ade4 (version 1.7-15)

lascaux: 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)

References

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

Examples

# NOT RUN {
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))
}
# }

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