Package: arrApply 2.2

arrApply: Apply a Function to a Margin of an Array

High performance variant of apply() for a fixed set of functions. Considerable speedup of this implementation is a trade-off for universality: user defined functions cannot be used with this package. However, about 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()) can be passed as named arguments in '...'.

Authors:Serguei Sokol

arrApply_2.2.tar.gz
arrApply_2.2.zip(r-4.7-x86_64)arrApply_2.2.zip(r-4.6-x86_64)
arrApply_2.2.tgz(r-4.6-x86_64)arrApply_2.2.tgz(r-4.6-arm64)
arrApply_2.2.tar.gz(r-4.7-arm64)arrApply_2.2.tar.gz(r-4.7-x86_64)arrApply_2.2.tar.gz(r-4.6-arm64)arrApply_2.2.tar.gz(r-4.6-x86_64)
arrApply_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
arrApply/json (API)

# Install 'arrApply' in R:
install.packages('arrApply', repos = c('https://sgsokol.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sgsokol/arrapply/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.82 score 2 packages 11 scripts 352 downloads 1 exports 2 dependencies

Last updated from:2497c7a3a5. Checks:8 NOTE, 2 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE110
linux-devel-x86_64NOTE127
source / vignettesOK175
linux-release-arm64NOTE108
linux-release-x86_64NOTE122
macos-release-arm64NOTE98
macos-release-x86_64NOTE195
macos-oldrel-arm64FAIL81
macos-oldrel-x86_64FAIL183
windows-devel-x86_64NOTE114
windows-release-x86_64NOTE107
windows-oldrel-x86_64FAIL67
wasm-releaseOK114

Exports:arrApply

Dependencies:RcppRcppArmadillo