Perhaps I've missed this in the FAQ, but has someone documented any tricks
which can be used in R to optimize memory usage/execution time? For S+,
StatSci used to recommend:
1. Avoid "for" loops whenever possible.
2. In "for" loops, have a simple expression, such as TRUE, as the last
statement.
3. Allocate memory for a vector/array at one time, rather than building it
up in a "for" loop using c(), rbind(), etc.
4. Execute code which manipulates large objects within a function, rather
than directly from the command line.
Should these practices help when using R? Are there others which users
should know about?
Thanks...Steve Oncley
NCAR/ATD
PO Box 3000
Boulder CO 80307-3000 USA
oncley at ucar.edu
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