| anova.HiddenF {hiddenf} | R Documentation |
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
## S3 method for class 'HiddenF'
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’
Author(s)
Jason A. Osborne, Bongseog Choi and Christopher T. Franck
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")