meaudret: Ecological Data : sites-variables, sites-species, where and...

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

Ecological Data : sites-variables, sites-species, where and when

Description

This data set contains information about sites, environmental variables and Ephemeroptera Species.

Usage

data(meaudret)

Format

meaudret is a list of 4 components.

env

is a data frame with 20 sites and 9 variables.

fau

is a data frame with 20 sites and 13 Ephemeroptera Species.

design

is a data frame with 20 sites and 2 factors.

• season is a factor with 4 levels = seasons.

• site is a factor with 5 levels = sites along the Meaudret river.

spe.names

is a character vector containing the names of the 13 species.

Details

Data set equivalents to meau: site (6) on the Bourne (a Meaudret affluent) and oxygen concentration were removed.

Source

Pegaz-Maucet, D. (1980) Impact d'une perturbation d'origine organique sur la dérive des macro-invertébrés benthiques d'un cours d'eau. Comparaison avec le benthos. Thèse de 3ème cycle, Université Lyon 1, 130 p.

Thioulouse, J., Simier, M. and Chessel, D. (2004) Simultaneous analysis of a sequence of paired ecological tables. Ecology, 85, 1, 272–283.

Examples

data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 4)
pca2 <- bca(pca1, meaudret$design$season, scan = FALSE, nf = 2)
  
if(adegraphicsLoaded()) {
  g1 <- s.class(pca1$li, meaudret$design$season, 
    psub.text = "Principal Component Analysis", plot = FALSE)
  g2 <- s.class(pca2$ls, meaudret$design$season, 
    psub.text = "Between dates Principal Component Analysis", plot = FALSE)
  g3 <- s.corcircle(pca1$co, plot = FALSE)
  g4 <- s.corcircle(pca2$as, plot = FALSE)
  G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))

} else {
  par(mfrow = c(2, 2))
  s.class(pca1$li, meaudret$design$season, sub = "Principal Component Analysis")
  s.class(pca2$ls, meaudret$design$season, sub = "Between dates Principal Component Analysis")
  s.corcircle(pca1$co)
  s.corcircle(pca2$as)
  par(mfrow = c(1, 1))
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.