r.pb: Percentage bend correlation

In asbio: A Collection of Statistical Tools for Biologists

Percentage bend correlation

Description

The percentage bend correlation is a robust alternative to Pearson's product moment correlation.

Usage

r.pb(X, Y, beta = 0.2)

Arguments

X	A quantitative vector
Y	A second quantitative vector
beta	Bend criterion

Details

The percentage bend correlation belongs to class of correlation measures which protect against marginal distribution (X and Y) outliers. In this way it is similar to Kendall's \tau, Spearman's \rho, and biweight midcovariance. A second class of robust correlation measures which take in to consideration the overall structure of the data (O estimators) are discussed by Wilcox (2005, pg. 389). A value for the bend criterion beta is required in the R.pb function; beta = 0.2 is recommended by Wilcox (2005).

Value

A dataframe with the correlation, test statistic and P-value for the null hypothesis of independence are returned.

Author(s)

Ken Aho

References

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

See Also

corr, r.bw

Examples

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

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