relrange: Relativize a compositional data matrix.

In phiala/ecodist: Dissimilarity-Based Functions for Ecological Analysis

Relativize a compositional data matrix.

Description

Relativizes the range of each column of a data frame or matrix x to 0-1. If globalmin and/or globalmax are provided, those are used to scale the columns, for instance to scale a subset to match a larger sample. If they are NA, the minimum and maximum values for each column are used.

Usage

relrange(x, globalmin = NA, globalmax = NA)

Arguments

x	The data frame or matrix to be relativized.
globalmin	A value other than the population minimum to be used. Should be the same length as the number of columns of x.
globalmax	A value other than the population maximum to be used. Should be the same length as the number of columns of x.

Details

Relativizes the data using the minimum and maximum values. If globalmin and global max are not used, the range will be 0-1 for each variable. This can be useful for putting disparate variables to the same magnitude while keeping all non-negative values.

Value

Returns an object of the same class as x (matrix or data frame) with the columns rescaled.

Author(s)

Sarah Goslee

See Also

scale

Examples

	x <- matrix(1:15, ncol = 3)

	# uses min and max of the data
	relrange(x)

	# uses min and max determined by other knowledge of the variables
	relrange(x, globalmin = c(0, 0, 0), globalmax = c(6, 10, 20))

phiala/ecodist documentation built on Nov. 5, 2023, 10:47 a.m.