memory.limit to increase memory, but I am not sure if this corresponds to vsize and nsize.

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

Hi, Is the following command used to increase the memory or any other command when a background R job is run? R --min-vsize=vl --max-vsize=vu --min-nsize=nl --max-nsize=nu --max-ppsize=N source: http://stat.ethz.ch/R-manual/R-patched/library/base/html/Memory.html Thx Carol [[alternative HTML version deleted]]

Let me begin stating that I read all help files and faq's on the subject matter (there aren't more than about a dozen) but either did not find solutions or found them not to work. Here is the issue. I am trying to run a spatial regression on a medium-sized dataset. Part of the functions in the spdep package I use require me to allocate a vector of 1.1 Gb (mine is not a spatial SIG

Hello- Since my data bank in SPSS has > 40 variables, I think that R crashes because of the memory limit. In Maindonald?s UsingR text, on pg 3, there?s a footnote that reads: "If you want larger memory space than the default you may want a target akin to <path to binary>\rw091\bin\rgui.exe --visize 30M --nsize 1000K [The default is --vsize 6M --nsize 250K

Dear All, I am running R version 0.65.0 under a) Suse-Linux 6.1, and Suse-Linux 6.2, compiler gcc-2.95, CPUs pentium pro 200, 128MB, and pentium II 450, 128MB b) Solaris 5.7, compiler gcc-2.95, cpu SUN sparc, 4000MB When I set --nsize to more than 1M, R's internal storage management runs havoc. gc() indicates the requested sizes, but the overall process size is much too big: Running R with

I am trying to upload into R 143 Affymetrix chips onto using R on the NIH Nimbus server. I can load 10 chips without a problem, however, when I try to load 143 I receive a error message: cannot create a vector of 523263 KB. I have expanded the memory of R as follows: R --min-vsize=10M --max-vsize=2500M --min-nsize=10M -max-nsize=50M (as specified in help in R). After running this command the