Skip to contents

Given a matrix of observations, computes p-values for out of range features.

Source: R/pvalues.R
ecdf_pvals.Rd

For every observation the function will compute it's two-sided p-value based on stats::ecdf(). This will tell you how unlikely is it to observe such a value given the reference distribution.Then it will use Holm's method to correct p-values for every observation and return number of significantly out-of-range features.

Usage

ecdf_pvals(obs, reference = NULL)

Arguments

obs

a matrix of observation, where every column is a variable and every row is an observation

reference

either a data.frame with reference variable distributions or a list of stats::ecdf functions computed based on reference distribution. If NULL, cd8ip_features_distribution is used.

Value

a data.frame of p-values