Compare bootstrap and ordinary random-rater intervals

Compare bootstrap and ordinary random-rater intervals

Usage

# S3 method for class 'mfrm_random_rater_intervals'
plot(
  x,
  level = x$settings$level,
  method = c("studentized", "error"),
  comparison = TRUE,
  draw = TRUE,
  sort = c("input", "estimate", "uncertainty"),
  palette = c("accessible", "mono"),
  title = NULL,
  caption = NULL,
  show_title = TRUE,
  show_notes = TRUE,
  show_labels = TRUE,
  reference = 0,
  text_scale = 1,
  point_size = 2.5,
  ...
)

Arguments

x

A result from mfrm_random_rater_intervals().

level

Nominal pointwise coverage; defaults to the saved level.

method

"studentized" or "error"; see mfrm_random_rater_intervals().

comparison

Show ordinary normal intervals from the same source fit.

draw

FALSE returns plotted data without opening a device.

sort

Row order for interval plots: input order, increasing estimate, or increasing interval width. Missing values come last; ties retain input order. Sorting is descriptive, not a test of differences.

palette

"accessible" uses blue and dark orange with filled/open symbols; "mono" uses dark grey with the same symbol distinctions.

title, caption

NULL uses the default text; a string replaces it; "" removes it. Interpretation notes remain in the saved plot data.

show_title, show_notes

Show the title and caption, respectively. FALSE hides text without deleting its metadata.

show_labels

Show IDs on interval and precision plots. Distribution plots summarize estimates and do not label individual IDs. For crowded precision plots use FALSE and consult the retained table.

reference

Vertical reference line in logits; NULL omits it. This is an orientation aid, not a quality threshold.

text_scale

Positive multiplier for text size.

point_size

Positive point size in ggplot millimetres; base graphics use the corresponding relative size (2.5 is the default).

...

Unused.

Value

Invisibly, an mfrm_plot_data object with exact bounds, availability, settings and the source estimates. Use plot_data() for custom graphics.

Details

Arrows identify unbounded bootstrap endpoints. Their displayed ends are plot limits, not finite interval limits. Ordinary intervals never replace an unbounded bootstrap interval. These are pointwise prediction intervals for realized rater effects, not a rater-quality classification.

See also

plot.mfrm_testlet_scores() for display controls and accessible output. Bootstrap comparisons retain the interval view.