hello,
for my present project i need to use the data stored in a ca. 100mb
stata dataset.
when i import the data in R using:
library("foreign")
x<-read.dta("mydata.dta")
i find that R needs a startling 665mb of memory!
(in stata i can simply allocate, say, 128mb of memory and go ahead)
is there anyway around this, or should i forget R for analysis of
datasets of this magnitude?
thanks for you help in this, edwin.
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