plotxc.pcp: Condition selector plot

In condvis: Conditional Visualization for Statistical Models

Description

Multivariate data visualisations used to select sections for ceplot. Basically visualises a dataset and highlights a single point.

Usage

plotxc.pcp(Xc, Xc.cond, select.colour = NULL, select.lwd = 3,
  cex.axis = NULL, cex.lab = NULL, tck = NULL, select.cex = 1, ...)

plotxc.full(Xc, Xc.cond, select.colour = NULL, select.lwd = 3,
  cex.axis = NULL, cex.lab = NULL, tck = NULL, select.cex = 0.6, ...)

Arguments

Xc	A dataframe.
Xc.cond	A dataframe with one row and same names as Xc.
select.colour	Colour to highlight Xc.cond
select.lwd	Line weight to highlight Xc.cond
cex.axis	Axis text scaling
cex.lab	Label text scaling
tck	Plot axis tick size
select.cex	Plot symbol size
...	not used.

Value

Produces a plot, and returns a list containing the relevant information to update the plot at a later stage.

See Also

ceplot, plotxs, plotxc

condvis documentation built on May 2, 2019, 5:57 a.m.