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myrespxy
2017 Dec 07
2
parallel computing with foreach()
I have used foreach() for parallel computing but in the current problem, it
is not working. Given the volume and type of the data involved in the
analysis, I will try to give below the complete code without reproducible
example.
In short, each R environment will draw a set of separate files, perform the
analysis and dump in separate folders.
splist <- c("juoc", "juos",
2017 Dec 07
0
parallel computing with foreach()
Your code generates an error that has nothing to do with dopar. I have
no idea what your function stack is supposed to do; you may be
inadvertently calling utils::stack which would produce this kind of
error:
> stack(1:25, RAT = FALSE)
Error in data.frame(values = unlist(unname(x)), ind, stringsAsFactors = FALSE) :
arguments imply differing number of rows: 25, 0
HTH,
Peter
On Wed, Dec 6,