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agricolae (version 1.0-1)

friedman.comp: The Friedman test

Description

The data consists of b mutually independent k-variate random variables called b blocks. The random variable is in a 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.comp(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

  • judgeVector
  • evaluationMatrix or data.frame
  • alphaNumeric
  • mainText

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

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

Examples

Run this code
library(agricolae)
data(friedman)
judge<-friedman[,1]
evaluation<-friedman[,-1]
compara<-friedman.comp(judge,evaluation, main="Data of the book of Conover")

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