meaudret {ade4}R Documentation

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.

mil
is a data frame with 20 sites and 9 variables.
fau
is a data frame with 20 sites and 13 Ephemeroptera Species.
plan
is a data frame with 20 sites and 2 factors.
  1. datis a factor with 4 levels-seasons.
  2. stais a factor with 5 levels-sites along the Meaudret river.
fau.names
is a character vector containing the names of the 13 species.

Details

Data set equivalents to meau: the site (6) along the Bourne, a Meaudret affluent, was removed ; the oxygen concentration were removed from the physico-chemical data frame.

Source

Pegaz-Maucet, D. (1980) Impact d'une perturbation d'origine organique sur la dérive des macro-invertébérés benthiques d'un cours d'eau. Comparaison avec le benthos. Thèse de troisième 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)
par(mfrow = c(2,2))
pca1 <- dudi.pca(meaudret$mil, scan = FALSE, nf = 4)
s.class(pca1$li, meaudret$plan$dat, 
    sub = "Principal Component Analysis")
pca2 <- between(pca1, meaudret$plan$dat, scan = FALSE, nf = 2)
s.class(pca2$ls, meaudret$plan$dat, sub = "Between dates Principal Component Analysis")
s.corcircle(pca1$co)
s.corcircle(pca2$as)

Worked out examples


> library(ade4)
> ### Name: meaudret
> ### Title: Ecological Data : sites-variables, sites-species, where and when
> ### Aliases: meaudret
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(meaudret)
> par(mfrow = c(2,2))
> pca1 <- dudi.pca(meaudret$mil, scan = FALSE, nf = 4)
> s.class(pca1$li, meaudret$plan$dat, 
+     sub = "Principal Component Analysis")
> pca2 <- between(pca1, meaudret$plan$dat, scan = FALSE, nf = 2)
> s.class(pca2$ls, meaudret$plan$dat, sub = "Between dates Principal Component Analysis")
> s.corcircle(pca1$co)
> s.corcircle(pca2$as)
> 
> 
> 
> 

[Package ade4 Index]