R: Plot of the factorial maps for a correspondence analysis

scatter.coa {ade4}

R 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 = F)
  g2 <- scatter(w, method = 2, psub.text = "2 / Columns -> averaging -> Rows", 
    posieig = "none", plot = F)
  g3 <- scatter(w, method = 3, psub.text = "3 / Rows -> averaging -> Columns ", 
    posieig = "none", plot = F)
  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))
}

[Package ade4 version 1.7-4 Index]