yanomama {ade4}R Documentation

Distance Matrices

Description

This data set gives 3 matrices about geographical, genetic and anthropometric distances.

Usage

data(yanomama)

Format

yanomama is a list of 3 components:

    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)
}

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