ggplot_number_of_clusters_hist: Plot the posterior distribution of the number of clusters.

In tip: Bayesian Clustering Using the Table Invitation Prior (TIP)

Plot the posterior distribution of the number of clusters.

Description

A function that produces a ggplot bar chart (i.e., geom_bar) that corresponds to the posterior number of clusters. The vertical axis is normalized so that it displays the posterior probability.

Usage

ggplot_number_of_clusters_hist(.posterior_number_of_clusters)

Arguments

.posterior_number_of_clusters

Vector of positive integers: each integer corresponds to the number of clusters after posterior sampling for a given sampling iteration in the Gibbs sampler.

Value

ggplot2 geom_bar plot: a plot of the distribution of the posterior number of clusters computed after each sampling iteration in the Gibbs sampler.

Examples

# Import the tip library
library(tip)

# Generate a vector of positive integers
# Example: the posterior number of clusters computed after posterior
# sampling in each sampling iteration of the Gibbs sampler.
num_clusters <- c(1,2,2,2,2,3,3,1,2,3,3,3,1,3)

# Generate the plot of the posterior number of clusters versus the
# sampling iteration number in the Gibbs sampler.
ggplot_number_of_clusters_hist(.posterior_number_of_clusters = num_clusters)

tip documentation built on Nov. 15, 2022, 1:05 a.m.