agricolae (version 1.0-1)

friedman.group: Friedman Test and multiple comparison of treatments, group

Description

The data consist of b mutually independent k-variate random variables called b blocks. The random variable is in block and associated with treatment. It makes the multiple comparison of the test of Friedman with or without ties. A first result is obtained by friedman.test of R.

Usage

friedman.group(judge, evaluation, alpha = 0.05, main = NULL)

Arguments

judge

Identification of the judge in the evaluation

evaluation

Variable. The names of the columns are the treatments

alpha

Significant test

main

Title

Value

• judge
  Vector
• evaluation
  Matrix or data.frame
• alpha
  Numeric
• main
  Text

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

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

Examples

library(agricolae)
data(friedman)
judge<-friedman[,1]
evaluation<-friedman[,-1]
comparison<-friedman.group(judge,evaluation,alpha=0.05,main="Data of the book of Conover")
#startgraph
bar.group(comparison,density=3,border="red",col="blue",ylim=c(0,45))
#endgraph