RVAideMemoire (version 0.9-6)

cochran.qtest: Cochran Q test

Description

Perform the Cochran Q test for unreplicated randomized block design experiments whith a binary response variable and paired data. If the p-value of the test is significative, the function performs pairwise comparisons using Wilcoxon sign test.

Usage

cochran.qtest(resp, fact, block, alpha = 0.05, p.method = "fdr")

Arguments

resp

response variable (binary vector).

fact

factor.

block

factor for blocks of paired data (random factor).

alpha

significance level to compute pairwise comparisons.

p.method

method for p-values correction. See help of the p.adjust() function.

Value

• data
  variables name.
• alpha
  significance level.
• Q
  test statistics.
• p.value
  p-value of the global test.
• tab.test
  data.frame of global test result
• p.method
  method for p-values correction.
• p.multcomp
  corrected p-values
• multcomp
  data.frame of pairwise comparisons result.

Examples

response<-c(0,1,1,0,0,1,0,1,1,1,1,1,0,0,1,1,0,1,0,1,1,0,0,1,0,1,1,0,0,1)
factor<-factor(rep(LETTERS[1:3],10))
block<-factor(rep(letters[1:10],each=3))
cochran.qtest(response,factor,block)