combinep: Combined several interaction tests

In sdateam/combinIT: Combine Interaction Tests for testing interaction in unreplicated two-way tables

Description

Reports p-values tests for non-additivity developed by Boik (1993a), Piepho (1994), Kharrati-Kopaei and Sadooghi-Alvandi (2007), Franck et al. (2013), Malik et al. (2016) and Kharrati-Kopaei and Miller (2016). In addition by use of four combination methods: Bonferroni, Sidak, Jacobi expantion, and Gaussian Copula combined reported p-values.

Usage

combinep(x, nsim = 500, nc0 = 10000, ...)

Arguments

x	A data matrix in two-factor analysis
nsim	Number of simulation for compueting exact p.value
dist	If dist="sim", we used Monte Carlo simulation for estimating exact p-value, and if dist="asy", the p.values is estimated from an asymptotic distribuion. The defaut value is "sim".

Details

If rows numer(b) of data matrix is less than it's columns number(t) we transpose data matrix. In addition requires that data matrix has more than two rows or columns.

Needs "mvtnorm" packages

Value

A p.value for input

Author(s)

Zahra. Shenavari, ...

References

Shenavari, Z.,Kharrati-Kopaei, M. (2018). A Method for Testing Additivity in Unreplicated Two-Way Layouts Based on Combining Multiple Interaction Tests.International Statistical Review

Examples

## Not run: this is an example
data(cnv6)
combinep(cnv6,nsim=500,nc0=10000)

sdateam/combinIT documentation built on May 6, 2019, 12:10 p.m.