search for: at2g

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2007 Aug 18
1
Suspected memory leak with R v.2.5.x and large matrices with dimnames set
...my.r.all <- val[ , my.cols ] devs <- apply( my.r.all, 1, "-", avg.rows ) rm( my.r.all ) gc() apply( devs, 2, var, na.rm=TRUE ) } ) val<-matrix( rnorm( (20000*2000) ), 20000, 2000 )#, dimnames= list( paste( "AT2G", 1:20000,sep="" ), paste( "AT2Gcol", 1:2000,sep="" ) ) ) gc() #res <- sapply(1:10, function(i) f()) # --- works fine if dimnames aren't set # rm( list=ls() ) #gc()
2007 Aug 18
1
Suspected memory leak with R v.2.5.x and large matrices with dimnames set
...my.r.all <- val[ , my.cols ] devs <- apply( my.r.all, 1, "-", avg.rows ) rm( my.r.all ) gc() apply( devs, 2, var, na.rm=TRUE ) } ) val<-matrix( rnorm( (20000*2000) ), 20000, 2000 )#, dimnames= list( paste( "AT2G", 1:20000,sep="" ), paste( "AT2Gcol", 1:2000,sep="" ) ) ) gc() #res <- sapply(1:10, function(i) f()) # --- works fine if dimnames aren't set # rm( list=ls() ) #gc()
2007 Aug 16
2
Possible memory leak with R v.2.5.0
I'm working with a very large matrix ( 22k rows x 2k cols) of RNA expression data with R v.2.5.0 on a RedHat Enterprise machine, x86_64 architecture. The relevant code is below, but I call a function that takes a cluster of this data ( a list structure that contains a $rows elt which lists the rows (genes ) in the cluster by ID, but not the actual data itself ). The