`cv.similarity` <-
function(A) {
nc<-ncol(A)
nf <- nrow(A)
suma<-rep(0,nf*(nf-1)/2)
ik<-0
for (k1 in 1:(nf-1)) {
for (k2 in (k1+1):nf) {
mm<- na.omit(c(A[k1,] == A[k2,]))
npar<-length(mm)
sii <- sum(mm)
# npares<- min( length(na.omit(A[k1,])),length(na.omit(A[k2,])) )
ik<-ik+1
suma[ik]<- sii/npar # chequear el numero de posibilidades
}
}
cv<-sd(suma,na.rm=TRUE)*100/mean(suma,na.rm=TRUE)
return(cv)
}