aecdf: Approximate empirical commulative distribution function

In chrischen1/viper_copy: Virtual Inference of Protein-activity by Enriched Regulon analysis

Description

This function generates an empirical null model that computes a normalized statistics and p-value

Usage

aecdf(dnull, symmetric = FALSE, n = 100)

Arguments

dnull	Numerical vector representing the null model
symmetric	Logical, whether the distribution should betreated as symmetric around zero and only one tail should be approximated
n	Integer indicating the number of points to evaluate the empirical cummulative probability function

Value

function with two parameters, x and alternative

chrischen1/viper_copy documentation built on May 13, 2019, 6:52 p.m.