durbin.test {agricolae}R Documentation

Durbin test and multiple comparison of treatments

Description

A multiple comparison of the Durbin test for the balanced incomplete blocks for sensorial or categorical evaluation. It forms groups according to the demanded ones for level of significance (alpha); by default, 0.05.

Usage

durbin.test(judge, trt, evaluation, alpha = 0.05, group =TRUE, main = NULL)

Arguments

judge Identification of the judge in the evaluation
trt Treatments
evaluation variable
alpha level of significant
group TRUE or FALSE
main Title

Value

juege Vector, numeric
trt Vector, numeric
evaluation Vector, numeric
alpha Vector, numeric, default is 0.05
group Logic
main text

Author(s)

Felipe de Mendiburu

References

Practical Nonparametrics Statistics. W.J. Conover, 1999 Nonparametric Statistical Methods. Myles Hollander and Douglas A. Wofe, 1999

See Also

kruskal, friedman,BIB.test

Examples

library(agricolae)
# Example 1. Conover, pag 391
person<-gl(7,3)
variety<-c(1,2,4,2,3,5,3,4,6,4,5,7,1,5,6,2,6,7,1,3,7)
preference<-c(2,3,1,3,1,2,2,1,3,1,2,3,3,1,2,3,1,2,3,1,2)
comparison<-durbin.test(person,variety,preference,group=TRUE,
main="Seven varieties of ice cream manufacturer")
#startgraph
bar.group(comparison,horiz=TRUE,xlim=c(0,20),density=4)
#endgraph
# Example 2. Myles Hollander, pag 311
# Source: W. Moore and C.I. Bliss. 1942
day<-gl(7,3)
chemical<-c("A","B","D","A","C","E","C","D","G","A","F","G","B","C","F",
 "B","E","G","D","E","F")
toxic<-c(0.465,0.343,0.396,0.602,0.873,0.634,0.875,0.325,0.330,0.423,0.987,
0.426,0.652,1.142,0.989,0.536,0.409,0.309,0.609,0.417,0.931)
comparison<-durbin.test(day,chemical,toxic,group=TRUE,
main="Logarithm of Toxic Dosages")

[Package agricolae version 1.0-6 Index]