Plot of the factorial maps for a fuzzy correspondence analysis
performs the scatter diagrams of a fuzzy correspondence analysis.
## S3 method for class 'fca'
scatter(x, xax = 1, yax = 2, clab.moda = 1, labels = names(x$tab),
sub = NULL, csub = 2, ...)x |
an object of class |
xax |
the column number for the x-axis |
yax |
the column number for the y-axis |
clab.moda |
the character size to write the modalities |
labels |
a vector of strings of characters for the labels of the modalities |
sub |
a vector of strings of characters to be inserted as legend in each figure |
csub |
a character size for the legend, used with |
... |
further arguments passed to or from other methods |
Daniel Chessel
Chevenet, F., Dolédec, S. and Chessel, D. (1994) A fuzzy coding approach for the analysis of long-term ecological data. Freshwater Biology, 31, 295–309.
data(coleo)
coleo.fuzzy <- prep.fuzzy.var(coleo$tab, coleo$col.blocks)
fca1 <- dudi.fca(coleo.fuzzy, sca = FALSE, nf = 3)
if(adegraphicsLoaded()) {
plot(fca1)
} else {
scatter(fca1, labels = coleo$moda.names, clab.moda = 1.5,
sub = names(coleo$col.blocks), csub = 3)
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