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agricolae (version 1.0-1)

durbin.group: Durbin test and multiple comparison of treatments

Description

Multiple comparison of the Durbin test for the balanced incomplete blocks for sensorial or categorical evaluation. Forms groups according to a the asked for level of significance (alpha), by default 0.05.

Usage

durbin.group(judge, trt, evaluation, k, r, alpha = 0.05, main = NULL)

Arguments

judge
Identification of the judge in the evaluation
trt
Treatments
evaluation
variable
k
Number of evaluations by judge
r
Number of replications of the treatment
alpha
level of significant
main
Title

Value

  • juegeVector, numeric
  • trtVector, numeric
  • evaluationVector, numeric
  • kVector, numeric
  • rVector, numeric
  • alphaVector, numeric, default is 0.05
  • maintext

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

durbin.comp, kruskal.comp, friedman.comp, kruskal.group, friedman.group

Examples

Run this code
library(agricolae)
data(sensorial)
attach(sensorial)
comparison<-durbin.group(judge,trt,texture,k=5,r=3,alpha=0.01,main="Clay")
#startgraph
bar.group(comparison,horiz=TRUE,xlim=c(0,20),density=4)
#endgraph

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