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corregp (version 0.1.2)

plot.corregp: Plotting Correspondence Regression

Description

Basic method to plot the output of a correspondence regression.

Usage

## S3 method for class 'corregp':
plot(x, axes = 1:2, y_btm = TRUE, y_ell = FALSE,
  x_ell = FALSE, ysub = NULL, xsub = NULL, hlim = NULL, vlim = NULL,
  expa_btm = 1, expa_top = 1, asp = 1, asp_btm = asp, asp_top = asp,
  col_btm = "darkgrey", col_top = "red", cex_btm = par("cex"),
  cex_top = cex_btm, font_btm = par("font"), font_top = font_btm,
  col_ell = par("col"), lwd_ell = par("lwd"), lty_ell = par("lty"),
  col_ori = par("col"), lwd_ori = par("lwd"), lty_ori = 1, main = NULL,
  sub = NULL, hlab = NULL, vlab = NULL, cl = 0.95, np = 100,
  add_ori = TRUE, ...)

Arguments

x
The output of a call to corregp (i.e. an object of class "corregp").
axes
The axes to plot: a vector of two values. Defaults to the first two axes.
y_btm
Logical specifying whether the Y levels should be plotted first ("at the bottom") and then be overlaid by the X levels. Defaults to TRUE.
y_ell
Logical specifying whether the confidence ellipses of the Y levels should be plotted. Defaults to FALSE.
x_ell
Logical specifying whether the confidence ellipses of the X levels should be plotted. Defaults to FALSE.
ysub
Vector of indices to select a subset of the Y levels.
xsub
Vector of indices to select a subset of the X levels.
hlim
Vector of two values specifying the lower and upper limit between which to plot the horizontal axis.
vlim
Vector of two values specifying the lower and upper limit between which to plot the vertical axis.
expa_btm
Expansion factor for the bottom coordinates: a number to rescale the axes.
expa_top
Expansion factor for the top coordinates: a number to rescale the axes.
asp
The aspect ratio for the whole plot. See plot.window.
asp_btm
The aspect ratio for the bottom coordinates. See plot.window.
asp_top
The aspect ratio for the top coordinates. See plot.window.
col_btm
Color of the bottom levels: either numeric or see colors. Defaults to "darkgrey".
col_top
Color of the top levels: either numeric or see colors. Defaults to "red".
cex_btm
Character expansion factor of the bottom levels: a number to specify the size of the text labels.
cex_top
Character expansion factor of the top levels: a number to specify the size of the text labels.
font_btm
Font of the bottom levels: 1 for plain, 2 for bold, 3 for italic, and 4 for bold italic. Defaults to 1.
font_top
Font of the top levels: 1 for plain, 2 for bold, 3 for italic, and 4 for bold italic. Defaults to 1.
col_ell
Color of the confidence ellipses: either a number or see colors.
lwd_ell
Width of the confidence ellipses: a number to specify the line width.
lty_ell
Line type of the confidence ellipses: 0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted", 4 or "dotdash", 5
col_ori
Color of the lines through the origin: either numeric or see colors.
lwd_ori
Width of the lines through the origin: a number to specify the line width.
lty_ori
Line type of the lines through the origin: 0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted", 4 or "dotdash", 5
main
The main title of the plot.
sub
The subtitle of the plot.
hlab
The title of the horizontal axis.
vlab
The title of the vertical axis.
cl
The confidence level for the confidence ellipses. Defaults to 0.95.
np
The number of points to represent the confidence ellipses. Defaults to 100.
add_ori
Logical specifying whether to add lines through the origin. Defaults to TRUE.
...
Further arguments passed to or from other methods.

Value

  • A plot window containing the output of a correspondence regression.

Details

The plot of a correspondence regression is by definition a biplot.

References

Gower, J., S. Lubbe and N. Le Roux (2011) Understanding biplots. Chichester: Wiley. Greenacre, M. (2010) Biplots in practice. Bilbao: Fundacion BBVA.

See Also

corregp, summary.corregp, screeplot.corregp, biplot.

Examples

Run this code
data(HairEye)
haireye.crg <- corregp(Eye ~ Hair * Sex, data = HairEye, b = 3000)
plot(haireye.crg, x_ell = TRUE, xsub = c("Hair", "Sex"))

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