corregp (version 2.0.2)

pcplot.corregp: Parallel Coordinate Plotting for Correspondence Regression

Description

Method to produce a parallel coordinate plot of the output of a correspondence regression.

Usage

# S3 method for corregp
pcplot(x, parm = "x", axes, add_ci = FALSE, cl = 0.95,
  nq = TRUE, col = "darkgrey", cex = par("cex"), font = par("font"),
  family = par("family"), lwd = par("lwd"), lty = par("lty"),
  lcol = col, psym = NULL, pcol = col, pcex = cex, ecol = "red",
  ewid = 1, etyp = 2, acol = "black", awid = 1, atyp = 1,
  acex = cex, afnt = font, adir = 1, add_scale = FALSE, main = NULL,
  sub = NULL, ...)
pcplot(x, ...)

Arguments

x

The output of a call to corregp (i.e. an object of class "corregp").

parm

The parameter for which to plot the coordinates. Can be either "y", "x", or any vector of term names in X, level names in X or level names in Y. Defaults to "x".

axes

The axes to plot.

add_ci

Logical specifying whether to include the confidence intervals. Defaults to FALSE.

cl

The confidence level for the confidence intervals. Defaults to 0.95.

nq

Logical specifying whether to use a normal quantile (i.e. apply qnorm) in the computation of the confidence intervals. Defaults to TRUE. If FALSE, then the confidence intervals are computed directly with the quantile function.

col

Color of the text labels: either numeric or see colors.

cex

Character expansion factor: a number to specify the size of the text labels.

font

Font of the text labels: 1 for plain, 2 for bold, 3 for italic, and 4 for bold italic. Defaults to 1.

family

Font family of the text labels: can be "serif", "sans", "mono" or one of the Hershey fonts.

lwd

Width of the connecting lines: a number to specify the line width.

lty

Line type of the connecting lines: 0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted", 4 or "dotdash", 5 or "longdash", 6 or "twodash". Defaults to 1.

lcol

Color of the connecting lines: either numeric or see colors.

psym

The symbol (or "plotting character") for the values of the coordinates on the axes.

pcol

Color of the symbol for the values on the axes: either numeric or see colors.

pcex

Character expansion factor of the symbol for the values on the axes.

ecol

Color of the error lines (connecting the confidence intervals on each axis): either numeric or see colors.

ewid

Width of the error lines (connecting the confidence intervals on each axis): a number to specify the line width.

etyp

Line type of the error lines (connecting the confidence intervals on each axis): 0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted", 4 or "dotdash", 5 or "longdash", 6 or "twodash". Defaults to 2.

acol

Color of the parallel axes: either numeric or see colors.

awid

Width of the parallel axes: a number to specify the line width.

atyp

Line type of the parallel axes: 0 or "blank", 1 or "solid", 2 or "dashed", 3 or "dotted", 4 or "dotdash", 5 or "longdash", 6 or "twodash". Defaults to 1.

acex

Character expansion factor for the labels of the parallel axes.

afnt

Font for the labels of the parallel axes: 1 for plain, 2 for bold, 3 for italic, and 4 for bold italic.

adir

Reading direction of the labels on the parallel axes: either a numeric value between 0 and 3 (see the las argument in the graphical parameters par) or a character value matching either "horizontal" or "vertical". Defaults to 1 (horizontal).

add_scale

Logical specifying whether to add a scale for the parallel axes (which are normalised).

main

The main title of the plot.

sub

The subtitle of the plot.

...

Further arguments passed to or from other methods.

Value

A parallel coordinate plot containing the output of a correspondence regression.

Details

Although adding lines for confidence intervals is possible, it is not recommended, as it typically leads to an unreadable plot.

See Also

ciplot.corregp, plot.corregp, plot3d.corregp, agplot.corregp.

Examples

# NOT RUN {
data(HairEye)
haireye.crg <- corregp(Eye ~ Hair * Sex, data = HairEye, b = 3000)
pcplot(haireye.crg, parm = "y", axes = 1:3)
pcplot(haireye.crg, parm = c("Hair", "Sex"), axes = 1:3)
# }