performance - Parallel foreach vs. parallel apply in R? -

which 1 more efficient in situations? 1 cannot work @ in situations?

i trying make general code more efficient , curious 1 better, because far i've seen, cannot used in conjunction.

for reference:

library(doparallel) library(foreach)  foreach (i = list) %dopar% { ... } 

vs.

library(parallel)  parlapply(cl, x = list, fun = function)