HiddenF: Hidden F function for matrix data

In hiddenf: The All-Configurations, Maximum-Interaction F-Test for Hidden Additivity

Description

Fits linear model to ymtx, a matrix of responses of dimension r-by-c. Constructs all possible configurations of rows into two non-empty groups, then, for each configuration, fits full factorial effects models with three factors for group, group-by-column, row and row nested within column. The maximum F-ratio for group-by-column interaction is reported along with Bonferroni-adjusted p-value.

Usage

HiddenF(ymtx)

Arguments

ymtx	A matrix of responses, with rows corresponding to levels of one factor, and columns the levels of a second factor

Value

List-object of class ‘HiddenF’ with components

adjpvalue	(Bonferroni-adjusted) pvalue from configuration with maximal hidden additivity
config.vector	Vector of group indicators for configuration with maximal hidden additivity
tall	A list with components y, row, col
cc	Number of possible configurations

Author(s)

Jason A. Osborne [e-mail], Christopher T. Franck and Bongseog Choi

References

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.

See Also

summary.HiddenF

Examples

library(hiddenf)
data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
summary(cjejuni.out) 

hiddenf documentation built on May 2, 2019, 2:47 p.m.