there are some informative posts on how to create a counter for loops in an R program. However, how do you create a similar function when using the parallelized version wit
You can also get this to work with the progress package.

# loading parallel and doSNOW package and creating cluster ----------------
library(parallel)
library(doSNOW)
numCores<-detectCores()
cl <- makeCluster(numCores)
registerDoSNOW(cl)
# progress bar ------------------------------------------------------------
library(progress)
iterations <- 100 # used for the foreach loop
pb <- progress_bar$new(
format = "letter = :letter [:bar] :elapsed | eta: :eta",
total = iterations, # 100
width = 60)
progress_letter <- rep(LETTERS[1:10], 10) # token reported in progress bar
# allowing progress bar to be used in foreach -----------------------------
progress <- function(n){
pb$tick(tokens = list(letter = progress_letter[n]))
}
opts <- list(progress = progress)
# foreach loop ------------------------------------------------------------
library(foreach)
foreach(i = 1:iterations, .combine = rbind, .options.snow = opts) %dopar% {
summary(rnorm(1e6))[3]
}
stopCluster(cl)