zscore {limma}R Documentation

z-score equivalents

Description

Compute z-score equivalents of for gamma or t-distribution random deviates.

Usage

zscoreGamma(q, shape, rate = 1, scale = 1/rate) 
zscoreT(x, df)

Arguments

q, x numeric matrix for vector giving deviates of a random variaable
shape gamma shape parameter
rate gamma rate parameter
scale gamma scale parameter
df degrees of freedom

Details

This function computes the deviates of a standard normalization distribution which have the same quantiles as the given values in the specified distribution. For example, if z <- zscoreT(x,df=df) then pnorm(z) equals pt(x,df=df).

Care is taken to do the computations accurately in both tails of the distributions.

Value

Numeric vector giving equivalent deviates from a standard normal distribution.

Author(s)

Gordon Smyth

See Also

qnorm, pgamma, pt

Examples

zscoreGamma(1, shape=1, scale=1)
zscoreT(0, df=3)

[Package limma version 1.6.7 Index]