| # 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 Weibull 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] <- pweibull(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] <- dweibull(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] <- qweibull(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("Weibull Distribution test cases\n") |
| |
| shape <- 1.2 |
| scale <- 2.1 |
| distributionValues <- c(0.001, 0.01, 0.025, 0.05, 0.1, 0.999, 0.990, 0.975, 0.950, 0.900) |
| densityValues <- c(0.180535929306, 0.262801138133, 0.301905425199, 0.330899152971, 0.353441418887, 0.000788590320203, |
| 0.00737060094841, 0.0177576041516, 0.0343043442574, 0.065664589369) |
| distributionPoints <- c(0.00664355180993, 0.0454328283309, 0.0981162737374, 0.176713524579, 0.321946865392, |
| 10.5115496887, 7.4976304671, 6.23205600701, 5.23968436955, 4.20790282578) |
| verifyQuantiles(distributionValues, distributionPoints, shape, scale, tol) |
| verifyDistribution(distributionPoints, distributionValues, shape, scale, tol) |
| verifyDensity(distributionPoints, densityValues, shape, scale, tol) |
| |
| displayDashes(WIDTH) |