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

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

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))
}

ade4 documentation built on May 2, 2019, 5:50 p.m.