Plot frequencies cross tabulated with a metric column that will be split into groups

Usage

plot_counts_one_cor(
  data,
  col,
  cross,
  category = NULL,
  prop = "total",
  limits = NULL,
  ordered = NULL,
  numbers = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data: A tibble.
col: The column holding factor values.
cross: A metric column that will be split into groups at the median.
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.
prop: The basis of percent calculation: "total" (the default), "rows" or "cols". Plotting row or column percentages results in stacked bars that add up to 100%. Whether you set rows or cols determines which variable is in the legend (fill color) and which on the vertical scale.
limits: The scale limits, autoscaled by default. Set to c(0,100) to make a 100 % plot.
ordered: The values of the cross column can be nominal (0), ordered ascending (1), or descending (-1). By default (NULL), the ordering is automatically detected. An appropriate color scale should be chosen depending on the ordering. For unordered values, colors from VLKR_FILLDISCRETE are used. For ordered values, shades of the VLKR_FILLGRADIENT option are used.
numbers: The numbers 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_cor(data, adopter, sd_age)