Distance Matrices
This data set gives 3 matrices about geographical, genetic and anthropometric distances.
data(yanomama)
yanomama is a list of 3 components:
is a matrix of 19-19 geographical distances
is a matrix of 19-19 SFA (genetic) distances
is a matrix of 19-19 anthropometric distances
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.