aligned.test: Aligned Rank Test

In npsm: Nonparametric Statistical Methods

Aligned Rank Test

Description

Aligned rank test for a group/treatment effect after adjusting for covariates.

Usage

aligned.test(x, y, g, scores = Rfit::wscores,...)

Arguments

x	n by p design matrix
y	n by 1 response vector
g	n by 1 vector denoting group/treatment membership.
scores	Which scores should be used for the fit and the test. An object of class scores.
...	optional arguments. passed to rfit.

Details

Data are aligned based on the design matrix x using a rank-based fit via rfit.

Value

statistic	The value of the test statistic.
p.value	The p-value based on a chisq(k-1) distribution where k is the number of groups/treatments.

Author(s)

John Kloke

References

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

See Also

rfit

Examples

y<-rt(30,2)
x<-runif(30)
g<-rep(1:3,each=10)
aligned.test(x,y,g)

npsm documentation built on Nov. 15, 2023, 1:08 a.m.