p.threshold.adjust: Calculate Vector of p-value Thresholds for Multiple Inference

In QCAfalsePositive: Tests for Type I Error in Qualitative Comparative Analysis (QCA)

Description

Internal function. Calculates the adjusted thresholds for multiple significance tests, assuming that the original threshold for a single test is p<0.05. Used by fsQCApermTest to calculate confidence intervals.

Usage

p.threshold.adjust(total.configs, my.method)

Arguments

total.configs	The total number of hypotheses tested, or the number of configurations utilized by the Quine-McCluskey algorithm in fsQCA (including logical remainders, if they are used in the analysis).
my.method	The adjustment method used to calculate p-values (see p.adjust for details).

Value

Numeric vector giving adjusted p-value thresholds, from smallest to largest.

Examples

p.threshold.adjust(10, "holm")

Example output

 [1] 0.005000000 0.005555556 0.006250000 0.007142857 0.008333333 0.010000000
 [7] 0.012500000 0.016666667 0.025000000 0.050000000

QCAfalsePositive documentation built on May 2, 2019, 6:40 a.m.