aligned.test {npsm} | R Documentation |
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
Examples
y<-rt(30,2)
x<-runif(30)
g<-rep(1:3,each=10)
aligned.test(x,y,g)
[Package npsm version 2.0.0 Index]