Hey,
I have an double loop like this:
chunk <- list(1:10, 11:20, 21:30)
for(k in 1:length(chunk)){
print(chunk[k])
DummyCatcher <- NULL
for(i in chunk[k]){
print("i load something")
dummy <- 1
print("i do something")
dummy <- dummy + 1
print("i do put it together")
DummyCatcher = rbind(DummyCatcher, dummy)
}
print("i save a chunk and restart with another chunk of data")
}
The problem now is that with each 'chunk'-cycle the memory used by R
becomes bigger and bigger until it exceeds my RAM but the RAM it needs
for any of the chunk-cycles alone is only a 1/5th of what I have overall.
Does somebody have an idea why this behaviour might occur? Note that all
the objects (like 'DummyCatcher') are reused every cycle so that I would
assume that the RAM used should stay about the same after the first
'chunk' cycle.
Best, Peter
SystemInfo:
R version 2.15.2 (2012-10-26)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Win7 Enterprise, 8 GB RAM
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