| # 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 Laplace distribution tests in |
| # org.apache.commons.math4.distribution.LaplaceDistributionTest |
| # |
| # 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>") |
| # |
| # R functions used |
| # dlaplace(x, location = 0, scale = 1, log = FALSE, max = TRUE) |
| # plaplace(q, location = 0, scale = 1, lower.tail = TRUE, max = TRUE) |
| |
| #----------------------------------------------------------------------------- |
| tol <- 1E-9 |
| |
| # Function definitions |
| |
| source("testFunctions") # utility test functions |
| library("VGAM") |
| |
| # function to verify distribution computations |
| verifyDistribution <- function(points, expected, m, s, tol) { |
| rDistValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDistValues[i] <- plaplace(point, m, s) |
| } |
| output <- c("Distribution test m = ",m,", s = ", s) |
| 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, m, s, tol) { |
| rDensityValues <- rep(0, length(points)) |
| i <- 0 |
| for (point in points) { |
| i <- i + 1 |
| rDensityValues[i] <- dlaplace(point, m, s) |
| } |
| output <- c("Density test m = ",m,", s = ", s) |
| if (assertEquals(expected, rDensityValues, tol, "Density Values")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| #-------------------------------------------------------------------------- |
| cat("Laplace test cases\n") |
| |
| m <- 0 |
| s <- 1 |
| distributionPoints <- c(-5:5) |
| densityValues <- c(0.0033689734995427335,0.00915781944436709,0.024893534183931972,0.06766764161830635,0.18393972058572117,0.5,0.18393972058572117,0.06766764161830635,0.024893534183931972,0.00915781944436709,0.0033689734995427335) |
| distributionValues <- c(0.0033689734995427335,0.00915781944436709,0.024893534183931972,0.06766764161830635,0.18393972058572117,0.5,0.8160602794142788,0.9323323583816936,0.9751064658160681,0.9908421805556329,0.9966310265004573) |
| verifyDistribution(distributionPoints, distributionValues, m, s, tol) |
| verifyDensity(distributionPoints, densityValues, m, s, tol) |
| |
| m <- -5 |
| s <- 4 |
| distributionPoints <- c(-5:5) |
| densityValues <- c(0.125,0.09735009788392561,0.07581633246407918,0.059045819092626836,0.04598493014643029,0.03581309960752376,0.027891270018553727,0.021721742931305642,0.016916910404576588,0.013174903070233042,0.01026062482798735) |
| distributionValues <- c(0.5,0.6105996084642975,0.6967346701436833,0.7638167236294926,0.8160602794142788,0.8567476015699049,0.888434919925785,0.9131130282747775,0.9323323583816936,0.9473003877190679,0.9589575006880506) |
| verifyDistribution(distributionPoints, distributionValues, m, s, tol) |
| verifyDensity(distributionPoints, densityValues, m, s, tol) |