arrApply: Apply a Function to a Margin of an Array
Version 2.0.1

High performance variant of apply() for a fixed set of functions. Considerable speedup is a trade-off for universality, user defined functions cannot be used with this package. However, 20 most currently employed functions are available for usage. They can be divided in three types: reducing functions (like mean(), sum() etc., giving a scalar when applied to a vector), mapping function (like normalise(), cumsum() etc., giving a vector of the same length as the input vector) and finally, vector reducing function (like diff() which produces result vector of a length different from the length of input vector). Optional or mandatory additional arguments required by some functions (e.g. norm type for norm() or normalise() functions) can be passed as named arguments in '...'.

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AuthorSerguei Sokol
Date of publication2016-11-10 17:09:31
MaintainerSerguei Sokol <sokol@insa-toulouse.fr>
LicenseGPL (>= 2)
Version2.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("arrApply")

Getting started

Man pages

arrApply: High Performance Variant of apply()

Functions

arrApply Man page Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_arrApply.R
src
src/Makevars
src/arrApply.cpp
src/RcppExports.cpp
NAMESPACE
NEWS
R
R/RcppExports.R
MD5
DESCRIPTION
man
man/arrApply.Rd
cleanup
arrApply documentation built on May 19, 2017, 3:52 p.m.