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Heat plot of posterior probabilities

Source: R/heat_plot.R
heat_plot.Rd

Generates a heat plot with items in their consensus ordering along the horizontal axis and ranking along the vertical axis. The color denotes posterior probability.

Usage

heat_plot(model_fit, ...)

Arguments

model_fit

An object of type BayesMallows, returned from compute_mallows().

...

Additional arguments passed on to other methods. In particular, type = "CP" or type = "MAP" can be passed on to compute_consensus() to determine the order of items along the horizontal axis.

Value

A ggplot object.

Details

In models with a single cluster, the items are sorted along the x-axis according to the consensus ranking. In models with more than one cluster, the items are sorted alphabetically.

See also

Other posterior quantities: assign_cluster(), compute_consensus(), compute_posterior_intervals(), get_acceptance_ratios(), plot.BayesMallows(), plot.SMCMallows(), plot_elbow(), plot_top_k(), predict_top_k(), print.BayesMallows()

Examples

set.seed(1)
model_fit <- compute_mallows(
  setup_rank_data(potato_visual),
  compute_options = set_compute_options(nmc = 2000, burnin = 500))

heat_plot(model_fit)

heat_plot(model_fit, type = "MAP")


## Model with three clusters
mod <- compute_mallows(
  data = setup_rank_data(rankings = cluster_data),
  model_options = set_model_options(n_clusters = 3),
  compute_options = set_compute_options(nmc = 10000, burnin = 1000)
)

heat_plot(mod)

heat_plot(mod, type = "MAP")