Plot categorical composition by cluster

Plot categorical composition by cluster

Usage

PlotClusterComposition(
  data,
  variables,
  cluster,
  facet_by = c("variable", "cluster"),
  style = c("stacked", "enrichment")
)

Arguments

data

Data frame containing the categorical variables.

variables

Categorical variable names.

cluster

Cluster assignment vector aligned to data.

facet_by

Whether stacked-bar facets represent categorical variables (the default) or clusters.

style

Either "stacked" for composition bars or "enrichment" for a cluster-first heatmap of percentage-point differences from the cohort.

Value

A ggplot object, or NULL when no categorical variables are given.

Examples

# \donttest{
data(SimulatedPhenotypeData)
df_Training <- dplyr::filter(SimulatedPhenotypeData, .data$Cohort == "Training")
model <- CreateClusterModel_Gower_PAM(
  df_Training, c("Var1", "Var2", "CatVar1", "CatVar2"),
  method = "finalize", final_k = 4
)
model$ModelInfo$plots$categorical_composition

# }