ade4 (version 1.01)

yanomama: Distance Matrices

Description

This data set gives 3 matrices about goegroaphical, genetic and anthropoemtric distances.

Usage

data(yanomama)

format

yanomama is a list of 3 components:

1. geo

{is a matrix of 19-19 geographical distances} gen{is a matrix of 19-19 SFA (genetic) distances} ant{is a matrix of 19-19 anthropometric distances}

source

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.

References

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.

Examples

if (require(mva, quietly = TRUE)) {
	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)
	par(mfrow = c(1,1))
}