Skip to contents

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)