Function detects the operating system and chooses the approximate kind of process for parallelizing the task: Windows: PSOCKCluster, Unix: Forking.
parpbapply(
X,
FUN,
MARGIN,
packages = NULL,
export = NULL,
envir = environment(),
nNodes = parallel::detectCores() - 1
)an array, including a matrix.
function, the function to be applied to each element of X
a vector giving the subscripts which the function will be applied over. E.g., for a matrix 1 indicates rows, 2 indicates columns, c(1, 2) indicates rows and columns. Where X has named dimnames, it can be a character vector selecting dimension names.
character vector, Only relevant for Windows: the packages needed in the function provided, eg. c("MASS", "data.table")
character vector, Only relevant for Windows: the varibales needed in the function provided, eg. c("df", "vec")
environment, Only relevant for Windows: Environment from which the variables should be exported from
numeric, Number of processes to start (unix: best to fit with the available Cores)
Returns a vector or array or list of values obtained by applying a function to margins of an array or matrix.
n <- 1000
df <- data.frame(
x = seq(1, n, 1),
y = -seq(1, n, 1)
)
a <- parpbapply(X = df, FUN = sum, MARGIN = 1, nNodes = 2)
#> |ForkCluster (unix): Running 2 processes in parallel
#>
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#> |Elapsed time: 0.2s