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R package for mining text functions
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12345678910111213141516171819202122232425262728293031323334353637383940414243% Generated by roxygen2: do not edit by hand% Please edit documentation in R/topic_prevalence_plots.R\name{plot_topic_prevalence}\alias{plot_topic_prevalence}\title{Plot average topic prevalence}\usage{plot_topic_prevalence( stm_model, topic_labels, out_file = NULL, save = TRUE, width = 25, height = 20)}\arguments{\item{stm_model}{STM model object with \code{theta} matrix.}\item{topic_labels}{Table with columns \code{topic} and \code{label}.}\item{out_file}{Optional output path used when \code{save = TRUE}.}\item{save}{Logical scalar, whether to save the figure.}\item{width, height}{Numeric scalar dimensions in inches for saved file.}}\value{A list with \code{topic_prev} (data.table) and \code{plot} (ggplot object).}\description{Compute average prevalence from \code{theta} and draw a horizontalbar chart. Optionally save the figure.}\details{Plot average topic prevalence from an STM model}\examples{stm_model <- list(theta = matrix(c(0.2, 0.8, 0.4, 0.6), nrow = 2, byrow = TRUE))topic_labels <- data.frame(topic = 1:2, label = c("Labor", "Trade"))plot_topic_prevalence(stm_model, topic_labels, save = FALSE)}