CRAN/E | multiApply

multiApply

Apply Functions to Multiple Multidimensional Arrays or Vectors

Installation

About

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.

earth.bsc.es/gitlab/ces/multiApply
Bug report File report

Key Metrics

Version 2.1.4
R ≥ 3.2.0
Published 2023-03-28 403 days ago
Needs compilation? no
License GPL-3
CRAN checks multiApply results

Downloads

Yesterday 13 -13%
Last 7 days 119 +3%
Last 30 days 396 -1%
Last 90 days 1.130 -23%
Last 365 days 5.013 -91%

Maintainer

Maintainer

An-Chi Ho

an.ho@bsc.es

Authors

BSC-CNS

aut / cph

Nicolau Manubens

aut

Alasdair Hunter

aut

An-Chi Ho

ctb / cre

Nuria Perez

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

multiApply archive

Depends

R ≥ 3.2.0

Imports

doParallel
foreach
plyr

Suggests

testthat

Reverse Imports

agroclim
ClimProjDiags
CSIndicators
CSTools
s2dv
startR