ocp (version 0.1.1)

plot.ocp: Plot Object

Description

Plot ocpd object, to show the data and the R matrix probabilities.

Usage

# S3 method for ocp
plot(x, data = NULL, Rmat = NULL,
  graph_changepoints = TRUE, graph_probabilities = TRUE,
  showmaxes = TRUE, showmeans = TRUE, showcps = TRUE,
  showdata = TRUE, showRprobs = TRUE, cplistID = 3,
  main_title = "", trueCPs = NULL, showdataleg = TRUE,
  timepoints = NULL, timeunits = NULL, grey_digits = 4,
  varnames = NULL, ...)

Arguments

x

the ocp object to plot

data

optional input data to plot

Rmat

optional input Rmat to plot

graph_changepoints

set to TRUE to graph the changepoints

graph_probabilities

set TRUE to show R matrix graphed

showmaxes

set TRUE to show the maxes in each columns in the R matrix plot

showmeans

set TRUE to show the means on the changepoints plot

showcps

set TRUE to show the the locations of changepoints

showdata

set TRUE to show the actual data points

showRprobs

set TRUE to show the probabilities in the R matrix

cplistID

method of extracting the changepoints: either "colmaxes", "threshcps", or "maxCPs" stored in the "changepoints_list" in the ocpd object

main_title

The main title for both plots, e.g. "Eurogames Data"

trueCPs

input the true known changepoints for comparison

showdataleg

Set true to show legend for the data points, set to false if there are too many dimensions, legend will be crowded.

timepoints

List of timepoints to use as x-axis labels.

timeunits

Units to display for the timescale on the plot.

grey_digits

The limit of decimal places to keep in the probability before converting to an index in the grey-scale, controls amount of detail and darkness of the shading on the plot.

varnames

List of variable names to display in the legend.

...

(optional) additional arguments, ignored.

Examples

# NOT RUN {
simdatapts<- c(rnorm(n = 50), rnorm(n=50, 100))
ocpd1<- onlineCPD(simdatapts, getR=TRUE)
plot(ocpd1) # basic plot
plot(ocpd1, data= simdatapts) # plot with the original data
plot(ocpd1, trueCPs = c(1, 51)) # plot with showing the true changepoints
plot(ocpd1, main_title="Example plot", showmaxes = FALSE) # not showing max probabilities
plot(ocpd1, graph_changepoints=FALSE) # not showing the changepoints plot
plot(ocpd1, graph_probabilities=FALSE) # not showing the R matrix
plot(ocpd1, showRprobs=FALSE, showcps= FALSE)#plotting r with maxes but no probabilities,
# and not showing the locations of the found changepoints

# }