CARMS (version 1.0.1)

plot.carms: Deliver a plot of the simulation of a carms object.

Description

This function delivers a plot of the varying probability of each state over the simulated mission history.

Usage

# S3 method for carms
plot(x, spline_curve=TRUE, knots=10, ...)

Value

This function returns a matrix of probabilities for each state at each time step to the carms$simulation list element.

Arguments

x

A completed "carms" object including a simulation.

spline_curve

A logical determining whether to generate a smoothed spline curve from the simulation data (alternatively line segments from step to step will be displayed).

knots

An integer value of a fraction of simulation intervals to use for determination of a smoothed spline.

...

A list argument enabling modification of certain defaults (not yet implemented)

Details

This function is specified as an S3 method so can be called as simply plot().

References

Jan Pukite and Paul Pukite (1998), "Modeling for Reliability Analysis", IEEE Press, New York

William J. Stewart (1994), "Introduction to the numerical solution of Markov chains", Princeton University Press, Princeton

Examples

	SiSimpl<-carms.make(title="Parallel            Identical components", diagram_grid=c(5,8))
	SiSimpl<-carms.state(SiSimpl, prob=1, name="P1", size=7, h2w=14/20, position=c(2,3) )
	SiSimpl<-carms.state(SiSimpl, prob=0, name="P2", size=7, h2w=14/20, position=c(6,3) )	
	SiSimpl<-carms.base(SiSimpl, 1, time_units="hours",  description="Failure rate")
	SiSimpl<-carms.arrow(SiSimpl, from=1, to=2, rate="B1",label="B1")
	SiSimpl<-simulate(SiSimpl, solution="rk", mission_time=200)
	# \donttest{
	plot.carms(SiSimpl)
	plot(SiSimpl)
	# }