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Plot residual principal-component loadings

Source: R/plots.R
plot_pca.Rd

Residual-component loadings against item location; opposing clusters at top and bottom suggest a further dimension. Any leading component may be shown, not only the first.

Usage

plot_pca(fit, component = 1)

Arguments

fit

A fitted object from rasch.

component

Which residual principal component to plot (default the first component).

Value

Called for its plotting side effect; invisibly NULL.

Examples

set.seed(1)
d <- seq(-2, 2, length.out = 6)
X <- matrix(rbinom(400 * 6, 1, plogis(outer(rnorm(400), d, "-"))), 400, 6)
colnames(X) <- paste0("I", 1:6)
plot_pca(rasch(X))