Rediscover (version 0.3.3)

getMutexGroup: getMutexGroup function

Description

Given a binary matrix and its corresponding probability matrix pij, compute the Poisson Binomial method to estimate mutual exclusive events.

Usage

getMutexGroup(A = NULL, PM = NULL, type = "Impurity", lower.tail = TRUE)

Value

A symmetric matrix with the p.value of the corresponding test.

Arguments

A

The binary matrix

PM

The corresponding probability matrix of A. It can be computed using function getPM. By default equal to getPM(A)

type

one of Coverage, Exclusivity or Impurity. By default is Impurity

lower.tail

True if mutually exclusive test. False for co-ocurrence. By default is TRUE.

Examples

  #This first example is a basic 
  #example of how to perform getMutexGroup
  
  data("A_example")
  A2 <- A_example[,1:30]
  A2[1,1:10] <- 1
  A2[2,1:10] <- 0
  A2[3,1:10] <- 0
  A2[1,11:20] <- 0
  A2[2,11:20] <- 1
  A2[3,11:20] <- 0
  A2[1,21:30] <- 0
  A2[2,21:30] <- 0
  A2[3,21:30] <- 1
  PM2 <- getPM(A2)
  A <- A2[1:3,]
  PM <- PM2[1:3,]
  
  getMutexGroup(A, PM, "Impurity")
  getMutexGroup(A, PM, "Coverage")
  getMutexGroup(A, PM, "Exclusivity")