Dealing with Grouped Data

[Aaron]

One thing I have yet to migrate from is SAS's all powerful BY
statement, which made dealing with grouped data very seamless. The
closet thing I could find in R was the groupedData() in library(nlme),
which allows use of the gsummary() and gapply() functions. However,
these were quite clunky and I often ran into memory issues with large
data frames. Recently, Dr. Wickham has developed the Plyr library,
which I have found very useful. Have others found a more effective
technique for summarizing large grouped datasets?

[Andrew Robinson]

Hi Aaron,

can you give an example of the kind of problem that you'd like to
solve, with a little example dataset?

Cheers

Andrew

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Andrew Robinson
Deputy Director, ACERA
Department of Mathematics and Statistics Tel: +61-3-8344-6410
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Forest Analytics with R (Springer, 2011)
http://www.ms.unimelb.edu.au/FAwR/
Introduction to Scientific Programming and Simulation using R (CRC, 2009):
http://www.ms.unimelb.edu.au/spuRs/

[Dave Larsen]

Aaron

Thanks for getting the Forest-R going again. I was wondering if was
still available.

Dave Larsen