| # 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 Gamma distribution tests in |
| # org.apache.commons.math.distribution.GammaDistributionTest |
| # |
| # 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, alpha, beta, tol) { |
| rDistValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDistValues[i] <- pgamma(point, shape=alpha, scale=beta, log = FALSE) |
| } |
| output <- c("Distribution test shape = ", shape, " scale = ", scale) |
| 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, alpha, beta, tol) { |
| rDensityValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDensityValues[i] <- dgamma(point, shape=alpha, scale=beta, log = FALSE) |
| } |
| output <- c("Density test shape = ", shape, " scale = ", scale) |
| if (assertEquals(expected, rDensityValues, tol, "Density Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| # function to verify quantiles |
| verifyQuantiles <- function(points, expected, alpha, beta, tol) { |
| rQuantileValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rQuantileValues[i] <- qgamma(point, shape=alpha, scale=beta, log = FALSE) |
| } |
| output <- c("Quantile test shape = ", shape, " scale = ", scale) |
| if (assertEquals(expected, rQuantileValues, tol, "Quantile Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| #-------------------------------------------------------------------------- |
| cat("Gamma Distribution test cases\n") |
| |
| shape <- 4 |
| scale <- 2 |
| distributionValues <- c(0.001, 0.01, 0.025, 0.05, 0.1, 0.999, 0.990, 0.975, 0.950, 0.900) |
| densityValues <- c(0.00427280075546, 0.0204117166709, 0.0362756163658, 0.0542113174239, 0.0773195272491, |
| 0.000394468852816, 0.00366559696761, 0.00874649473311, 0.0166712508128, 0.0311798227954) |
| distributionPoints <- c(0.857104827257, 1.64649737269, 2.17973074725, 2.7326367935, 3.48953912565, |
| 26.1244815584, 20.0902350297, 17.5345461395, 15.5073130559, 13.3615661365) |
| verifyQuantiles(distributionValues, distributionPoints, shape, scale, tol) |
| verifyDistribution(distributionPoints, distributionValues, shape, scale, tol) |
| verifyDensity(distributionPoints, densityValues, shape, scale, tol) |
| |
| displayDashes(WIDTH) |