plot_condensation: Plot dataframe condensation potential

In erblast/easyalluvial: Generate Alluvial Plots with a Single Line of Code

Plot dataframe condensation potential

Description

plotting the condensation potential is meant as a decision aid for which variables to include in an alluvial plot. All variables are transformed to categoric variables and then two variables are selected by which the dataframe will be grouped and summarized by. The pair that results in the greatest condensation of the original dataframe is selected. Then the next variable which offers the greatest condensation potential is chosen until all variables have been added. The condensation in percent is then plotted for each step along with the number of groups (flows) in the dataframe. By experience it is not advisable to have more than 1500 flows because then the alluvial plot will take a long time to render. If there is a particular variable of interest in the dataframe this variable can be chosen as a starting variable.

Usage

plot_condensation(df, first = NULL)

Arguments

df	dataframe
first	unquoted expression or string denoting the first variable to be picked for condensation, Default: NULL

Value

ggplot2 plot

See Also

quosure reexports RColorBrewer

Examples

 plot_condensation(mtcars2)

 plot_condensation(mtcars2, first = 'disp')

erblast/easyalluvial documentation built on Dec. 11, 2023, 7:28 p.m.