rcompanion (version 1.13.2)

pairwiseMedianTest: Pairwise Mood's median tests

Description

Conducts pairwise Mood's median tests across groups.

Usage

pairwiseMedianTest(formula = NULL, data = NULL, x = NULL, g = NULL,
  exact = NULL, method = "fdr", ...)

Arguments

formula

A formula indicating the measurement variable and the grouping variable. e.g. y ~ group.

data

The data frame to use.

x

The response variable as a vector.

g

The grouping variable as a vector.

exact

If TRUE, then asks the mood.medtest function to conduct an exact test. If NULL, then uses an exact test if the number of values is less than 200. See mood.medtest.

method

The p-value adjustment method to use for multiple tests. See p.adjust.

...

Additional arguments passed to codemood.medtest.

Value

A dataframe of the groups being compared, the p-values, and the adjusted p-values.

Details

The input should include either formula and data; or x, and g.

Mood's median test compares medians among two or more groups. See http://rcompanion.org/handbook/F_09.html for futher discussion of this test.

The pairwiseMedianTest function can be used as a post-hoc method following an omnibus Mood's median test.

References

http://rcompanion.org/handbook/F_09.html

See Also

pairwiseMedianMatrix

Examples

# NOT RUN {
data(PoohPiglet)
PoohPiglet$Speaker = factor(PoohPiglet$Speaker,
                     levels = c("Pooh", "Tigger", "Piglet"))
PT = pairwiseMedianTest(Likert ~ Speaker,
                        data   = PoohPiglet,
                        exact  = NULL,
                        method = "fdr")
PT                         
cldList(comparison = PT$Comparison,
        p.value    = PT$p.adjust,
        threshold  = 0.05)                         

# }