kwayr: Internal Functions for K-Way analysis of variance

In Rfit: Rank-Based Estimation for Linear Models

Internal Functions for K-Way analysis of variance

Description

These are internal functions used to construct the robust anova table. The function raov is the main program.

Usage

kwayr(levs, data)
cellx(X)
khmat(levsind,permh)
pasteColsRfit(x,sep="")
redmod(xmat,amat)
subsets(k)

Arguments

levs	vector of levels corresponding to each of the factors
data	data matrix in the form y, factor 1,..., factor k
X	n x k matrix where the columns represent the levels of the k factors.
levsind	Internal parameter.
permh	Internal parameter.
x	n x k matrix where the columns represent the levels of the k factors.
xmat	n x p full model design matrix
amat	Internal parameter.
k	Internal parameter.
sep	Seperator used in pasteColsRfit

Note

Renamed pasteCols of library plotrix written by Jim Lemon et. al. June 2011 under GPL 2

Author(s)

Joseph McKean, John Kloke

References

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

Hocking, R. R. (1985), The Analysis of Linear Models, Monterey, California: Brooks/Cole.

See Also

raov

Rfit documentation built on Sept. 8, 2023, 5:59 p.m.