plot_marginals: Plot marginal distributions of real and synthetic data

In SynthesizerPlus: Synthetic Data Generation with Copulas, Evaluation and Multi-Format I/O

Plot marginal distributions of real and synthetic data

Description

plot_marginals() overlays the distributions of numeric variables (density, histogram or empirical CDF) and shows side-by-side category proportions for categorical variables. When the selected variables contain both kinds, a list of two plots (class sp_plot_list) is returned; printing it draws both.

Usage

plot_marginals(
  real,
  synthetic = NULL,
  vars = NULL,
  kind = c("density", "histogram", "ecdf"),
  max_vars = 12L,
  max_levels = 15L,
  bins = 30L
)

plot_categorical(real, synthetic = NULL, vars = NULL, max_levels = 15L)

Arguments

real	A data frame (or vector/matrix) with the real data.
synthetic	Optional synthetic data with the same columns.
vars	Variables to plot (default: all, up to max_vars per kind).
kind	For numeric variables: "density", "histogram" or "ecdf".
max_vars	Maximum number of variables of each kind shown by default.
max_levels	Maximum categories per categorical variable (the rest are pooled into "(other)").
bins	Number of histogram bins.

Value

A ggplot object or an sp_plot_list.

Examples

syn <- synthesize(iris, seed = 1)
plot_marginals(iris, syn)
plot_marginals(iris, syn, vars = "Sepal.Length", kind = "ecdf")

SynthesizerPlus documentation built on Oct. 16, 2026, 5:10 p.m.