r.bw: Biweight midvariance, and biweight midcorrelation.

In asbio: A Collection of Statistical Tools for Biologists

Biweight midvariance, and biweight midcorrelation.

Description

Calculates biweight midvariance if one variable is given and biweight midvariances, midcovariance and midcorrelation if two variables are given. Biweight midcorrelation is a robust alternative to Pearson's r.

Usage

r.bw(X, Y=NULL)

Arguments

X	A numeric vector
Y	An optional second numeric variable.

Details

Biweight statistics are robust to violations of normality. Like the sample median the sample midvariance has a breakdown point of approximately 0.5. The triefficiency of the biweight midvariance was the highest for any of the 150 measures of scale compared by Lax (1985).

Value

Returns the biweight variance if one variable is given, and the biweight midvariances, midcovariance and midcorrelation if two variables are given.

Author(s)

Ken Aho

References

Lax, D. A. (1985) Robust estimators of scale: finite sample performance in long-tailed symmetric distributions. Journal of the American Statistical Association, 80 736-741.

Wilcox, R. R. (2005) Introduction to Robust Estimation and Hypothesis Testing, Second Edition. Elsevier, Burlington, MA.

See Also

cor, r.pb

Examples

x<-rnorm(100)
y<-rnorm(100)
r.bw(x,y)

asbio documentation built on May 29, 2024, 5:57 a.m.