durbin.test {agricolae} | R Documentation |
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.
durbin.test(judge, trt, evaluation, alpha = 0.05, group =TRUE, main = NULL)
judge |
Identification of the judge in the evaluation |
trt |
Treatments |
evaluation |
variable |
alpha |
level of significant |
group |
TRUE or FALSE |
main |
Title |
juege |
Vector, numeric |
trt |
Vector, numeric |
evaluation |
Vector, numeric |
alpha |
Vector, numeric, default is 0.05 |
group |
Logic |
main |
text |
Felipe de Mendiburu
Practical Nonparametrics Statistics. W.J. Conover, 1999 Nonparametric Statistical Methods. Myles Hollander and Douglas A. Wofe, 1999
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")