Plot a circumplex-structure configuration

Draw the two-factor loading configuration of a fit_structure() object on the circular canvas from ggcircumplex(). Each scale is placed at its estimated angle (atan2 of its two principal-axis loadings) and at a radius given by its communality (the share of its variance on the first two factors), so a clean circumplex shows the scales spread evenly around a ring of similar radius, unequal axes show scales at differing radii (what the Fisher Test measures), and simple structure shows scales bunched near a few angles (what the Gap and interstitiality tests measure). The canvas spokes mark the same estimated angles, labelled by scale.

Usage

# S3 method for class 'circumplex_structure'
plot(x, amax = 1, legend = TRUE, ...)

Arguments

x

A circumplex_structure object from fit_structure().

amax

A single positive number giving the communality represented by the canvas's outer ring (default = 1). Principal-axis communalities can exceed 1 in a Heywood case; when any scale's communality exceeds amax the ring is expanded to contain it, so no point is ever drawn outside the canvas.

legend

A logical: draw a legend keying the colours to the scale names (default = TRUE).

...

Not used. Supplying an unrecognized argument produces a warning.

Value

A ggplot2 object.

See also

fit_structure(), ggcircumplex()

Examples

data("jz2017")
scales <- c("PA", "BC", "DE", "FG", "HI", "JK", "LM", "NO")
plot(fit_structure(jz2017, scales = scales))