hiddenf (version 2.0)

anova.HiddenF: anova function for the class `HiddenF'

Description

Reproduces the analysis of variance table appropriate to the chosen method of analysis. The table contains terms common to the additive model, with additional terms appropriate to the method of analysis. For method="ACMIF", additional terms are group, group-by-column and row-nested-in-group. For method="Mandel", there is a term for slopes, for Tukey, there is a term for the multiplicative coefficient. For method="KKSA", two anova tables are given for the two additive models that lead to the maximally significant F-ratio of error mean squares.

Usage

"anova"(object, warncat = TRUE, method = "HiddenF", 
return = FALSE, print = TRUE, stars = FALSE, ...)

Arguments

object

An object of class HiddenF

warncat

A boolean argument that can be used to suppress a warning message about multiplicity adjustment to reported pvalues

method

An argument to specify which test of non-additivity is to be considered

return

A boolean argument determining whether summary statistics are to be returned as a list

print

A boolean argument for whether to display the anova tables

stars

A boolean argument that may be used to suppress the stars in the anova tables

...

Additional Arguments

Value

An object of class `anova'

References

Tukey, JW (1949). One Degree of Freedom for Non-Additivity. Biometrics, 5:232-242.

Mandel J. (1961) Non-Additivity in Two-Way Analysis of Variance, Journal of the American Statistical Association, 56:878-888

Kharrati-Kopaei, M. and Sadooghi-Alvandi, SM. (2007). A New Method for Testing Interaction in Unreplicated Two-Way Analysis of Variance, Communications in Statistics - Theory and Methods, 36:2787-2803

Franck CT, Nielsen, DM and Osborne, JA. (2013) A Method for Detecting Hidden Additivity in two-factor Unreplicated Experiments, Computational Statistics and Data Analysis, 67:95-104.

Examples

data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
anova(cjejuni.out)
anova(cjejuni.out,method="KKSA")