| # 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 Nakagami distribution tests in |
| # org.apache.commons.math4.distribution.NakagamiDistributionTest |
| # |
| # 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 |
| # dnaka(x, location = 0, scale = 1, log = FALSE, max = TRUE) |
| # pnaka(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] <- pnaka(point, s, m) |
| } |
| 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] <- dnaka(point, s, m) |
| } |
| 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("Nakagami test cases\n") |
| |
| m <- 0.5 |
| s <- 1 |
| distributionPoints <- seq(from = 0, to = 2, by = 0.2) |
| densityValues <- c(0.0,0.7820853879509118,0.7365402806066467,0.6664492057835993,0.5793831055229655,0.48394144903828673,0.38837210996642585,0.29945493127148964,0.2218416693589111,0.1579003166017883,0.10798193302637613) |
| distributionValues <- c(0.0,0.15851941887820603,0.3108434832206483,0.45149376449985296,0.5762892028332065,0.6826894921370859,0.7698606595565836,0.8384866815324576,0.8904014166008841,0.9281393617741498,0.9544997361036424) |
| verifyDistribution(distributionPoints, distributionValues, m, s, tol) |
| verifyDensity(distributionPoints, densityValues, m, s, tol) |
| |
| m <- 1 |
| s <- 2 |
| distributionPoints <- seq(from = 0, to = 2, by = 0.2) |
| densityValues <- c(0.0,0.19603973466135105,0.36924653855465434,0.5011621268467633,0.5809192296589527,0.6065306597126334,0.584102707151966,0.5254355383919593,0.44485968072511056,0.3562176583505064,0.2706705664732254) |
| distributionValues <- c(0.0,0.0198013266932447,0.07688365361336423,0.16472978858872803,0.273850962926309,0.3934693402873665,0.5132477440400285,0.6246889011486005,0.7219626995468056,0.8021013009163853,0.8646647167633873) |
| verifyDistribution(distributionPoints, distributionValues, m, s, tol) |
| verifyDensity(distributionPoints, densityValues, m, s, tol) |