margin_categorical: Marginal quantile functions for r_mvdist()

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

Marginal quantile functions for r_mvdist()

Description

margin_categorical() builds a quantile function for a categorical variable; margin_empirical() builds the (interpolated) empirical quantile function of observed data, preserving its class.

Usage

margin_categorical(levels, probs = NULL, ordered = FALSE)

margin_empirical(x, interpolation = c("linear", "spline"))

Arguments

levels	Category labels.
probs	Category probabilities (normalised internally).
ordered	Return an ordered factor?
x	Observed data (numeric, integer, Date, POSIXct, factor, character, logical).
interpolation	"linear" or "spline".

Value

A function of p returning values.

Examples

q <- margin_categorical(c("low", "mid", "high"), c(0.2, 0.5, 0.3), ordered = TRUE)
table(q(runif(1000)))
qe <- margin_empirical(faithful$eruptions)
summary(qe(runif(1000)))

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