betweencoinertia: Between-class coinertia analysis

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

Performs a between-class analysis after a coinertia analysis

Usage

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betweencoinertia(obj, fac, scannf = TRUE, nf = 2)
## S3 method for class 'coinertia'
bca(x, fac, scannf = TRUE, nf = 2, ...) 

Arguments

obj

a coinertia analysis (object of class coinertia) obtained by the function coinertia

x

a coinertia analysis (object of class coinertia) obtained by the function coinertia

fac

a factor partitioning the rows in classes

scannf

a logical value indicating whether the eigenvalues barplot should be displayed

nf

if scannf FALSE, an integer indicating the number of kept axes

...

further arguments passed to or from other methods

Details

This analysis is equivalent to do a between-class analysis on each initial dudi, and a coinertia analysis on the two between analyses. This function returns additional outputs for the interpretation.

Value

An object of the class betcoi. Outputs are described by the print function

Note

To avoid conflict names with the base:::within function, the function within is now deprecated and will be removed. To be consistent, the betweencoinertia function is also deprecated and is replaced by the method bca.coinertia of the new generic bca function.

Author(s)

Stephane Dray stephane.dray@univ-lyon1.fr and Jean Thioulouse jean.thioulouse@univ-lyon1.fr

References

Franquet E., Doledec S., and Chessel D. (1995) Using multivariate analyses for separating spatial and temporal effects within species-environment relationships. Hydrobiologia, 300, 425–431.

See Also

coinertia, between

Examples

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data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 4)
pca2 <- dudi.pca(meaudret$spe, scal = FALSE, scan = FALSE, nf = 4)
   
bet1 <- bca(pca1, meaudret$design$site, scan = FALSE, nf = 2)
bet2 <- bca(pca2, meaudret$design$site, scan = FALSE, nf = 2)
coib <- coinertia(bet1, bet2, scannf = FALSE)

coi <- coinertia(pca1, pca2, scannf = FALSE, nf = 3)
coi.b <- bca(coi,meaudret$design$site, scannf = FALSE)
## coib and coi.b are equivalent

plot(coi.b)

Example output



ade4 documentation built on May 2, 2019, 5:50 p.m.

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