Hello,
I would like to provide a helpful bug report to the maintainer of Rmixmod, but
I'm not skilled in memory profiling.
The following example illustrates the problem :
library(Rmixmod)
genes <- matrix(rnorm(5000*50, 9, 2), nrow = 5000, ncol = 50)
selected <- sample(5000, 25)
columns <- split(1:50, rep(1:10, each = 5))
lapply(1:100, function(index) # 100 resamples with replacement
{
lapply(1:5, function(fold) # 5-fold cross validation
{
apply(genes[selected, columns[[fold]]], 1, function(aGene)
mixmodCluster(aGene, nbCluster = 1:3))
return(NULL)
})
})
Even though no data was assigned to any variables, even if I do gc() after the
loop, 5 GB of RAM is used. This makes the software unusable in a loop, because
the server freezes when it runs out of RAM.
May someone who is an expert help me ?
--------------------------------------
Dario Strbenac
PhD Student
University of Sydney
Camperdown NSW 2050
Australia
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