correct_mult_comp: Multiple comparison correction

In idea-labs/comsldpsy: Data and analysis code for Visser et. al (2020)

Description

Applies multiple comparison correction by controlling the false discovery rate (FDR) using the modified FDR procedure by Benjamini and Yekutieli (2001)

Usage

correct_mult_comp(data, var_name, threshold = 0.05)

Arguments

data	tbl. A tidy data frame with statistical test results
var_name	character (vector). Column name(s) with p-values
threshold	double. False discovery rate, Default: 0.05

Value

tbl. The input data frame with an additional column indicating whether a p-value survived multiple comparison correction

References

Benjamini, Y., & Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. The Annals of Statistics, 29 (4), 1165–1188.

See Also

stats::p.adjust()

idea-labs/comsldpsy documentation built on April 14, 2020, 4:28 p.m.