Learn R Programming

simEd (version 2.0.1)

quantileTPS: Sample Quantiles of Time-Persistent Statistics (TPS)

Description

Computes the sample quantiles of a time-persistent function, corresponding to the given probabilities.

Usage

quantileTPS(times = NULL, numbers = NULL, probs = c(0, 0.25, 0.5, 0.75, 1))

Value

a vector of the sample quantiles of the time-persistent function provided

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

probs

A numeric vector of probabilities with values in [0,1]

Author

Barry Lawson (blawson@bates.edu),
Larry Leemis (leemis@math.wm.edu),
Vadim Kudlay (vkudlay@nvidia.com)

Details

   The lengths of \code{times} and \code{numbers} either must be
the same, or \code{times} may have one more entry than \code{numbers}
(interval endpoints vs. interval counts).  The sample quantiles are calculated
by determining the length of time spent in each state, sorting these times,
then calculating the quantiles associated with the values in the \code{prob}
vector in the same fashion as one would calculate quantiles associated with
a univariate discrete probability distribution.

Examples

Run this code
 times  <- c(1,2,3,4,5)
 counts <- c(1,2,1,1,2)
 meanTPS(times, counts)
 sdTPS(times, counts)
 quantileTPS(times, counts)

 output <- ssq(seed = 54321, maxTime = 100, saveNumInSystem = TRUE)
 utilization <- meanTPS(output$numInSystemT, output$numInSystemN)
 sdServerStatus <- sdTPS(output$numInSystemT, output$numInSystemN)
 quantileServerStatus <- quantileTPS(output$numInSystemT, output$numInSystemN)

 # compute and graphically display quantiles of number in system vs time
 output <- ssq(maxArrivals = 60, seed = 54321, saveAllStats = TRUE)
 quantileSys <- quantileTPS(output$numInSystemT, output$numInSystemN)
 plot(output$numInSystemT, output$numInSystemN, type = "s", bty = "l",
     las = 1, xlab = "time", ylab = "number in system")
 labels <- c("0%", "25%", "50%", "75%", "100%")
 mtext(text = labels, side = 4, at = quantileSys, las = 1, col = "red")
 abline(h = quantileSys, lty = "dashed", col = "red", lwd = 2)

Run the code above in your browser using DataLab