nested foreach loops in R to update common array

Question

I am trying to use a couple of foreach loops in R to fill out a common array in parallel. A very simplified version of what I am trying to do is:

library(foreach)
set.seed(123)
x <- matrix(NA, nrow = 8, ncol = 2)

foreach(i=1:8) %dopar% {
    foreach(j=1:2) %do% {

      l <- runif(1, i, 100)
      x[i,j] <- i + j + l     #This is much more complicated in my real code.   

    }
}

I would like to code to update the matrix x in parallel and have the output look like:

> x
       [,1]      [,2]
 [1,]  31.47017  82.04221
 [2,]  45.07974  92.53571
 [3,]  98.22533  12.41898
 [4,]  59.69813  95.67223
 [5,]  63.38633  55.37840
 [6,] 102.94233  56.61341
 [7,]  78.01407  69.25491
 [8,]  26.46907 100.78390 

However, I cannot seem to figure out how to get the array to be updated. I have tried putting the x <- elsewhere, but it doesn't seem to like it. I think this will be a very easy thing to fix, but all my searching has not lead me there yet. Thanks.

Answer 1

foreach loops are used for their return value, like lapply. In this way they are very different from for loops which are used for their side effects. By using the appropriate .combine functions, the inner foreach loop can return vectors which are combined row-wise into a matrix by the outer foreach loop:

x <- foreach(i=1:8, .combine='rbind') %dopar% {
   foreach(j=1:2, .combine='c') %do% {
     l <- runif(1, i, 100)
     i + j + l  
   }
}

You can also use the nesting operator: %:%:

x <- foreach(i=1:8, .combine='rbind') %:%
   foreach(j=1:2, .combine='c') %dopar% {
     l <- runif(1, i, 100)
     i + j + l  
   }

Note that set.seed probably won't do what you want, since it is being performed on the local machine, while the random numbers are generated in different R sessions, possibly on different machines.