Plot of the factorial maps for a correspondence analysis
scatter.coa.Rd
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; if "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
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))
}
#> Error in s.label(dfxy = w$li, xax = 1, yax = 2, plot = FALSE, storeData = TRUE, pos = -3, plabels = list(cex = 0.75), xlim = c(-1.78084019584536, 1.2438983366721), ylim = c(-1.22699830497162, 1.79774022754584 ), sub = "1 / Standard"): non convenient selection for dfxy (can not be converted to dataframe)