ade4: foucart – R documentation

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foucart

K-tables Correspondence Analysis with the same rows and the same columns

Description

K tables have the same rows and the same columns.
Each table is transformed by P = X/sum(X). The average of P is computing.
A correspondence analysis is realized on this average.
The initial rows and the initial columns are projected in supplementary elements.

Usage

foucart(X, scannf = TRUE, nf = 2)
## S3 method for class 'foucart'
plot(x, xax = 1, yax = 2, clab = 1, csub = 2, 
    possub = "bottomright", ...) 
## S3 method for class 'foucart'
print(x, ...)

Arguments

`X`	a list of data frame where the row names and the column names are the same for each table
`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

`x`	an object of class 'foucart'
`xax`	the column number of the x-axis
`yax`	the column number of the y-axis
`clab`	if not NULL, a character size for the labels, used with `par("cex")*clab`
`csub`	a character size for the legend, used with `par("cex")*csub`
`possub`	a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright")
`...`	further arguments passed to or from other methods

Value

foucart returns a list of the classes 'dudi', 'coa' and 'foucart'

`call`	origine
`nf`	axes-components saved
`rank`	rank
`blo`	useful vector
`cw`	vector: column weights
`lw`	vector: row weights
`eig`	vector: eigen values
`tab`	data.frame: modified array
`li`	data.frame: row coordinates
`l1`	data.frame: row normed scores
`co`	data.frame: column coordinates
`c1`	data.frame: column normed scores
`Tli`	data.frame: row coordinates (each table)
`Tco`	data.frame: col coordinates (each table)
`TL`	data.frame: factors for Tli
`TC`	data.frame: factors for Tco

Author(s)

Pierre Bady pierre.bady@univ-lyon1.fr
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

References

Foucart, T. (1984) Analyse factorielle de tableaux multiples, Masson, Paris.

Examples

data(bf88)
fou1 <- foucart(bf88, scann = FALSE, nf = 3)
fou1
plot(fou1)

data(meaudret)
l1 <- split(meaudret$spe, meaudret$design$season)
l1 <- lapply(l1, function(x) 
    {row.names(x) <- paste("Sit",1:5,sep="");x})
fou2 <- foucart(l1, scan = FALSE)

if(adegraphicsLoaded()) {
  kplot(fou2, row.plabels.cex = 2)
} else {
  kplot(fou2, clab.r = 2)
}

ade4

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

v1.7-16

GPL (>= 2)

Authors

Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre, Stéphanie Bougeard and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.

Initial release