ade4 (version 1.7-6)

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 foucart
plot(x, xax = 1, yax = 2, clab = 1, csub = 2, 
    possub = "bottomright", …) 
# S3 method for 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

References

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

Examples

# NOT RUN {
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)
}
# }