yanomama {ade4} | R Documentation |
This data set gives 3 matrices about geographical, genetic and anthropometric distances.
data(yanomama)
yanomama
is a list of 3 components:
Spielman, R.S. (1973) Differences among Yanomama Indian villages: do the patterns of allele frequencies, anthropometrics and map locations correspond? American Journal of Physical Anthropology, 39, 461–480.
Table 7.2 Distance matrices for 19 villages of Yanomama Indians. All distances are as given by Spielman (1973), multiplied by 100 for convenience in: Manly, B.F.J. (1991) Randomization and Monte Carlo methods in biology Chapman and Hall, London, 1–281.
data(yanomama) gen <- quasieuclid(as.dist(yanomama$gen)) # depends of mva ant <- quasieuclid(as.dist(yanomama$ant)) # depends of mva par(mfrow = c(2,2)) plot(gen, ant) t1 <- mantel.randtest(gen, ant, 99); plot(t1, main = "gen-ant-mantel") ; print(t1) t1 <- procuste.rtest(pcoscaled(gen), pcoscaled(ant), 99) plot(t1, main = "gen-ant-procuste") ; print(t1) t1 <- RV.rtest(pcoscaled(gen), pcoscaled(ant), 99) plot(t1, main = "gen-ant-RV") ; print(t1)