Plot the frequency of values in one column

Usage

plot_counts_one(
  data,
  col,
  category = NULL,
  ci = FALSE,
  limits = NULL,
  numbers = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data: A tibble.
col: The column holding values to count.
category: The value FALSE will force to plot all categories. A character value will focus a selected category. When NULL, in case of boolean values, only the TRUE category is plotted.
ci: Whether to plot error bars for 95% confidence intervals.
limits: The scale limits, autoscaled by default. Set to c(0,100) to make a 100% plot. If the data is binary or focused on a single category, by default a 100% plot is created.
numbers: The values to print on the bars: "n" (frequency), "p" (percentage) or both.
title: If TRUE (default) shows a plot title derived from the column labels. Disable the title with FALSE or provide a custom title as character value.
labels: If TRUE (default) extracts labels from the attributes, see codebook.
clean: Prepare data by data_clean.
...: Placeholder to allow calling the method with unused parameters from plot_counts.

Value

A ggplot object.

Examples

library(volker)
data <- volker::chatgpt

plot_counts_one(data, sd_gender)