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Visual diagnostics complement the numerical screening output. The default evidence map integrates multiple diagnostic signals without converting them into a pass/fail scale. Additional plot types display item-rest relationships, inter-item correlations, response-category use, or missingness.

Usage

# S3 method for class 'nomo_screen'
plot(
  x,
  y = NULL,
  type = c("evidence", "item_rest", "interitem", "responses", "missingness"),
  items = NULL,
  show_values = TRUE,
  ...
)

Arguments

x

A nomo_screen object.

y

Ignored; included for compatibility with the base plot() generic.

type

Plot type: "evidence", "item_rest", "interitem", "responses", or "missingness". "responses" draws a bar for each response category of a categorical item, and a histogram of observed values for a continuous item (item_type "numeric_continuous"). When the selected items mix the two, the categorical items are drawn and the caption names the continuous ones, which can be plotted by passing them as items.

items

Optional character vector of candidate items to display.

show_values

Logical; add numerical labels where useful.

...

Additional arguments, currently ignored.

Value

A ggplot2 plot object.