R: Plotting the mean value function for the Duane model
duane.plot
R Documentation
Plotting the mean value function for the Duane model
Description
duane.plot plots the mean value function for the Duane model and the raw
data into one window.
Usage
duane.plot(rho, theta, t, xlab = "time",
ylab = "Cumulated failures and estimated mean value function",
main = NULL)
Arguments
rho
parameter value for rho
theta
parameter value for theta
t
time between failure data
xlab
a title for the x axis
ylab
a title for the y axis
main
an overall title for the plot
Details
This function gives a plot of the mean value function for the Duane model. Here
the estimated parameter values for rho and theta, which are obtained
by using duane, can be put in. Internally the function mvf.duane
is used to get the mean value function for the Duane model.
Value
A graph of the mean value function for the Duane model and of the raw data.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(Reliability)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Reliability/duane.plot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: duane.plot
> ### Title: Plotting the mean value function for the Duane model
> ### Aliases: duane.plot
> ### Keywords: models
>
> ### ** Examples
>
> # time between-failure-data from DACS Software Reliability Dataset
> # homepage, see system code 1. Number of failures is 136.
> t <- c(3, 30, 113, 81, 115, 9, 2, 20, 20, 15, 138, 50, 77, 24,
+ 108, 88, 670, 120, 26, 114, 325, 55, 242, 68, 422, 180,
+ 10, 1146, 600, 15, 36, 4, 0, 8, 227, 65, 176, 58, 457,
+ 300, 97, 263, 452, 255, 197, 193, 6, 79, 816, 1351, 148,
+ 21, 233, 134, 357, 193, 236, 31, 369, 748, 0, 232, 330,
+ 365, 1222, 543, 10, 16, 529, 379, 44, 129, 810, 290, 300,
+ 529, 281, 160, 828, 1011, 445, 296, 1755, 1064, 1783,
+ 860, 983, 707, 33, 868, 724, 2323, 2930, 1461, 843, 12,
+ 261, 1800, 865, 1435, 30, 143, 108, 0, 3110, 1247, 943,
+ 700, 875, 245, 729, 1897, 447, 386, 446, 122, 990, 948,
+ 1082, 22, 75, 482, 5509, 100, 10, 1071, 371, 790, 6150,
+ 3321, 1045, 648, 5485, 1160, 1864, 4116)
>
> rho <- duane(t)$rho
> theta <- duane(t)$theta
>
> duane.plot(rho, theta, t, xlab = "time (in seconds)", main = "Duane model")
>
>
>
>
>
> dev.off()
null device
1
>