| # 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 Binomial distribution tests in |
| # org.apache.commons.math.distribution.BinomialDistributionTest |
| # |
| # 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 |
| # anova(model) <- anova |
| # lm(frame) <- linear model |
| #------------------------------------------------------------------------------ |
| tol <- 1E-12 # error tolerance for tests |
| #------------------------------------------------------------------------------ |
| # Function definitions |
| |
| source("testFunctions") # utility test functions |
| options(digits=16) # override number of digits displayed |
| |
| # function to verify anova computations |
| |
| verifyAnova <- function(frame, expectedP, expectedF, frameName) { |
| a <- anova(lm(frame)) |
| p <- a$"Pr(>F)"[1] |
| f <- a$"F value"[1] |
| output <- c("P-value test frame = ", frameName) |
| if (assertEquals(expectedP,p,tol,"P value")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| output <- c("F-value test frame = ", frameName) |
| if (assertEquals(expectedF,f,tol,"F value")) { |
| displayPadded(output, SUCCEEDED, WIDTH) |
| } else { |
| displayPadded(output, FAILED, WIDTH) |
| } |
| } |
| |
| #-------------------------------------------------------------------------- |
| cat("Anova test cases\n") |
| classA <- c(93.0, 103.0, 95.0, 101.0, 91.0, 105.0, 96.0, 94.0, 101.0) |
| classB <- c(99.0, 92.0, 102.0, 100.0, 102.0, 89.0) |
| classC <- c(110.0, 115.0, 111.0, 117.0, 128.0, 117.0) |
| |
| threeClasses = data.frame(val = c(classA, classB, classC), |
| class=c(rep("classA", length(classA)), |
| rep("classB", length(classB)), |
| rep("classC", length(classC)))) |
| |
| verifyAnova(threeClasses,6.959446e-06, 24.67361709460624, "Three classes") |
| |
| twoClasses = data.frame(val = c(classA, classB), |
| class=c(rep("classA", length(classA)), rep("classB", length(classB)))) |
| verifyAnova(twoClasses, 0.904212960464, 0.0150579150579, "Two classes") |
| |
| displayDashes(WIDTH) |