Plot of the factorial maps for a fuzzy correspondence analysis

performs the scatter diagrams of a fuzzy correspondence analysis.

Usage

# S3 method for class 'fca'
scatter(x, xax = 1, yax = 2, clab.moda = 1, labels = names(x$tab), 
    sub = NULL, csub = 2, ...)

Arguments

x: an object of class fca
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 par("cex")*csub
...: further arguments passed to or from other methods

Author

Daniel Chessel

References

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.

Examples

data(coleo)
coleo.fuzzy <- prep.fuzzy.var(coleo$tab, coleo$col.blocks)
#> 2 missing data found in block 1 
#> 1 missing data found in block 3 
#> 2 missing data found in block 4 
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)
}