Plot a facet-quality dashboard

Usage

plot_facet_quality_dashboard(
  x,
  diagnostics = NULL,
  facet = NULL,
  bias_results = NULL,
  severity_warn = 1,
  misfit_warn = 1.5,
  central_tendency_max = 0.25,
  bias_count_warn = 1L,
  bias_abs_t_warn = 2,
  bias_abs_size_warn = 0.5,
  bias_p_max = 0.05,
  plot_type = c("severity", "flags"),
  top_n = 20,
  main = NULL,
  palette = NULL,
  label_angle = 45,
  draw = TRUE,
  ...
)

Arguments

x: Output from facet_quality_dashboard() or fit_mfrm().
diagnostics: Optional output from diagnose_mfrm() when x is a fit.
facet: Optional facet name.
bias_results: Optional bias bundle or list of bundles.
severity_warn: Absolute estimate cutoff used to flag severity outliers.
misfit_warn: Mean-square cutoff used to flag misfit.
central_tendency_max: Absolute estimate cutoff used to flag central tendency.
bias_count_warn: Minimum flagged-bias row count required to flag a level.
bias_abs_t_warn: Absolute t cutoff used when deriving bias-row flags from a raw bias bundle.
bias_abs_size_warn: Absolute bias-size cutoff used when deriving bias-row flags from a raw bias bundle.
bias_p_max: Probability cutoff used when deriving bias-row flags from a raw bias bundle.
plot_type: Plot type, "severity" or "flags".
top_n: Number of rows to keep in the plot data.
main: Optional plot title.
palette: Optional named color overrides.
label_angle: Label angle hint for the "flags" plot.
draw: If TRUE, draw with base graphics.
...: Reserved for generic compatibility.

Value

A plotting-data object of class mfrm_plot_data.

Examples

toy <- load_mfrmr_data("example_core")
fit <- fit_mfrm(toy, "Person", c("Rater", "Criterion"), "Score", method = "JML", maxit = 25)
diag <- diagnose_mfrm(fit, residual_pca = "none")
p <- plot_facet_quality_dashboard(fit, diagnostics = diag, draw = FALSE)
class(p)
#> [1] "mfrm_plot_data" "list"

Plot a facet-quality dashboard

Usage

Arguments

Value

See also

Examples