density_plot function

density_plot

Create 2d dimensionality reduction of sample fit to Bayesian network clusters

density_plot(cluster_results, var_selection = NULL, colourys = NULL)

Arguments

• cluster_results: Cluster results from function get_clusters
• var_selection: Selected variables to consider, e.g. c(1:5) for first five only
• colourys: A vector specifying the colors of each cluster (optional)

Returns

A density plot of class recordedplot.

Examples

# Simulate data
sampled_data <- sampleData(n_vars = 15, n_samples = c(200,200,200))$sampled_data
# Learn clusters
cluster_results <- get_clusters(sampled_data)
# Load additional pacakges to create a 2d dimensionality reduction
library(car)
library(ks)
library(ggplot2)
library(graphics)
library(stats)
# Plot a 2d dimensionality reduction
density_plot(cluster_results)