bct: Box-Cox Transforms

In TeachingDemos: Demonstrations for Teaching and Learning

Description

Computes the Box-Cox transform of the data for a given value of lambda. Includes the scaling factor.

Usage

bct(y, lambda)

Arguments

y	Vector of data to be transformed.
lambda	Scalar exponent for transform (1 is linear, 0 is log).

Details

bct computes the Box-Cox family of transforms: y = (y\^lambda - 1)/(lambda*gm\^(lambda-1)), where gm is the geometric mean of the y's. returns log(y)*gm when lambda equals 0.

Value

A vector of the same length as y with the corresponding transformed values.

Author(s)

Greg Snow [e-mail]

See Also

vis.boxcox, vis.boxcoxu, boxcox in package MASS, other implementations in various packages

Examples

y <- rlnorm(500, 3, 2)
par(mfrow=c(2,2))
qqnorm(y)
qqnorm(bct(y,1/2))
qqnorm(bct(y,0))
hist(bct(y,0))

TeachingDemos documentation built on April 2, 2020, 3:01 a.m.