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atica
2007 Aug 16
4
Linear models over large datasets
I'd like to fit linear models on very large datasets. My data frames
are about 2000000 rows x 200 columns of doubles and I am using an 64
bit build of R. I've googled about this extensively and went over the
"R Data Import/Export" guide. My primary issue is although my data
represented in ascii form is 4Gb in size (therefore much smaller
considered in binary), R consumes about
2007 Feb 21
1
Data frame operations getting slower when accessed by index
I have a data frame called df which has about 100 columns but thousands of
rows. I set D the index of df$D and M to be the index of df$M.
When I run the following loop as it is vs. df[,D] and df[,M] replaced with
df$D and df$M there is a real big time difference in completion (with the
latter being significantly faster). Is there an easy reason why and how I
could speed up access?
for (m in 1:12)