witwit.coa {ade4} | R Documentation

## Internal Correspondence Analysis

### Description

performs an Internal Correspondence Analysis.

### Usage

    witwit.coa(dudi, row.blocks, col.blocks, scannf = TRUE, nf = 2)
    summary.witwit(object, ...)

### 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

### Author(s)

Daniel Chessel chessel@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)

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