This function takes a numeric vector of sampled Quality of Life (QoL) scores and creates an elegant bar plot that functions as a histogram. It visualizes the distribution of outcomes, showing the probability of each category on the y-axis and using descriptive labels on the x-axis.
Arguments
- qol_scores_vector
A numeric vector of sampled QoL scores, where each element is one of `[-2, -1, 0, 1, 2]`. This is typically the output from `sample_qol_scores()`.
Value
A `ggplot` object representing the customized histogram. This object can be printed to display the plot or be further modified.
Details
The function first calculates the proportion (probability) of each unique score `[-2, -1, 0, 1, 2]`. It then maps these numeric scores to meaningful labels (e.g., "Significant Deterioration") and uses a diverging color palette to intuitively represent negative, neutral, and positive outcomes. The bars are directly labeled with their corresponding probabilities.
Examples
# --- 1. First, generate a vector of sampled scores ---
# prob_vector <- c(0.05, 0.20, 0.50, 0.20, 0.05)
# scores <- sample_qol_scores(prob_vector, n_samples = 2000)
# --- 2. Now, plot the results with the new function ---
# final_plot <- plot_qol_histogram(scores)
# --- 3. Display the plot ---
# print(final_plot)