% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/topic_modeling.R
\name{plot_topic_effects_categorical}
\alias{plot_topic_effects_categorical}
\title{Plot Topic Effects for Categorical Variables}
\usage{
plot_topic_effects_categorical(
  effects_data,
  ncol = 2,
  height = 800,
  width = 1000,
  title = "Category Effects",
  base_font_size = 11
)
}
\arguments{
\item{effects_data}{Data frame with columns: topic, value, proportion, lower, upper}

\item{ncol}{Number of columns for faceting (default: 2)}

\item{height}{Plot height in pixels (default: 800)}

\item{width}{Plot width in pixels (default: 1000)}

\item{title}{Plot title (default: "Category Effects")}

\item{base_font_size}{Base font size in points for the plot theme (default: 11). Axis text and strip text will be base_font_size + 2.}
}
\value{
A plotly object
}
\description{
Creates a faceted plot showing how categorical variables affect topic proportions.
}
\concept{topic-modeling}
