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Hi, I am trying to tighten file I/O security on a process that passes a user-supplied script to R CMD Batch. Broadly speaking, I'd like to restrict I/O to a designated path on the file system. Right now, I'm trying to address this in the R environment by forcing the script to use modified versions of scan, read.table, sys.load.image, etc. I can run a replace string on the user-supplied

Hi, I've been having similar experiences and haven't been able to substantially improve the efficiency using the guidance in the I/O Manual. Could anyone advise on how to improve the following scan()? It is not based on my real file, please assume that I do need to read in characters, and can't do any pre-processing of the file, etc. ## Create Sample File

...b1-1) blocks? Are they the min and max values used, rather than the only two? If no, where does that 576 stem from? It's not even a power of 2. Thanks, Nico -- Email.it, the professional e-mail, gratis per te: http://www.email.it/f Sponsor: Le speciali Offerte di Benvenuto di Cassine di Pietra: * scopra il gusto ed i vantaggi delle tradizioni contadine * Clicca qui: http://adv.email.it/cgi-bin/foclick.cgi?mid=3924&d=17-1

Hi, I'm running R 2.4.1 on Fedora Core 6 and am unable to install the tseries package. I've resolved a few problems getting to this point, by running a yum update, installing the gcc-gfortran dependency, but now I'm stuck. Could someone please point me in the right direction? ========R install.packages output ======= ==================================

Hi, I'm new to R and would like to know, how one can populate the list with array data. I'm reading a tab separated table in R. The data in the table looks something like this. #Table Data Comp    A    B    C Extracellular    103    268    535759 Nucleus    45603    47783    442744 #R code myData <- read.table("table.data",                 header=T,                

Hi R-help, I'd like to extract the seasonal component of a short timeseries, and was hoping to use stats::decompose. I don't want to decompose the 'trend' component so I thought I should call decompose(x,filter=0). I think I've either misunderstood the filter argument or come upon a bug/feature in decompose. # EXAMPLE