clap (version 0.1.0)

extract_ids_vector: Extract and convert IDs to numeric vector

Description

This function extracts IDs from a data frame containing filtered composition data and converts them into a numeric vector.

Usage

extract_ids_vector(composition)

Value

A numeric vector of IDs.

Arguments

composition

An object of class 'clap' returned by `compute_cluster_composition` function, containing cluster composition data including IDs.

Examples

if (requireNamespace("ggplot2", quietly = TRUE)) {
  # Generate dummy data
  class1 <- matrix(rnorm(100, mean = 0, sd = 1), ncol = 2) +
    matrix(rep(c(1, 1), each = 50), ncol = 2)
  class2 <- matrix(rnorm(100, mean = 0, sd = 1), ncol = 2) +
    matrix(rep(c(-1, -1), each = 50), ncol = 2)
  datanew <- rbind(class1, class2)
  training <- data.frame(datanew, class = factor(c(rep(1, 50), rep(2, 50))))

  # Plot the dummy data to visualize overlaps
  p <- ggplot2::ggplot(training, ggplot2::aes(x = X1, y = X2, color = class)) +
    ggplot2::geom_point() +
    ggplot2::labs(title = "Dummy Data with Overlapping Classes")
  print(p)

  # Perform clustering
  cluster_result <- perform_clustering(training, class_column = class)
  # Compute cluster composition
  composition <- compute_cluster_composition(cluster_result)
  # Extract IDs to numeric vector
  ids_vector <- extract_ids_vector(composition)
  # Subset data based on extracted IDs
  overlapdata <- training[ids_vector, ]
  # Plot overlapping data points
  p2 <- p + ggplot2::geom_point(data = overlapdata, ggplot2::aes(X1, X2), colour = "black")
  print(p2)
}