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)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.
vector of trait partition. Each partition receive the same symbol.
x = sample(c(1, 2, 3), 10, replace = TRUE)
Partition2HypotMatrix(x)
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