EBSPlotProba: Plot distribution of changepoints of one profile
In EBS: Exact Bayesian Segmentation

Description Usage Arguments Details Value Author(s) References See Also Examples

Given a profile and its number of segments, plots the posterior distribution of each of the change-points

1	EBSPlotProba(x,K,data=FALSE, file=character(), type='pdf')

`x`	An object of class EBS returned by function EBSegmentation applied to data of interest.
`K`	The number of segments of the segmentation for which the posterior distributions are wanted. Must have 2<K<x$Kmax
`data`	A logical vector. If TRUE, the data is plotted as well as the posterior distributions. By default, data=FALSE.
`file`	An object of type string. If filled, the plot is saved in a file which name is given by the file argument, and which type is given by argument type.
`type`	An object of type string. If file is filled, argument type determines the type of the file saved. Possible values are 'pdf', 'png' and 'ps'. By default, 'pdf' is used.

For a single profile, this function is used to plot the posterior distribution of all changepoints of a segmentation in K segments.

A plot of the posterior distributions.

Alice Cleynen

Rigaill, Lebarbier & Robin (2012): Exact posterior distributions over the segmentation space and model selection for multiple change-point detection problems Statistics and Computing

Cleynen & Robin (2014): Comparing change-point location in independent series Statistics and Computing

EBSegmentation, EBSDistrib

# changes for Poisson model
set.seed(1)
x<-c(rpois(125,1),rpois(100,5),rpois(50,1),rpois(75,5),rpois(50,1))
out <- EBSegmentation(x,model=1,Kmax=20)
EBSPlotProba(out,4)
EBSPlotProba(out,4,data=TRUE,file="mysegmentation.png",type='png')