Partition2HypotMatrix: Create binary hypothesis

In lem-usp/EvolQG: Evolutionary Quantitative Genetics

Create binary hypothesis

Description

Takes a vetor describing a trait partition and returns a binary matrix of the partitions where each line represents a trait and each column a module. In the output matrix, if modularity.hypot[i,j] == 1, trait i is in module j.

Usage

Partition2HypotMatrix(x)

Arguments

x	vector of trait partition. Each partition receive the same symbol.

Value

Matrix of hypothesis. Each line represents a trait and each column a module. if modularity.hypot[i,j] == 1, trait i is in module j.

Examples

x = sample(c(1, 2, 3), 10, replace = TRUE)
Partition2HypotMatrix(x) 

lem-usp/EvolQG documentation built on April 14, 2024, 6:21 a.m.