I'm trying to import a table into R the file is about 700MB. Here's my first
try:
> DD<-read.table("01uklicsam-20070301.dat",header=TRUE)
Error: cannot allocate vector of size 15.6 Mb
In addition: Warning messages:
1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
Reached total allocation of 1535Mb: see help(memory.size)
2: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
Reached total allocation of 1535Mb: see help(memory.size)
3: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
Reached total allocation of 1535Mb: see help(memory.size)
4: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
Reached total allocation of 1535Mb: see help(memory.size)
Then I tried
> memory.limit(size=4095)
and got
> DD<-read.table("01uklicsam-20070301.dat",header=TRUE)
Error: cannot allocate vector of size 11.3 Mb
but no additional errors. Then optimistically to clear up the workspace:
> rm()
> DD<-read.table("01uklicsam-20070301.dat",header=TRUE)
Error: cannot allocate vector of size 15.6 Mb
Can anyone help? I'm confused by the values even: 15.6Mb, 1535Mb, 11.3Mb?
I'm working on WinXP with 2 GB of RAM. Help says the maximum obtainable
memory is usually 2Gb. Surely they mean GB?
The file I'm importing has about 3 million cases with 100 variables that I
want to crosstabulate each with each. Is this completely unrealistic?
Thanks!
Maja
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