agricolae (version 1.0-4)

durbin.test: 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

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")