witwit.coa {ade4}R Documentation

Internal Correspondence Analysis

Description

witwit.coa performs an Internal Correspondence Analysis. witwitsepan gives the computation and the barplot of the eigenvalues for each separated analysis in an Internal Correspondence Analysis.

Usage

witwit.coa(dudi, row.blocks, col.blocks, scannf = TRUE, nf = 2)
summary.witwit(object, ...)
witwitsepan(ww, mfrow = NULL, csub = 2, plot = TRUE)

Arguments

dudi an object of class coa
row.blocks a numeric vector indicating the row numbers for each block of rows
col.blocks a numeric vector indicating the column numbers for each block of columns
scannf a logical value indicating whether the eigenvalues bar plot should be displayed
nf if scannf FALSE, an integer indicating the number of kept axes
object an object of class witwit
... further arguments passed to or from other methods
ww an object of class witwit
mfrow
csub
plot

{if FALSE, numeric results are returned}

Value

returns a list of class witwit, coa and dudi (see as.dudi) containing

rbvar a data frame with the within variances of the rows of the factorial coordinates
lbw a data frame with the marginal weighting of the row classes
cvar a data frame with the within variances of the columns of the factorial coordinates
cbw a data frame with the marginal weighting of the column classes

Author(s)

Daniel Chessel chessel@biomserv.univ-lyon1.fr Anne B Dufour dufour@biomserv.univ-lyon1.fr

References

Cazes, P., Chessel, D. and Dolédec, S. (1988) L'analyse des correspondances internes d'un tableau partitionné : son usage en hydrobiologie. Revue de Statistique Appliquée, 36, 39–54.

Examples

data(ardeche)
coa1 <- dudi.coa(ardeche$tab, scann = FALSE, nf = 4)
ww <- witwit.coa(coa1, ardeche$row.blocks, ardeche$col.blocks, scann = FALSE)
ww
s.class(ww$co, ardeche$sta.fac, clab = 1.5, cell = 0, axesell = FALSE)
s.label(ww$co, add.p = TRUE, clab = 0.75)
summary(ww)

witwitsepan(ww, c(4,6))

[Package ade4 version 1.4-0 Index]