coreApply: Apply a function (optionally in parallel) to a list
In neyhartj/neyhart: My collection of useful R functions.
coreApply R Documentation
Apply a function (optionally in parallel) to a list
Description
Apply a function over data.frames assigned to a core. If on a Unix system (Linux or Mac),
the function will be applied in parallel. If using a Windows system, the function
will not be applied in parallel
Usage
coreApply(X, FUN, check.cores = FALSE)
Arguments
X
A list of data.frames over which to apply a function. Must inherit class
core.list from the assign_cores function.
FUN
A function.
check.cores
Logical. Should the number of requested cores (determined as the length
of list X) be compared against the number of available cores?
neyhartj/neyhart documentation built on Jan. 17, 2024, 11:13 a.m.
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| coreApply | R Documentation |
Apply a function (optionally in parallel) to a list
Description
Apply a function over data.frames assigned to a core. If on a Unix system (Linux or Mac), the function will be applied in parallel. If using a Windows system, the function will not be applied in parallel
Usage
coreApply(X, FUN, check.cores = FALSE)
Arguments
X |
A list of data.frames over which to apply a function. Must inherit class
|
FUN |
A function. |
check.cores |
Logical. Should the number of requested cores (determined as the length of list X) be compared against the number of available cores? |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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