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

    library(mva)
        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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