[R] Improving data processing efficiency

Daniel Folkinshteyn dfolkins at gmail.com
Sat Jun 7 01:35:13 CEST 2008

> install.packages("profr")
> library(profr)
> p <- profr(fcn_create_nonissuing_match_by_quarterssinceissue(...))
> plot(p)
> That should at least help you see where the slow bits are.
> Hadley
so profiling reveals that '[.data.frame' and '[[.data.frame' and '[' are 
the biggest timesuckers...

i suppose i'll try using matrices and see how that stacks up (since all 
my cols are numeric, should be a problem-free approach).

but i'm really wondering if there isn't some neat vectorized approach i 
could use to avoid at least one of the nested loops...

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