get_significant_results: Find effects that are significant in at least one condition

In mashr: Multivariate Adaptive Shrinkage

Find effects that are significant in at least one condition

Description

Find effects that are significant in at least one condition

Usage

get_significant_results(m, thresh = 0.05, conditions = NULL, sig_fn = get_lfsr)

Arguments

m	the mash result (from joint or 1by1 analysis)
thresh	indicates the threshold below which to call signals significant
conditions	which conditions to include in check (default to all)
sig_fn	the significance function used to extract significance from mash object; eg could be ashr::get_lfsr or ashr::get_lfdr. (Small values must indicate significant.)

Value

a vector containing the indices of the significant effects, by order of most significant to least

Examples

simdata = simple_sims(50,5,1)
data = mash_set_data(simdata$Bhat, simdata$Shat)
m = mash(data, cov_canonical(data))
get_significant_results(m)

mashr documentation built on Oct. 18, 2023, 5:08 p.m.