raov: R ANOVA

In Rfit: Rank-Based Estimation for Linear Models

R ANOVA

Description

Returns full model fit and robust ANOVA table for all main effects and interactions.

Usage

raov(f, data = list(), ...)

Arguments

f	an object of class formula
data	an optional data frame
...	additional arguments

Details

Based on reduction in dispersion tests for testing main effects and interaction. Uses an algorithm described in Hocking (1985).

Value

table	Description of 'comp1'
fit	full model fit returned from rfit
residuals	the residuals, i.e. y-yhat
fitted.values	yhat = x betahat
call	Call to the function

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

rfit, oneway.rfit

Examples

raov(logSurv~Poison+Treatment,data=BoxCox)

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