onecova: Robust Analysis of Covariance under Heterogeneous Slopes

In npsm: Nonparametric Statistical Methods

Robust Analysis of Covariance under Heterogeneous Slopes

Description

Returns tests for homogeneous slopes and also assuming homogeneous slopes a test for differences in level. Currently only wilcoxon scores are used.

Usage

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

Arguments

levs	Number of levels of the one-way design
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.

Value

tab	analysis of covariance

References

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

Examples

data=latour[,c('quality','rain')]
xcov<-cbind(latour['end.of.harvest'])
onecova(2,data,xcov,print.table=TRUE)

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