foucart {ade4}R Documentation

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)
plot.foucart(x, xax = 1, yax = 2, clab = 1, csub = 2, 
    possub = "bottomright", ...) 
print.foucart(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)

P. Bady pierre.bady@univ-lyon1.fr
Anne B Dufour dufour@biomserv.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$fau, meaudret$plan$dat)
l1 <- lapply(l1, function(x) 
    {row.names(x) <- paste("Sta",1:5,sep="");x})
fou2 <- foucart(l1, scan = FALSE)
kplot(fou2, clab.r = 2)

[Package ade4 version 1.4-0 Index]