npsm (version 2.0.0)

onecova: 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)

Value

tab

analysis of covariance

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.

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)