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
Examples
x <- list(a = 1:10000, beta = exp(-300:300), logic = c(TRUE,FALSE,FALSE,TRUE))
lapply(x, mean)
mclapply(x, mean)