plot_transition_time_histogram: Shows the distribution of transition times (durations) in a...

In genpack/promer: This package will be a complete toolbox for process mining, management, prediction, simulation and optimization

Shows the distribution of transition times (durations) in a histogram plot.

Description

Shows the distribution of transition times (durations) in a histogram plot.

Usage

plot_transition_time_histogram(
  obj,
  source = NULL,
  target = NULL,
  remove_outliers = F,
  time_unit = c("second", "minute", "hour", "day", "week", "year"),
  plotter = c("plotly", "ggplot2"),
  ...
)

Arguments

obj	object of class TransitionSystem: The Transition System object from which transition durations are extracted
source	character: Transition source status. Must be within the source statuses of the transition system.
target	character: Transition destination status. Must be within the target statuses of the transition system. If you do not specify any of the two arguments source or target, a drop-down menu will apear where you can select your desired transition. This feature is using package crosstalk and currently, only works when plotter is plotly.
remove_outliers	logical: Should outliers be removed? If set to TRUE, outliers beyond four standard deviations from the mean, will be removed recursively.
time_unit	character: time unit to be used in the output visualization. Can be one of these options: 'second', 'minute', 'hour', 'day', 'week', 'year'.
plotter	character: Which plotter package do you want to generate the visualization? Currently, only these options are supported: 'plotly', 'ggplot2'

genpack/promer documentation built on Jan. 26, 2025, 11:30 p.m.