[R] Improving data processing efficiency

[Daniel Folkinshteyn]

> 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...