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It finds the similarity matrix of binary tables (1 and 0).
similarity(A)
Distance matrix. Class = dist.
Matrix, data binary
Felipe de Mendiburu
cv.similarity, resampling.cv
cv.similarity
resampling.cv
#example table of molecular markers library(agricolae) data(markers) distance<-similarity(markers) #startgraph tree<-hclust(distance,method="mcquitty") plot(tree,col="blue") #endgraph
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