Plot DER Diagnostic Results — plot.svyder • svyder

Creates diagnostic visualizations for Design Effect Ratio results. Three plot types are available:

profile: DER values by parameter with tier-based coloring and threshold line. Default plot type.
decomposition: Scatter of DER against decomposition components (shrinkage factor B, design effect DEFF).
comparison: Side-by-side naive vs corrected credible intervals. Requires der_correct() to have been applied.

Usage

# S3 method for class 'svyder'
plot(x, type = c("profile", "decomposition", "comparison"), ...)

Arguments

x: A svyder object.
type: Character; plot type: "profile" (default), "decomposition", or "comparison".
...: Additional arguments passed to the underlying plot function.

Value

If ggplot2 is available, a ggplot object (invisibly). Otherwise, x is returned invisibly.

Details

If ggplot2 is installed, returns a ggplot object. Otherwise, falls back to base R graphics.

See also

autoplot.svyder() for explicit ggplot2 usage.

Other visualization: autoplot.svyder()

Examples

data(nsece_demo)
result <- der_diagnose(
  nsece_demo$draws,
  y = nsece_demo$y, X = nsece_demo$X,
  group = nsece_demo$group, weights = nsece_demo$weights,
  psu = nsece_demo$psu, family = "binomial",
  sigma_theta = nsece_demo$sigma_theta,
  param_types = nsece_demo$param_types
)
if (requireNamespace("ggplot2", quietly = TRUE)) {
  plot(result, type = "profile")
}