| 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
P, Q and non-additivity analysis of variance
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
analysis<-with(potato,nonadditivity(cutting, date, variety, df, MSerror))