plot_counts {volker}R Documentation

Output a frequency plot

Description

The type of frequency plot depends on the number of selected columns:

Cross tabulations:

By default, if you provide two column selections, the second selection is treated as categorical. Setting the metric-parameter to TRUE will call the appropriate functions for correlation analysis:

Parameters that may be passed to the count functions (see the respective function help):

[Experimental]

Usage

plot_counts(data, cols, cross = NULL, metric = FALSE, clean = TRUE, ...)

Arguments

data

A data frame.

cols

A tidy column selection, e.g. a single column (without quotes) or multiple columns selected by methods such as starts_with().

cross

Optional, a grouping column. The column name without quotes.

metric

When crossing variables, the cross column parameter can contain categorical or metric values. By default, the cross column selection is treated as categorical data. Set metric to TRUE, to treat it as metric and calculate correlations.

clean

Prepare data by data_clean.

...

Other parameters passed to the appropriate plot function.

Value

A ggplot2 plot object.

Examples

library(volker)
data <- volker::chatgpt

plot_counts(data, sd_gender)


[Package volker version 3.0.0 Index]