mclapply
(Dummy Non-Parallel) Version of Parallel 'lapply'

Description

This function is provided for compatibility with open-source R: it just calls the non-parallel lapply.

Usage

mclapply(X, FUN, ..., mc.preschedule = TRUE, mc.set.seed = TRUE,
         mc.silent = FALSE, mc.cores = getOption("mc.cores", 2L),
         mc.cleanup = TRUE, mc.allow.recursive = TRUE)

Arguments

X any object. Usually a list or a vector. Missing values (NAs) are allowed if FUN accepts them.
FUN a function to apply to the components of X, or a character string giving the name of the function.
... other arguments to FUN, if any. They can be given with names.
mc.preschedule This argument is ignored by TIBCO Enterprise Runtime for R.
mc.set.seed This argument is ignored by TIBCO Enterprise Runtime for R.
mc.silent This argument is ignored by TIBCO Enterprise Runtime for R.
mc.cores an integer value. This argument is ignored by TIBCO Enterprise Runtime for R, except that an error is generated if it is less than 1.
mc.cleanup This argument is ignored by TIBCO Enterprise Runtime for R.
mc.allow.recursive This argument is ignored by TIBCO Enterprise Runtime for R.

Details

Open-source R implements mclapply as a parallel version of lapply using forking on Unix/Linux.
To support existing code, TIBCO Enterprise Runtime for R defines this so it just calls lapply (non-parallel).
Value
returns a list like X (the same length and names), where each component of the list is replaced by the result of executing FUN on that component.
Differences between TIBCO Enterprise Runtime for R and Open-source R
TIBCO Enterprise Runtime for R defines mclapply for compatibility with open-source R, but this function doesn't process list elements in separate parallel processes.
See Also
lapply, mcparallel, pvec.
Examples
x <- list(a = 1:10000, beta = exp(-300:300), logic = c(TRUE,FALSE,FALSE,TRUE))
lapply(x, mean)
mclapply(x, mean)
Package parallel version 6.0.0-69
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