| foucart {ade4} | R Documentation |
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.
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, ...)
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 |
csub |
a character size for the legend, used with |
possub |
a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright") |
... |
further arguments passed to or from other methods |
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 |
P. Bady pierre.bady@univ-lyon1.fr
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr
Foucart, T. (1984) Analyse factorielle de tableaux multiples, Masson, Paris.
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)
}