summary.clusterlm {permuco}

Summarize of a clusterlm object.

Description

Display the corrected p-values for each effects.

Usage

## S3 method for class 'clusterlm'
summary(
  object,
  alternative = "two.sided",
  multcomp = NULL,
  table_type = NULL,
  ...
)

Arguments

object

A clusterlm object.

alternative

A character string indicating the alternative hypothesis. Choose between "two.sided", "greater", "less". Default is "two.sided".

multcomp

A character string indicating the multiple comparison procedure to display.

table_type

A character string indicating the type of table to display. Choose between "cluster", which aggregates test into pseudo-clusters (see details for the interpretations) or "full" which displays the p-values for all tests. See details for default values.

...

Further arguments see details.

Details

It creates the full table when the number of tests is <=15 and creates a table of pseudo-clusters overwise. Note that for the "troendle" method is not based on clustering of the data and the table of pseudo-clusters should only be used to facilitate the reading of the results.

Value

A table for each effect indicating the statistics and p-values of the clusters.

See Also

Other summary: print.clusterlm()