similar to: Error: cannot allocate vector of size xxx Mb

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000

The following cut command takes nearly 10 seconds on my machine even though the length of input vector is only 6. I am running on Windows Vista with C2D BLAS using R 2.11.1. Using the default BLAS and either R 2.10.1 or "R version 2.12.0 Under development (unstable) (2010-05-31 r52164)" also gives me results in the 9-11 second range. I would have expected it to take much less time.

Dear R experts, Suppose I have a data frame of three variables: > foo <- data.frame(row=1:5, col=1:3, val=rnorm(15)) > foo row col val 1 1 1 -1.00631642 2 2 2 0.77715344 3 3 3 0.17358793 4 4 1 -1.67226988 5 5 2 1.08218836 6 1 3 1.32961329 7 2 1 -0.51186267 8 3 2 -1.20990127 9 4 3 -0.57786899 10 5 1 0.67102887 11 1 2

Hi! In a current project, I am fitting loess models to subsets of data in order to use the loess predicitons for normalization (similar to what is done in many microarray analyses). While working on this I ran into a problem when I tried to predict from the loess models and the data contained NAs or NaNs. I tracked down the problem to the fact that predict.loess will not return a value at all

Dear All: I do see I have weeks of codes in my console when I check with my arrow up keys. I have been clearing them with Control L but it seems to clear it clear the screen temporally. I do see the previous codes again when I open R the next day, after quitting the session! Q: How do I clear this? Thanks; YA -- View this message in context:

Dear list, Can somebody tell me how to invoke user-defined functions from script files during run-time? Basically I have (almost) one function per script file. I am thinking of something like #include in C++ import in Java/Python use in Perl No, I don't need my functions every time R is started. Neither I am thinking about writing building my functions into packages. I just

Hi all, I have a large data.frame, 1530 observation with 6 columns. I want to merge a 7th column, a transformation of the response variable (hospital admissions), namely trans<-sqrt(copd$admissions+0.25) trans<-data.frame(trans) And now when I do copd2<-merge(copd,trans) (copd being my original data.frame), R either crashes or is taking an extremely long time to do the computation. I

Dear ExpeRts, I am trying to plot a bunch of growth curves and would like to get some more control over groups and line colors than I seem to have. Example: # make some data dat <- Orange dat$group <- ifelse(dat$Tree%in%c('1','4','5'), 'A', 'B') # plot xyplot(circumference~age, dat, groups=group) # now use lines to make the growth curve more

I have the following statement mock_requester.should_receive(:request_with).with ("x").any_number_of_times.and_return(@object) which works fine, but when i do it backwards, which makes the same amount of sense syntactically, it fails mock_requester.should_receive(:request_with).with("x").and_return (@object).any_number_of_times are all of the mock options

Dear All, I'm trying to read a text data file that contains several records separated by a blank line. Each record starts with a row that contains it's ID and the number of rows for the records (two columns), then the data table itself, e.g. 123 5 89.1791 1.1024 90.5735 1.1024 92.5666 1.1024 95.0725 1.1024 101.2070 1.1024 321 3 60.1601 1.1024 64.8023 1.1024 70.0593

The following script is written by the author of a book on R--Andy Field: You can also download the small datafile, hiccups.dat, from this address: http://www.sagepub.com/dsur/study/articles.htm The script: hiccupsData <- read.delim("Hiccups.dat", header = TRUE) hiccups<-stack(hiccupsData) names(hiccups)<-c("Hiccups","Intervention")

Hello all, I'm trying to create a 2x2 matrix, 32 times after unlist() so that I can convert the list to matrix. I've looked through the R archive but couldn't find the answer. There is what I've done. > f <- system("ls *.txt", intern=TRUE) > x <- lapply(f, read.table) > x [[1]] V1 V2 1 -27.3 14.4 2 29.0 -38.1 [[2]] V1 V2 1 14.4

Hello, Can anyone tell me how to label individual bars on a barplot? I want to put an "*" or letter ABOVE the bar to denote statistical significance. Is this possible and how? Thanks, Suzanne __________________________________________________________________ McAfee VirusScan Online from the Netscape Network. Comprehensive protection for your entire computer. Get your free trial

Hi, I was wondering whether there was an easy way to change the attributes of all elements in a data.frame (rather than looping through elements)? Specifically, I would like to set the "dim" attributes to NULL Thanks for any help, Jarrod -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

Hi R-experts! Every once in a while I need to convert a factor to a vector of numeric values. as.numeric(myfactor) of course returns a nice numeric vector of the indexes of the levels which is usually not what I had in mind: > v <- c(25, 3.78, 16.5, 37, 109) > f <- factor(v) > f [1] 25 3.78 16.5 37 109 Levels: 3.78 16.5 25 37 109 > as.numeric(f) [1] 3 1 2 4 5 > What I

This may be asking too much, but I'm wondering if anyone has a solution (even a hack) for creating multiple (overlay) plots in an Sweave file and post-processing the overlays in beamer appropriately. For example, suppose I have a series of figure blocks in my .Rnw file: <<plot1,fig=TRUE>>= [stuff] @ <<plot2,fig=TRUE>>= [stuff] @ <<plot3,fig=TRUE>>=

Hi to all, how could I to rotate automatically a data sheet which was imported by read.xls? x1 x2 x3 .... xn y1 1 4 7 ... xn/y1 y2 2 5 8 .... xn/y2 y3 3 6 9 ....xn/y2 yn ... ... ... Xn/Yn to y1 y2 y3 .... yn x1 1 2 3 ..... Yn/x1 x2 4 5 6 .... Yn/x2 x3 7 8 9 .... Yn/x2 xn ... ... ... ..... Yn/xn Kind regards Knut

I have a 64-bit windows box - Intel Xeon CPU E7340 @ 2.4GHz 31.9GB of RAM I have R 2.11.1 (64bit) running on it. My csv data is 3.6 GB (with about 15 million obs, 120 variables.) ------------------------------------------------ I have successfully imported the data above into R. No problem. Now I am trying to run 'rpart' on my data. But I got the following error : Error: cannot

If I only want axis labels on the left and bottom I can set alternating=F like in the following example: Depth <- equal.count(quakes$depth, number=8, overlap=.1) xyplot(lat ~ long | Depth, data = quakes, scales=list(alternating=F) I also would like to get rid of the unlabeled tick marks (top and right). How can I do that? cu Philipp -- Dr. Philipp Pagel Lehrstuhl f?r Genomorientierte

Hi, I have been working with R for the past couple of years; analyzing data and producing some graphics. I was just wondering if people use graphics from R straight into articles or are they always edited in some way; fonts, headers, axis, color etc? Using photoshop or some other programs? I would like to think it is possible, better and more profession to do it all in R. I tried google and