costatis: STATIS and Co-Inertia : Analysis of a series of paired...

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

Description

Analysis of a series of pairs of ecological tables. This function uses Partial Triadic Analysis (pta) and coinertia to do the computations.

Usage

costatis(KTX, KTY, scannf = TRUE)

Arguments

KTX	an objet of class ktab
KTY	an objet of class ktab
scannf	a logical value indicating whether the eigenvalues bar plot should be displayed

Details

This function takes 2 ktabs. It does a PTA (partial triadic analysis: pta) on each ktab, and does a coinertia analysis (coinertia) on the compromises of the two PTAs.

Value

a list of class coinertia, subclass dudi. See coinertia

WARNING

IMPORTANT : KTX and KTY must have the same k-tables structure, the same number of columns, and the same column weights.

Author(s)

Jean Thioulouse [e-mail]

References

Thioulouse J. (2011). Simultaneous analysis of a sequence of paired ecological tables: a comparison of several methods. Annals of Applied Statistics, 5, 2300-2325.

Examples

data(meau)
wit1 <- withinpca(meau$env, meau$design$season, scan = FALSE, scal = "total")
pcaspe <- dudi.pca(meau$spe, scale = FALSE, scan = FALSE, nf = 2)
wit2 <- wca(pcaspe, meau$design$season, scan = FALSE, nf = 2)
kta1 <- ktab.within(wit1, colnames = rep(c("S1","S2","S3","S4","S5","S6"), 4))
kta2 <- ktab.within(wit2, colnames = rep(c("S1","S2","S3","S4","S5","S6"), 4))
costatis1 <- costatis(kta1, kta2, scan = FALSE)
plot(costatis1)

Example output

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