scatter.coa: Plot of the factorial maps for a correspondence analysis

scatter.coaR Documentation

Plot of the factorial maps for a correspondence analysis

Description

performs the scatter diagrams of a correspondence analysis.

Usage

## S3 method for class 'coa'
scatter(x, xax = 1, yax = 2, method = 1:3, clab.row = 0.75, 
    clab.col = 1.25, posieig = "top", sub = NULL, csub = 2, ...)

Arguments

x

an object of class coa

xax

the column number for the x-axis

yax

the column number for the y-axis

method

an integer between 1 and 3
1 Rows and columns with the coordinates of lambda variance
2 Columns variance 1 and rows by averaging
3 Rows variance 1 and columns by averaging

clab.row

a character size for the rows

clab.col

a character size for the columns

posieig

if "top" the eigenvalues bar plot is upside,vif "bottom" it is downside, if "none" no plot

sub

a string of characters to be inserted as legend

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

Oksanen, J. (1987) Problems of joint display of species and site scores in correspondence analysis. Vegetatio, 72, 51–57.

Examples

data(housetasks)
w <- dudi.coa(housetasks, scan = FALSE)
if(adegraphicsLoaded()) {
  g1 <- scatter(w, method = 1, psub.text = "1 / Standard", posieig = "none", plot = FALSE)
  g2 <- scatter(w, method = 2, psub.text = "2 / Columns -> averaging -> Rows", 
    posieig = "none", plot = FALSE)
  g3 <- scatter(w, method = 3, psub.text = "3 / Rows -> averaging -> Columns ", 
    posieig = "none", plot = FALSE)
  G <- ADEgS(list(g1, g2, g3), layout = c(2, 2))
  
} else {
  par(mfrow = c(2, 2))
  scatter(w, method = 1, sub = "1 / Standard", posieig = "none")
  scatter(w, method = 2, sub = "2 / Columns -> averaging -> Rows", posieig = "none")
  scatter(w, method = 3, sub = "3 / Rows -> averaging -> Columns ", posieig = "none")
  par(mfrow = c(1, 1))
}

ade4 documentation built on Nov. 2, 2022, 1:07 a.m.

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