Average topic prevalence of an STM model — plot_topic

Mean of each topic's proportion over documents ($\bar\theta_k = \frac{1}{D}\sum_d \theta_{dk}$), drawn as a horizontal bar chart sorted by prevalence.

Usage

plot_topic_prevalence(
  model,
  topic_labels = NULL,
  base_size = 16,
  fill = scico::scico(1, palette = "batlow", begin = 0.25),
  ...
)

Arguments

model: A fitted stm model (only theta is used), or its document-topic matrix.
topic_labels: Optional table with topic and label (e.g. from topic_labels() or topic_summary()). NULL labels topics by their number.
base_size: Numeric scalar, base font size of the theme.
fill: Bar colour.
...: Not used: an argument renamed in the development version of mintR gives an error naming its replacement.

Value

A ggplot. Its data (plot$data) is a data.table with topic, prevalence and label. Save it with ggplot2::ggsave().

Examples

model <- list(theta = matrix(c(0.2, 0.8, 0.4, 0.6), nrow = 2, byrow = TRUE))
labels <- data.frame(topic = 1:2, label = c("Labour", "Trade"))
plot_topic_prevalence(model, labels)