This process consists of finding the coefficient of the distances of similarity of binary tables (1 and 0) as used for scoring molecular marker data for presence and absence of PCR amplification products.

cv.similarity(A)

Arguments

A

matrix of binary data

Value

Returns the coefficient of variation of the similarity model

See also

Examples

# molecular markers. library(agricolae) data(markers) cv<-cv.similarity(markers)