meanTPS: Mean of Time-Persistent Statistics (TPS)

In simEd: Simulation Education

Mean of Time-Persistent Statistics (TPS)

Description

Computes the sample mean of a time-persistent function.

Usage

meanTPS(times = NULL, numbers = NULL)

Arguments

times	A numeric vector of non-decreasing time observations
numbers	A numeric vector containing the values of the time-persistent statistic between the time observation

Details

The lengths of times and numbers either must be the same, or times may have one more entry than numbers (interval endpoints vs. interval counts). The sample mean is the area under the step-function created by the values in numbers between the first and last element in times divided by the length of the observation period.

Value

the sample mean of the time-persistent function provided

Author(s)

Barry Lawson ([e-mail]),
Larry Leemis ([e-mail]),
Vadim Kudlay ([e-mail])

Examples

 times  <- c(1,2,3,4,5)
 counts <- c(1,2,1,1,2)
 meanTPS(times, counts)

 output <- ssq(seed = 54321, maxTime = 100, saveServerStatus = TRUE)
 utilization <- meanTPS(output$serverStatusT, output$serverStatusN)

 # compute and graphically display mean of number in system vs time
 output <- ssq(maxArrivals = 60, seed = 54321, saveAllStats = TRUE)
 plot(output$numInSystemT, output$numInSystemN, type = "s", bty = "l",
     las = 1, xlab = "time", ylab = "number in system")
 timeAvgNumInSysMean <- meanTPS(output$numInSystemT, output$numInSystemN)
 abline(h = timeAvgNumInSysMean, lty = "solid", col = "red", lwd = 2)

simEd documentation built on Nov. 27, 2023, 1:07 a.m.