null_sim: Null simulation: Generate uniformly distributed p-values and...

Description Usage Arguments Value Functions Examples

View source: R/simulations.R

Description

Null simulation: Generate uniformly distributed p-values and covariates

Usage

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null_sim(m, seed = NULL)

null_sim_fun(m)

Arguments

m

Integer, total number of hypotheses

seed

Integer, Random seed to be used for simulation (default: NULL, i.e. RNG state will be used as is)

Value

A data frame containing all information about the simulation experiment

Functions

Examples

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sim_df <- null_sim(20000)

nignatiadis/ihwPaper documentation built on Jan. 18, 2021, 3:13 p.m.