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arrApply
View on CRAN: Click
here
Download and install arrApply package within the R console
Install from CRAN:
install.packages("arrApply")
Install from Github:
library("remotes")
install_github("cran/arrApply")
Install by package version:
library("remotes")
install_version("arrApply", "2.2")
Attach the package and use:
library("arrApply")
Maintained by
Serguei Sokol
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-15
Latest Update: 2023-01-10
Description:
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 '...'.
How to cite:
Serguei Sokol (2016). arrApply: Apply a Function to a Margin of an Array. R package version 2.2, https://cran.r-project.org/web/packages/arrApply. Accessed 06 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for arrApply
Functions, R codes and Examples using
the arrApply R package
Some associated functions: arrApply .
Some associated R codes: RcppExports.R . Full arrApply package functions and examples
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