search for: fortram

Displaying 4 results from an estimated 4 matches for "fortram".

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2006 Dec 18
1
Memory problem on a linux cluster using a large data set
...e large amounts of data the systems configuration are Speed: 3.4 GHz, memory 4GByte. Is there a way to change the settings or processor under R? I want to run the function Random Forest on my large data set it should be able to cope with that amount. Perhaps someone has tried this before in R or is Fortram a better choice? I added my R script down below. Best regards, Iris Kolder SNP <- read.table("file.txt", header=FALSE, sep="") # read in data file SNP[SNP==9]<-NA # change missing values from a 9 to a NA SNP$total.NAs = rowSums(is...
2013 Jan 15
1
Mac libgfortran.2.dylib
...tran was linked to the fortran libs distributed in R binaries. Today was the first day I was on a mac without Xcode and found my fortran based package has issues, which appears only on the mac. Do we need to have a special compile library path set in the Makefile to direct CRAN to the R distributed fortram libraries? My case may be semi-unique as I am having CRAN compile executables that are system calls from my R scripts rather than libraries. Example Code on OSX/Mac: install.packages("SWATmodel",repos="http://cran.r-project.org") library("SWATmodel") testSWAT2005() d...
2007 Jan 10
1
Fw: Memory problem on a linux cluster using a large data set [Broadcast]
...> memory problems occur here, perhaps you'll have gained enough > experience to point the package maintainer to the problem and > suggest a possible solution. > > > set it should be able to cope with that amount. Perhaps someone has > > tried this before in R or is Fortram a better choice? I added my R > > If you mean a pure Fortran solution, including coding the > random forest algorithm, then of course you have complete > control over memory management. You'd still likely be limited > to addressing 4 GB of memory. > > > > I wro...
2006 Dec 21
1
Memory problem on a linux cluster using a large data set [Broadcast]
...> memory problems occur here, perhaps you'll have gained enough > experience to point the package maintainer to the problem and > suggest a possible solution. > > > set it should be able to cope with that amount. Perhaps someone has > > tried this before in R or is Fortram a better choice? I added my R > > If you mean a pure Fortran solution, including coding the > random forest algorithm, then of course you have complete > control over memory management. You'd still likely be limited > to addressing 4 GB of memory. > > > > I wro...