| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| #------------------------------------------------------------------------------ |
| # R source file to validate exponential distribution tests in |
| # org.apache.commons.math.distribution.ExponentialDistributionTest |
| # |
| # To run the test, install R, put this file and testFunctions |
| # into the same directory, launch R from this directory and then enter |
| # source("<name-of-this-file>") |
| # |
| #------------------------------------------------------------------------------ |
| tol <- 1E-9 |
| |
| # Function definitions |
| |
| source("testFunctions") # utility test functions |
| |
| # function to verify distribution computations |
| |
| verifyDistribution <- function(points, expected, mean, tol) { |
| rDistValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDistValues[i] <- pexp(point, 1/mean) |
| } |
| output <- c("Distribution test mean = ", mean) |
| if (assertEquals(expected, rDistValues, tol, "Distribution Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| # function to verify density computations |
| verifyDensity <- function(points, expected, mean, tol) { |
| rDensityValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDensityValues[i] <- dexp(point, 1/mean) |
| } |
| output <- c("Density test mean = ", mean) |
| if (assertEquals(expected, rDensityValues, tol, "Density Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| # function to verify quantiles |
| verifyQuantiles <- function(points, expected, mean, tol) { |
| rQuantileValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rQuantileValues[i] <- qexp(point, 1/mean, log = FALSE) |
| } |
| output <- c("Quantile test mean = ", mean) |
| if (assertEquals(expected, rQuantileValues, tol, "Quantile Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| |
| #-------------------------------------------------------------------------- |
| cat("Exponential test cases\n") |
| |
| mean <- 5 |
| |
| distributionValues <- c(0, 0, 0.001, 0.01, 0.025, 0.05, 0.1, 0.999, |
| 0.990, 0.975, 0.950, 0.900) |
| densityValues <- c(0.2, 0.2, 0.1998, 0.198, 0.195, 0.19, 0.18, 0.000200000000000, |
| 0.00200000000002, 0.00499999999997, 0.00999999999994, 0.0199999999999) |
| distributionPoints <- c(0, 0, 0.00500250166792, 0.0502516792675, 0.126589039921, 0.256466471938, |
| 0.526802578289, 34.5387763949, 23.0258509299, 18.4443972706, 14.9786613678, 11.5129254650) |
| verifyDistribution(distributionPoints, distributionValues, mean, tol) |
| verifyQuantiles(distributionValues, distributionPoints, mean, tol) |
| verifyDensity(distributionPoints, densityValues, mean, tol) |
| |
| output <- "Probability test P(.25 < X < .75)" |
| if (assertEquals(0.0905214480757, pexp(.75, 1/mean) - pexp(.25, 1/mean), tol, "Probability value")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| |
| displayDashes(WIDTH) |