search for: reflibrary

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

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2004 May 21
1
Memory Leak in OS X versions? (PR#6903)
...- This is the conclusion from a prior thread ([R] " cannot allocate vector of length 1072693248") which ended with no other answer but that there must be a problem in the OS X version of R, or in the compile of the source on OS X. I?ve posted code and data here: http://www.well-wired.com/reflibrary/uploads/1084503247.zip If you setwd() into the directory that is made, then ?source()? the ?.R? file, it should run fine on Windows but crash on any machine with OS X (Panther) giving: ?Error in as.vector(data) : cannot allocate vector of length 1073741824? after a few iterations of the loop. I...
2004 May 20
0
Memory Leak in OS X version of R?
This is the conclusion from a prior thread ([R] " cannot allocate vector of length 1072693248") which ended with no other answer but that there must be a problem in the OS X version of R, or in the compile of the source on OS X. I??ve posted code and data here: http://www.well-wired.com/reflibrary/uploads/1084503247.zip If you setwd() into the directory that is made, then ??source()?? the ??.R?? file, it should run fine on Windows but crash on any machine with OS X (Panther) giving: ??Error in as.vector(data) : cannot allocate vector of length 1073741824?? after a few iterations of the loop...
2004 Apr 05
2
Can't seem to finish a randomForest.... Just goes and goes!
Alternatively, if you can arrive at a sensible ordering of the levels you can declare them ordered factors and make the computation feasible once again. Bill Venables. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Torsten Hothorn Sent: Monday, 5 April 2004 4:27 PM To: David L. Van Brunt, Ph.D. Cc: R-Help Subject:
2004 Apr 05
3
Can't seem to finish a randomForest.... Just goes and goe s!
When you have fairly large data, _do not use the formula interface_, as a couple of copies of the data would be made. Try simply: Myforest.rf <- randomForest(Mydata[, -46], Mydata[,46], ntrees=100, mtry=7) [Note that you don't need to set proximity (not proximities) or importance to FALSE, as that's the default already.] You might also want to use