similar to: R-beta: memory

The function tapply is not working in the Windows version of R=20 (Version 0.50 Beta (Sept 29, 1997)) In tapply <- function (x, INDEX, FUN=3DNULL, simplify=3DTRUE, ...)=20 ... The part: if (simplify && all(unlist(lapply(ans, length)) =3D=3D 1)) { ans <- unlist(ans, recursive =3D FALSE) names(ans)<-namelist[[1]] return(ans) } should be replaced by if (simplify

HI, I am a studient, so don't be surprise if my question seems so simple for you... I have a dataframe with 6 qualitative variables divided in 33 modalities, 2 qualitatives variables and 78 lines. I use a glm to know wich variables have interactions... I would like to know if its normal that one (the first in alphabetical order) of the modalities of each qualitatives variable doesn't

Hi, We just ran up against a "Memory exhausted" error trying to manipulate a 7Mb data file on R 0.61.1 FreeBSD-2.2.5, so I checked the manpage and discovered the "-v" option. However, I can only run "R -v 11". Anything higher gives the following: > R -v 12 R : Copyright 1998, Robert Gentleman and Ross Ihaka Version 0.61.1 Alpha (January 12, 1998) [...startup

Using Rseptbeta for Windows 95 I encountered this problem: > library(mva) > data(quakes) > dist(quakes) Error: memory exhausted I'm using a pentium 133 with 32 MB ram memory! What I must to do? Thanks and excuse me for my english! Andrea Rossetti, rossetti at stat.unipg.it _______________________________________________________ Statistica & Informatica per la Gestione delle

Hi, I'm a very new user of R and I hope not to be too "basic" (I tried to find the answer to my questions by other ways but I was not able to). I have 12 response variables (species growth rates) and two environmental factors that I want to test to find out a possible relation. The sample size is quite small: (7<n<12, depending on each species-case). I performed a

I have just uploaded the package "stable-0.1.tgz" to the contrib section of CRAN. It enables to compute the density ('dstable'), the distribution ('pstable'), the quantile ('qstable') and the hazard ('hstable') functions of a stable variate. 'stable.mode' computes the mode of a stable distribution. The procedure 'stableglm' also enables

Dear R users we're having a problem reading a largish data file using read.table(). The file consists of 175000 lines of 4 floating pt numbers. Here's what happens: > dat_read.table('sst.dat') Error: memory exhausted (This is line 358 of src/main/memory.c). Cutting down the file to around 15000 lines allows read.table() to work OK. I edited the memory limits in Platform.h

I guess I understand it now (although it is surprising to me). The following is a valid model formula fred ~ wilma + offset(barney) that sets the model offset to barney. Given that this works, it would seem that one could remove the offset = argument from the glm call (and document the offset feature somewhere). Too bad that one can't set weights the same way. The anova bug when offsets

I have one hundred and six independent variable that I would like to preform a correlation analysis on. Is there anyway to only get the values that are abolute value 0.6 or greater. thanks -- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is

I have a small problem. I am running glm() in R-0.61.0 on Redhat 4.2. I want to get the standard errors from the output. If I do out <- glm(....) summary(out) I get the coefficients printed as well as their correlation matrix. If I do out$coefficients I get the coefficients out$fitted gives me the fitted values I can then assign the fitted values or the value of the estimated

Hi, I had some trouble compiling the new R version on my Alpha: make[2]: Entering directory `/usr2/local/R/src/graphics' cc -ieee_with_inexact -O -Olimit 2000 -I/usr/local/include -I../include -c gdevice.c cc -ieee_with_inexact -O -Olimit 2000 -I/usr/local/include -I../include -c graphics.c cc: Error: graphics.c, line 808: An unexpected newline character is present in a string literal.

Hi, I had some trouble compiling the new R version on my Alpha: make[2]: Entering directory `/usr2/local/R/src/graphics' cc -ieee_with_inexact -O -Olimit 2000 -I/usr/local/include -I../include -c gdevice.c cc -ieee_with_inexact -O -Olimit 2000 -I/usr/local/include -I../include -c graphics.c cc: Error: graphics.c, line 808: An unexpected newline character is present in a string literal.

Hi, I'm still trying to figure out that GLM procedure in SAS. Let's start with the simple example: PROC GLM; MODEL col1 col3 col5 col7 col9 col11 col13 col15 col17 col19 col21 col23 =/nouni; repeated roi 6, ord 2/nom mean; TITLE 'ABDERUS lat ACC 300-500'; That's the same setup that I had in my last email. I have three factors: facSubj,facCond and facRoi. I had this pretty

While runing R1.3.0 on a Win95 machine, a process has produced the following error: Error: vector memory exhausted (limit reached?) In addition: Warning message: Reached total allocation of 47Mb: see help(memory.size) Lost warning messages Now I cannot save the work (not too bad, I had used save.image() just prior to launch the process), but cannot quit the program: > save.image() Error:

I find that read.table cannot handle large datasets. Suppose data is a 40000 x 6 dataset R -v 100 x_read.table("data") gives Error: memory exhausted but x_as.data.frame(matrix(scan("data"),byrow=T,ncol=6)) works fine. read.table is less typing ,I can include the variable names in the first line and in Splus executes faster. Is there a fix for read.table on the way?

Dear All, The std. error of the estimated coefficients obtained by the summary.lm function can be calculated as: y=rnorm(20) x=y+rnorm(20) fit <- lm(y ~ x) summary(fit) sqrt( sum(fit$resid**2)/fit$df.resid * solve(t(model.matrix(fit))%*%model.matrix(fit)) ) Is posible calculate Std. Error for glm as lm, using cov(hat beta) = phi * solve(t(X) %*% hat W %*% X)^-1 on R? Who is hat W and

Hi I always have following error message when I try to read a big ascii-file: > inzp<-read.data() > Error: heap memory (1953 Kb) exhausted [needed 0 Kb more] read.data() is a small function that reads the ascii-file. When I cut the ascii-file to a small one I don't have this problem. Can I extend this 'heap memory' for reading big data files? How? I'm working with R on a

Hi all, I know that I can do a backup using doveadm: doveadm backup -u user ssh backup.server doveadm dsync-server -u user But it's possible to use replicator service to do the same job? Or dsync with replicator can only be used in a two-way environment? Thanks, Muriel

Hello I have a question about the error: vector memory exhausted (limit reached?). I have the R-studio version 4.0.3 (2020-10-10). I have a MacBook Air (13-inch, 2017). I am trying to open a dataset file ?data_dta? through the import dataset ?file from stata? button. I already did this with other datasets, and this works fine. Now, I want to work with a bigger dataset of 4.08 GB. When I try to

Hi, I'm totally new to R so I apologise for the basic request. I am looking at the incidence of a disease over two time periods 1990-1995 and 2003-2008. I have counts for each year, subdivided into three disease categories and by males/females. I understand that I need to analyse the data using poisson regression and have managed to use the pois.daly function to get age-sex adjusted rates and