applyBy-package: Subset-wise apply functions to aggregate rows or columns of...

In renozao/applyBy: Subset-wise apply functions to aggregate rows or columns of matrix-like objects

Description

This package defines a function applyBy that enables applying a function along margins of matrix-like objects separately within groups of columns/rows defined by factor(s), e.g., computing aggregated summary statistics. It is essentially a wrapper around functions from the the matrixStats package, which provide very fast alternative implementation to the base aggregate function.

This package defines a function applyBy that enables applying a function along margins of matrix-like objects separately within groups of columns/rows defined by factor(s), e.g., computing aggregated summary statistics. It is essentially a wrapper around functions from the the matrixStats package, which provide very fast alternative implementation to the base aggregate function.

Details

Package:	applyBy
Type:	Package
Version:	1.2
Date:	2016-11-18
License:	GPL (>= 2)
LazyLoad:	yes

Author(s)

Renaud Gaujoux <[e-mail]> (Maintainer)

Renaud Gaujoux [e-mail]

Maintainer: Renaud Gaujoux [e-mail]

See Also

matrixStats-package, colAvgsPerRowSet, rowAvgsPerColSet , applyBy

Examples

x <- matrix(runif(32), ncol = 4)
g.row <- gl(2, 4)
g.col <- gl(2, 2)

rowMeans(x)
rowMeansBy(x, g.col)
colMeansBy(x, g.row)

renozao/applyBy documentation built on May 27, 2019, 5:53 a.m.