scatter.fca {ade4}R Documentation

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)
scatter(fca1, labels = coleo$moda.names, clab.moda = 1.5,
    sub = names(coleo$col.blocks), csub = 3)

Worked out examples


> library(ade4)
> ### Name: scatter.fca
> ### Title: Plot of the factorial maps for a fuzzy correspondence analysis
> ### Aliases: scatter.fca
> ### Keywords: multivariate hplot
> 
> ### ** 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)
> scatter(fca1, labels = coleo$moda.names, clab.moda = 1.5,
+     sub = names(coleo$col.blocks), csub = 3)
> 
> 
> 
> 

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