boot.ratio.test: 'boot.ratio.test' computes bootstrap ratios from a "bootstrap...

In HerveAbdi/PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data

boot.ratio.test computes bootstrap ratios from a "bootstrap cube."

Description

boot.ratio.test computes bootstrap ratios from a "bootstrap cube" (created, e.g., by Boot4PTCA). NB: this function is a "modified clone" of InPosition::boot.ratio.test; It differs from InPosition::boot.ratio.test only by the suppression of the critical value in the returned list and by the addition of prob.boot.ratios and prob.boot.ratios.cor in the returned list (see Value below).

Usage

boot.ratio.test(boot.cube, critical.value = 2, names4Dimensions = "Dimension ")

Arguments

boot.cube	An I*L*B bootstrap brick (typically obtained from Boot4PTCA). The third dimension (B) corresponds to the random factor of the "to-be-bootstrapped-units" (e.g., judges, participants, assessors).
critical.value	The critical value for significance (default = 2, which matches a p < .05 significance level).
names4Dimensions	names for the dimensions (a.k.a. Factors), Default: 'Dimension '. If names4Dimensions = NULL, the name of the dimensions is inherited from the colnames of boot.cube.

Value

A list: 1) sig.boot.ratios: A logical vector that identifies the significant items. 2) boot.ratios: the bootstrap ratios 3) prob.boot.ratios: the (uncorrected) probability associated to the bootstrap ratios 4) prob.boot.ratios.cor: the (Sidak/Bonferonni) corrected probability associated to the bootstrap ratios.

Author(s)

Derek Beaton & Hervé Abdi

Examples

## Not run: 
BR <- boot.ratio.test(BootI)

## End(Not run)

HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.