kancova: Robust Analysis of Covariance under Heterogeneous Slopes for...

In npsm: Nonparametric Statistical Methods

Robust Analysis of Covariance under Heterogeneous Slopes for a k-way layout

Description

Returns a robust rank-based analysis of covariance for a k-way layout assuming heterogenous slopes; see Section 5.4 of Kloke and McKean (2014)/Sections 5.6 and 7.3 of Kloke and McKean (2024). Currently only wilcoxon scores are used.

Usage

kancova(levs,data,xcov,print.table=TRUE)

Arguments

levs	vector of levels corresponding to the factors A, B, C, etc.
data	matrix with response in column 1 and level in column 2
xcov	matrix of covariates
print.table	logical indicating a table should be printed

Details

Returns the analysis of covariance table assuming heterogenous slopes for a k-way layout.

Value

tab2	analysis of covariance
fint	rank-based ful model (heterogenous slopes
fithomog	rank-based ful model (homogeneous slopes

Author(s)

John Kloke, Joseph McKean

References

Kloke, J. and McKean, J.W. (2014), Nonparametric statistcal methods using R, Boca Raton, FL: Chapman-Hall. Kloke, J. and McKean, J.W. (2024), Nonparametric statistcal methods using R, Second Edition, Boca Raton, FL: Chapman-Hall.

Examples

 levels <- c(2,2)
 y.group <- huitema496[,c('y','i','j')]
 xcov <- huitema496[,'x']
 kancova(levels,y.group,xcov)

npsm documentation built on May 29, 2024, 3:07 a.m.