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