jcp (version 1.2)

plot.jcp: plot.jcp

Description

Plot method for class 'jcp'

Usage

# S3 method for jcp
plot(x, cex = 1, cex.main = 1, ...)

Arguments

x

object of class jcp

cex

numeric, global sizes in plot

cex.main

numeric, size of titles

...

additional arguments

Value

No return value, called for side effects

References

Michael Messer (2021) Bivariate change point detection - joint detection of changes in expectation and variance, Scandinavian Journal of Statistics, DOI 10.1111/sjos.12547.

See Also

jcp, summary.jcp

Examples

# NOT RUN {
# Normal distributed sequence with 3 change points at
# c1=250 (change in expectation), 
# c2=500 (change in variance) and 
# c3=750 (change in expectation and variance) 
set.seed(0)
m      <- c(8,10,10,3);   s  <- c(4,4,10,5)
x      <- rnorm(1000, mean=rep(m,each=250), sd=rep(s,each=250))
result <- jcp(x)
summary(result)
plot(result)

# Set additional parameters (window set)
result2 <- jcp(x,H=c(80,160,240))
summary(result2)
plot(result2)

# }