built-ins: Built-in Group Apply Utility Functions

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

Description

These functions provide convenience shortcut for commonly performed group-apply operations, such as column/row group means, medians, maxs, mins, etc...

col<STAT>By computes for each column a given statistic within separate groups of rows, which are defined by a factor.

row<STAT>By computes for each row a given statistic within separate groups of columns, which are defined by a factor.

Usage

colSumsBy(x, BY, ...)

rowSumsBy(x, BY, ...)

rowMeansBy(x, BY, ...)

colMeansBy(x, BY, ...)

rowMediansBy(x, BY, ...)

colMediansBy(x, BY, ...)

rowMaxsBy(x, BY, ...)

colMaxsBy(x, BY, ...)

rowMinsBy(x, BY, ...)

colMinsBy(x, BY, ...)

Arguments

x	matrix-like object on which apply can be called.
BY	factor or object coerced to a factor, that defines the groups within which the function FUN is applied. If x is an ExpressionSet object, then BY can be the names of a sample (resp. feature) annotation variable if MARGIN=1 (resp. MARGIN=2L) (see examples).
...	extra parameters passed to FUN.

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