helio.plot: Helio Plots

In yacca: Yet Another Canonical Correlation Analysis Package

Helio Plots

Description

Displays data using a circular layout; function is designed to be used with cca objects, but could perhaps be rigged for use in other circumstances.

Usage

helio.plot(c, cv = 1, xvlab = c$xlab, yvlab = c$ylab, 
    x.name = "X Variables", y.name = "Y Variables", lab.cex = 1,
    wid.fact = 0.75, main = "Helio Plot", 
    sub = paste("Canonical Variate", cv, sep = ""), zero.rad = 30, 
    range.rad = 20, name.padding = 5, name.cex = 1.5, 
    axis.circ = c(-1, 1), x.group = rep(0, dim(c$xstructcorr)[1]),
    y.group = rep(0, dim(c$ystructcorr)[1]), type = "correlation")

Arguments

c	object to be plotted (generally output from cca.
cv	the canonical variate to display.
xvlab	X variable labels.
yvlab	Y variable labels.
x.name	name for the X variable set.
y.name	name for the Y variable set.
lab.cex	character expansion for plot labels.
wid.fact	width multiplier for data bars.
main	plot main title.
sub	plot subtitle.
zero.rad	radius for the zero-value reference circle.
range.rad	difference between inner and outer plotting radius.
name.padding	offset for variable names.
name.cex	character expansion for variable names.
axis.circ	location to draw axis circles.
x.group	optional grouping vector for X variables.
y.group	optional grouping vector for Y variables.
type	one of “correlation” or “variance”, depending on the type of data to be displayed.

Details

Helio plots display data in radial bars, with larger values pointing outward from a base reference circle and smaller (more negative) values pointing inward). Such plots are well-suited to the display of multivariate information with several groups of variables, as with canonical correlation analysis.

Value

None.

Author(s)

Carter T. Butts <[e-mail]>

See Also

cca

Examples

data(LifeCycleSavings)
pop <- LifeCycleSavings[, 2:3]
oec <- LifeCycleSavings[, -(2:3)]
cca.fit <- cca(pop, oec)

#Show loadings on first canonical variate
helio.plot(cca.fit, x.name="Population Variables", 
    y.name="Economic Variables")

#Show variances on second canonical variate
helio.plot(cca.fit, cv=2, x.name="Population Variables", 
    y.name="Economic Variables", type="variance")

yacca documentation built on March 18, 2022, 7:27 p.m.