Partition2HypotMatrix function

Create binary hypothesis

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.

Partition2HypotMatrix(x)

Arguments

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

Returns

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)