# scatter.coa: Plot of the factorial maps for a correspondence analysis In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

 scatter.coa 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

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)
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.