Hi all,
I support this proposal (original message below). One more suggestion on
this: It might be useful if the proposed ".BY" object would have only a
single row with the current values of the grouping variables instead of
as much (duplicate) rows as the group. Whatever computation one wants to
do with .BY would need to be executed only once and the result recycled
for each row in the group.
Anyway, are there any news on this topic?
Andreas
Hi,
Now that data.table has dropped the "by" columns in .SD (since 1.5.3),
I find myself wanting a way to figure out what subset I'm working on
when I'm processing data in groups.
The reason is that I want to (at times) fetch/retrieve relevant info
from another data.table that relates to the current subest I'm
operating on. I know I can join the two tables together first before
processing the groups, but sometimes I work with large data.tables and
don't want to merge them at once and then iterate over the new
agglomerated/huge one.
Would anyone else find it helpful to have data.table inject something
like a ".by" (or .BY) variable into the scope of the current
processing group so we can reference it as we see fit.
For example:
result <- some.big.data.table[, by=list(colA, colB), {
## Sometimes I want to know what the current values of
## colA and colB are in here to get some more info. Mabye
## we can have .BY:
xref <- more.data[J(.BY[1], .BY[2]), mult='all'] ## or something
## ...
}]
You know? Does anyone else find themselves in this boat too, or is
there a better way to do what I'm after already?
Thanks,
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
<http://cbio.mskcc.org/%7Elianos/contact>
--
Andreas Borg
Medizinische Informatik
UNIVERSITÄTSMEDIZIN
der Johannes Gutenberg-Universität
Institut für Medizinische Biometrie, Epidemiologie und Informatik
Obere Zahlbacher Straße 69, 55131 Mainz
www.imbei.uni-mainz.de
Telefon +49 (0) 6131 175062
E-Mail: [email protected]
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