scatter.fca: Plot of the factorial maps for a fuzzy correspondence...

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

Plot of the factorial maps for a fuzzy correspondence analysis

Description

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(s)

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)
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)
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.