Plot Latent Class Distribution (LCD) from exametrika

This function takes exametrika output as input and generates a Latent Class Distribution (LCD) plot using ggplot2. LCD shows the number of students in each latent class and the class membership distribution.

Usage

plotLCD_gg(
  data,
  Num_Students = TRUE,
  title = TRUE,
  colors = NULL,
  linetype = "dashed",
  show_legend = FALSE,
  legend_position = "right"
)

Arguments

data: An object of class c("exametrika", "LCA") or c("exametrika", "BINET"). If LRA or Biclustering output is provided, LRD will be plotted instead with a warning.
Num_Students: Logical. If TRUE (default), display the number of students on each bar.
title: Logical or character. If TRUE (default), display the auto-generated title. If FALSE, no title. If a character string, use it as a custom title.
colors: Character vector of length 2. First element is the bar fill color, second is the line/point color. If NULL (default), uses gray for bars and black for line/points.
linetype: Character or numeric specifying the line type for the frequency line. Default is "dashed".
show_legend: Logical. If TRUE, display the legend. Default is FALSE.
legend_position: Character. Position of the legend. One of "right" (default), "top", "bottom", "left", "none".

Value

A single ggplot object with dual y-axes showing both the student count and membership frequency.

Details

The Latent Class Distribution shows how students are distributed across latent classes. The bar graph shows the number of students assigned to each class, and the line graph shows the cumulative class membership distribution.

Examples

library(exametrika)
result <- LCA(J15S500, ncls = 5)
plot <- plotLCD_gg(result)
plot