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multiApply
View on CRAN: Click
here
Download and install multiApply package within the R console
Install from CRAN:
install.packages("multiApply")
Install from Github:
library("remotes")
install_github("cran/multiApply") Install by package version:
library("remotes")
install_version("multiApply", "2.1.5") Attach the package and use:
library("multiApply")
Maintained by
An-Chi Ho
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-18
Latest Update: 2023-03-28
Description:
The base apply function and its variants, as well as the related
functions in the 'plyr' package, typically apply user-defined functions to a
single argument (or a list of vectorized arguments in the case of mapply). The
'multiApply' package extends this paradigm with its only function, Apply, which
efficiently applies functions taking one or a list of multiple unidimensional
or multidimensional arrays (or combinations thereof) as input. The input
arrays can have different numbers of dimensions as well as different dimension
lengths, and the applied function can return one or a list of unidimensional or
multidimensional arrays as output. This saves development time by preventing the
R user from writing often error-prone and memory-inefficient loops dealing with
multiple complex arrays. Also, a remarkable feature of Apply is the transparent
use of multi-core through its parameter 'ncores'. In contrast to the base apply
function, this package suggests the use of 'target dimensions' as opposite
to the 'margins' for specifying the dimensions relevant to the function to be
applied.
How to cite:
An-Chi Ho (2017). multiApply: Apply Functions to Multiple Multidimensional Arrays or Vectors. R package version 2.1.5, https://cran.r-project.org/web/packages/multiApply. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for multiApply
Functions, R codes and Examples using
the multiApply R package
Some associated functions: Apply .
Some associated R codes: Apply.R . zzz.R . Full multiApply package functions and examples
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