powered by
Aligned rank test for a group/treatment effect after adjusting for covariates.
aligned.test(x, y, g, scores = Rfit::wscores,...)
The value of the test statistic.
The p-value based on a chisq(k-1) distribution where k is the number of groups/treatments.
n by p design matrix
n by 1 response vector
n by 1 vector denoting group/treatment membership.
Which scores should be used for the fit and the test. An object of class scores.
optional arguments. passed to rfit.
John Kloke
Data are aligned based on the design matrix x using a rank-based fit via rfit.
Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.
rfit
y<-rt(30,2) x<-runif(30) g<-rep(1:3,each=10) aligned.test(x,y,g)
Run the code above in your browser using DataLab