R: Genetic/Environment and types of variables

lascaux {ade4} | R Documentation

## Genetic/Environment and types of variables

### Description

This data set gives meristic, genetic and morphological data frame for 306 trouts.

### Usage

    data(lascaux)

### Format

`lascaux` is a list of 9 components.

riv

  is a factor returning the river where 306 trouts are captured

code

  vector of characters : code of the 306 trouts

sex

  factor sex of the 306 trouts

meris

  data frame 306 trouts - 5 meristic variables

tap

  data frame of the total number of red and black points

gen

  factor of the genetic code of the 306 trouts

morpho

  data frame 306 trouts 37 morphological variables

colo

  data frame 306 trouts 15 variables of coloring

ornem

  data frame 306 trouts 15 factors (ornementation)

### Source

Lascaux, J.M. (1996) Analyse de la variabilité morphologique de la truite commune (Salmo trutta L.) dans les cours d'eau du bassin pyrénéen méditerranéen. Thèse de doctorat en sciences agronomiques, INP Toulouse.

### References

See a data description at http://pbil.univ-lyon1.fr/R/pdf/pps022.pdf (in French).

### Examples

    data(lascaux)

    if(adegraphicsLoaded()) {
      g1 <- s1d.barchart(dudi.pca(lascaux$meris, scan = FALSE)$eig, psub.text = "Meristic",
        p1d.horizontal = FALSE, plot = FALSE)
      g2 <- s1d.barchart(dudi.pca(lascaux$colo, scan = FALSE)$eig, psub.text = "Coloration",
        p1d.horizontal = FALSE, plot = FALSE)
      g3 <- s1d.barchart(dudi.pca(na.omit(lascaux$morpho), scan = FALSE)$eig,
        psub.text = "Morphometric", p1d.horizontal = FALSE, plot = FALSE)
      g4 <- s1d.barchart(dudi.acm(na.omit(lascaux$orne), scan = FALSE)$eig,
        psub.text = "Ornemental", p1d.horizontal = FALSE, plot = FALSE)

      G <- ADEgS(c(g1, g2, g3, g4), layout = c(2, 2))

    } else {
      par(mfrow = c(2,2))
      barplot(dudi.pca(lascaux$meris, scan = FALSE)$eig)
      title(main = "Meristic")
      barplot(dudi.pca(lascaux$colo, scan = FALSE)$eig)
      title(main = "Coloration")
      barplot(dudi.pca(na.omit(lascaux$morpho), scan = FALSE)$eig)
      title(main = "Morphometric")
      barplot(dudi.acm(na.omit(lascaux$orne), scan = FALSE)$eig)
      title(main = "Ornemental")
      par(mfrow = c(1,1))
    }

[Package ade4 version 1.7-17 Index]