simEd (version 1.0.2)

meanTPS: Mean of Time-Persistent Statistics (TPS)

Description

Computes the sample mean of a time-persistent statistic.

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 observations

Value

Computes the sample mean of the time-persistent statistic provided.

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.

Examples

# NOT RUN {
  times <- c(1,2,3,4,5)
  counts <- c(1,2,1,1,2)
  meanTPS(times, counts)

  output <- ssq(seed = 54321, maxTime = 1000, 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)
# }