% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/api-hierarchical-audit.R
\name{plot.mfrm_facet_sample_review}
\alias{plot.mfrm_facet_sample_review}
\title{Plot a facet sample-size review}
\usage{
\method{plot}{mfrm_facet_sample_review}(
  x,
  top_n = NULL,
  preset = c("standard", "publication", "compact", "monochrome"),
  ...
)
}
\arguments{
\item{x}{An \code{mfrm_facet_sample_review} object.}

\item{top_n}{Optional integer; trim the y-axis to the \code{top_n}
smallest level counts per facet. \code{NULL} (default) keeps all.}

\item{preset}{One of \code{"standard"}, \code{"publication"}, \code{"compact"}, \code{"monochrome"}.}

\item{...}{Reserved.}
}
\value{
Invisibly, the data.frame used for the plot.
}
\description{
Per-level observation counts rendered as a horizontal bar chart
coloured by the Linacre sample-size band assigned in
\code{\link[=facet_small_sample_review]{facet_small_sample_review()}}. Vertical dashed lines mark the
sparse / marginal / standard thresholds so reviewers see where
every facet level sits relative to the Linacre (1994) guidance.
}
\seealso{
\code{\link[=facet_small_sample_review]{facet_small_sample_review()}}.
}
