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celis
2012 Sep 24
5
Memory usage in R grows considerably while calculating word frequencies
I am working with some large text files (up to 16 GBytes). I am interested
in extracting the words and counting each time each word appears in the
text. I have written a very simple R program by following some suggestions
and examples I found online.
If my input file is 1 GByte, I see that R uses up to 11 GBytes of memory
when executing the program on
a 64-bit system running CentOS 6.3. Why is
2012 Sep 20
3
(no subject)
>From my book on corpus linguistics with R:
# (10) Imagine you have two vectors a and b such that
a<-c("d", "d", "j", "f", "e", "g", "f", "f", "i", "g")
b<-c("a", "g", "d", "f", "g", "a", "f", "a",