| costatis {ade4} | R Documentation |
Analysis of a series of pairs of ecological tables. This function uses Partial Triadic Analysis (pta) and coinertia to do the computations.
costatis(KTX, KTY, scannf = TRUE)
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 |
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.
a list of class coinertia, subclass dudi. See coinertia
IMPORTANT : KTX and KTY must have the same k-tables structure, the same number of columns, and the same column weights.
Jean Thioulouse Jean.Thioulouse@univ-lyon1.fr
Thioulouse J. (2011). Simultaneous analysis of a sequence of paired ecological tables: a comparison of several methods. Annals of Applied Statistics, 5, 2300-2325.
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)