plot.SNSeg_Uni: Plotting the output for univariate or bivariate time series...

In SNSeg: Self-Normalization(SN) Based Change-Point Estimation for Time Series

Plotting the output for univariate or bivariate time series (testing the change in correlation between bivariate time series)

Description

Plotting method for S3 objects of class SNSeg_Uni

Usage

## S3 method for class 'SNSeg_Uni'
plot(x, cpts.col = "red", ...)

Arguments

x	a SNSeg_Uni object
cpts.col	a specification for the color of the vertical lines at the change point estimators, see par
...	additional graphical arguments, see plot and abline. Users are allowed to enter their own title for the univariate time series plot. The bivariate time series does not contain this option.

Details

The location of each change point estimator is plotted as a vertical line against the input time series.

Examples

set.seed(7)
ts <- MAR_Variance(2, "V1")
ts <- ts[,2]
# test the change in a single parameter (variance)
# grid_size defined
result <- SNSeg_Uni(ts, paras_to_test = "variance", confidence = 0.9,
                    grid_size_scale = 0.05, grid_size = 67,
                    plot_SN = FALSE, est_cp_loc = TRUE)
plot(result, cpts.col='red')

SNSeg documentation built on June 22, 2024, 10:50 a.m.