## Not run:
# ## Let's make some cattle hybrids
# data(microbov)
#
# ## first, isolate each breed
# temp <- seppop(microbov)
# names(temp)
# salers <- temp$Salers
# zebu <- temp$Zebu
#
# ## let's make some... Zeblers
# zebler <- hybridize(salers, zebu, n=40,
# pop="Zebler")
#
#
# ## now let's merge all data into a single genind
# newDat <- repool(microbov, zebler)
#
# ## make a correspondance analysis
# ## and see where hybrids are placed
# X <- genind2genpop(newDat, quiet=TRUE)
# coa1 <- dudi.coa(tab(X),scannf=FALSE,nf=3)
# s.label(coa1$li)
# add.scatter.eig(coa1$eig,2,1,2)
#
# ## End(Not run)
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