ggcptplot: Plot for the changepoint package

In PursuitOfDataScience/ggchangepoint: Combines Changepoint Analysis with 'ggplot2'

Plot for the changepoint package

Description

The plot for changepoints detected by the changepoint package is a line plot for the raw data and the vertical lines representing each changepoint. The x-axis is the row number of the raw data in the original data vector. The plot inherits ggplot2, meaning users can add ggplot2 functions on top the changepoint plot for customization.

Usage

ggcptplot(
  data,
  change_in = "mean_var",
  cp_method = "PELT",
  ...,
  cptline_alpha = 1,
  cptline_color = "blue",
  cptline_type = "solid",
  cptline_size = 0.5
)

Arguments

data	A vector.
change_in	Choice of mean_var, mean, var, and cpt_np. Each choice corresponds to cpt.meanvar(), cpt.mean(), cpt.var() and cpt.np() respectively. The default is mean_var.
cp_method	A wide range of choices (i.e., AMOC, PELT, SegNeigh or BinSeg). Please note when change_in is cpt_np, PELT is the only option.
...	Extra arguments for each cpt function mentioned in the change_in section.
cptline_alpha	The value of alpha for the vertical changepoint line(s), default is 1, meaning no transparency.
cptline_color	The color for the vertical changepoint line(s), default is blue.
cptline_type	The linetype for the vertical changepoint line(s), default is solid.
cptline_size	The size for the vertical changepoint line(s), default is 0.5.

Value

A line plot with data points along with the vertical lines representing changepoints.

Examples

ggcptplot(c(rnorm(100,0,1),rnorm(100,0,10)))
ggcptplot(c(rnorm(100,0,1),rnorm(100,10,1)))

PursuitOfDataScience/ggchangepoint documentation built on April 1, 2022, 10:55 p.m.