closure_plot_bar: Visualize CLOSURE data in a histogram

In unsum: Reconstruct Raw Data from Summary Statistics

Visualize CLOSURE data in a histogram

Description

Call closure_plot_bar() to get a barplot of CLOSURE results.

For each scale value, the bars show how often this value appears in the full list of possible raw data samples found by the CLOSURE algorithm.

Usage

closure_plot_bar(
  data,
  frequency = c("absolute-percent", "absolute", "relative", "percent"),
  samples = c("mean", "all"),
  bar_alpha = 0.75,
  bar_color = "#5D3FD3",
  show_text = TRUE,
  text_color = bar_color,
  text_size = 12,
  text_offset = 0.05,
  mark_thousand = ",",
  mark_decimal = "."
)

Arguments

data	List returned by closure_generate().
frequency	String (length 1). What should the bars display? The default, "absolute-percent", displays the count of each scale value and its percentage of all values. Other options are "absolute", "relative", and "percent".
samples	String (length 1). How to aggregate the samples? Either take the average sample ("mean", the default) or the sum of all samples ("all"). This only matters if absolute frequencies are shown.
bar_alpha	Numeric (length 1). Opacity of the bars. Default is 0.75.
bar_color	String (length 1). Color of the bars. Default is "#5D3FD3", a purple color.
show_text	Logical (length 1). Should the bars be labeled with the corresponding frequencies? Default is TRUE.
text_color	String (length 1). Color of the frequency labels. By default, the same as bar_color.
text_size	Numeric. Base font size in pt. Default is 12.
text_offset	Numeric (length 1). Distance between the text labels and the bars. Default is 0.05.
mark_thousand, mark_decimal	Strings (length 1 each). Delimiters between groups of digits in text labels. Defaults are "," for mark_thousand (e.g., "20,000") and "." for mark_decimal (e.g., "0.15").

Value

A ggplot object.

See Also

closure_plot_ecdf(), an alternative visualization.

Examples

# Create CLOSURE data first:
data <- closure_generate(
  mean = "3.5",
  sd = "2",
  n = 52,
  scale_min = 1,
  scale_max = 5
)

# Visualize:
closure_plot_bar(data)

unsum documentation built on June 20, 2025, 1:08 a.m.