get_n_significant_conditions: Count number of conditions each effect is significant in

In mashr: Multivariate Adaptive Shrinkage

Count number of conditions each effect is significant in

Description

Count number of conditions each effect is significant in

Usage

get_n_significant_conditions(
  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

Value

a vector containing the number of significant conditions

Examples

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

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