Dear All and Mark,
Given a dataset that I have called dat, I was hoping to speed up the
following loop:
for(i in 1:835353){
for(j in 1:86){
if (is.na(dat[i,j])==TRUE){dat[i,j]<-0 }}}
Actually I am also having a memory problem. I get the following:
Error: cannot allocate vector of size 3.2 Mb
In addition: Warning messages:
1: In dat[i, j] <- 0 :
Reached total allocation of 1535Mb: see help(memory.size)
2: In dat[i, j] <- 0 :
Reached total allocation of 1535Mb: see help(memory.size)
3: In dat[i, j] <- 0 :
Reached total allocation of 1535Mb: see help(memory.size)
4: In dat[i, j] <- 0 :
Reached total allocation of 1535Mb: see help(memory.size)
If I try and apply the loop just to a particular column, rather than the
whole dataset, so that I dont have the memory problem, ie
for(i in 1:835353){
if (is.na(dat[i,4])==TRUE){dat[i,4]<-0 }}
it takes ridiculously long to process, so I was hoping that there would be a
quicker way to do this.
Thank you all very much for the help,
Denise
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