rpjdl {ade4}R Documentation

Avifauna and Vegetation

Description

This data set gives the abundance of 52 species and 8 environmental variables in 182 sites.

Usage

data(rpjdl)

Format

rpjdl is a list of 5 components.

fau
is the faunistic array of 182 sites (rows) and 52 species (columns).
mil
is the array of environmental variables : 182 sites and 8 variables.
frlab
is a vector of the names of species in French.
lalab
is a vector of the names of species in Latin.
lab
is a vector of the simplified labels of species.

Source

Prodon, R. and Lebreton, J.D. (1981) Breeding avifauna of a Mediterranean succession : the holm oak and cork oak series in the eastern Pyrénées. 1 : Analysis and modelling of the structure gradient. Oïkos, 37, 21–38.

Lebreton, J. D., Chessel D., Prodon R. and Yoccoz N. (1988) L'analyse des relations espèces-milieu par l'analyse canonique des correspondances. I. Variables de milieu quantitatives. Acta Oecologica, Oecologia Generalis, 9, 53–67.

References

See a data description at http://pbil.univ-lyon1.fr/R/pps/pps048.pdf (in French).

Examples

## Not run: 
data(rpjdl)
xy <- dudi.coa(rpjdl$fau, scann = FALSE)$l1
s.distri(xy, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)

xy1 <- dudi.pca(rpjdl$fau, scal = FALSE, scann = FALSE)$l1
s.distri(xy1, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)

cca1 <- cca(rpjdl$fau, rpjdl$mil, scan = FALSE)
plot(cca1)


## End(Not run)

Worked out examples


> library(ade4)
> ### Name: rpjdl
> ### Title: Avifauna and Vegetation
> ### Aliases: rpjdl
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(rpjdl)
> xy <- dudi.coa(rpjdl$fau, scann = FALSE)$l1
> s.distri(xy, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)
> 
> xy1 <- dudi.pca(rpjdl$fau, scal = FALSE, scann = FALSE)$l1
> s.distri(xy1, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)
> 
> cca1 <- cca(rpjdl$fau, rpjdl$mil, scan = FALSE)
> plot(cca1)
> 
> 
> 
> 
> 

[Package ade4 Index]