nonadditivity {agricolae}R Documentation

Nonadditivity model test

Description

The resistance for the transformable nonadditivity, due to J. W. Tukey, is based on the detection of a curvilinear relation between y-est(y) and est(y). A freedom degree for the transformable nonadditivity.

Usage

nonadditivity(y, factor1, factor2, df, MSerror)

Arguments

y Answer of the experimental unit
factor1 Firts treatment applied to each experimental unit
factor2 Second treatment applied to each experimental unit
df Degrees of freedom of the experimental error
MSerror Means square error of the experimental

Details

Only two factor: Block and treatment or factor 1 and factor 2.

Value

y Numeric
factor1 alfanumeric
factor2 alfanumeric
df Numeric
MSerror Numeric

Author(s)

Felipe de Mendiburu

References

1. Steel, R.; Torri,J; Dickey, D.(1997) Principles and Procedures of Statistics A Biometrical Approach

2. George E.P. Box; J. Stuart Hunter and William G. Hunter. Statistics for experimenters. Wile Series in probability and statistics

Examples

library(agricolae)
data(potato )
potato[,1]<-as.factor(potato[,1])
model<-lm(cutting ~ date + variety,potato)
df<-df.residual(model)
MSerror<-deviance(model)/df
attach(potato)
analysis<-nonadditivity(cutting, date, variety, df, MSerror)
detach(potato)

[Package agricolae version 1.0-6 Index]