tbrm: Function to compute Tukey's Biweight Robust Mean

In bhklab/genefu: Computation of Gene Expression-Based Signatures in Breast Cancer

Function to compute Tukey's Biweight Robust Mean

Description

Computation of Tukey's Biweight Robust Mean, a robust average that is unaffected by outliers.

Usage

tbrm(x, C = 9)

Arguments

x	a numeric vector
C	a constant. C is preassigned a value of 9 according to the Cook reference below but other values are possible.

Details

This is a one step computation that follows the Affy whitepaper below see page 22. This function is called by chron to calculate a robust mean. C determines the point at which outliers are given a weight of 0 and therefore do not contribute to the calculation of the mean. C=9 sets values roughly +/-6 standard deviations to 0. C=6 is also used in tree-ring chronology development. Cook and Kairiukstis (1990) have further details. Retrieved from tbrm.

Value

A numeric mean.

References

Statistical Algorithms Description Document, 2002, Affymetrix. p22. Cook, E. R. and Kairiukstis, L.A. (1990) Methods of Dendrochronology: Applications in the Environmental Sciences. ISBN-13: 978-0792305866. Mosteller, F. and Tukey, J. W. (1977) Data Analysis and Regression: a second course in statistics. Addison-Wesley. ISBN-13: 978-0201048544.

See Also

chron

Examples

tbrm(rnorm(100))

bhklab/genefu documentation built on June 2, 2022, 2:56 p.m.