home | career | drupal | java | mac | mysql | perl | scala | uml | unix  

Java example source code file (ChiSquareDistributionTestCases.R)

This example Java source code file (ChiSquareDistributionTestCases.R) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

apache, asf, chisquare, density, distribution, failed, false, license, quantile, succeeded, values, width, you

The ChiSquareDistributionTestCases.R Java example source code

# 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 ChiSquare distribution tests in
# org.apache.commons.math.distribution.ChiSquareDistributionTest
#
# 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, df, tol) {
 rDistValues <- rep(0, length(points))
    i <- 0
    for (point in points) {
        i <- i + 1
        rDistValues[i] <- pchisq(point, df, log = FALSE)
    }
    output <- c("Distribution test df = ", df)
    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, df, tol) {
 rDensityValues <- rep(0, length(points))
    i <- 0
    for (point in points) {
        i <- i + 1
        rDensityValues[i] <- dchisq(point, df, log = FALSE)
    }
    output <- c("Density test df = ", df)
    if (assertEquals(expected, rDensityValues, tol, "Density Values")) {
        displayPadded(output, SUCCEEDED, WIDTH)
    } else {
        displayPadded(output, FAILED, WIDTH)
    }
}

# function to verify quantiles
verifyQuantiles <- function(points, expected, df, tol) {
	rQuantileValues <- rep(0, length(points))
    i <- 0
    for (point in points) {
        i <- i + 1
        rQuantileValues[i] <- qchisq(point, df, log = FALSE)
    }
    output <- c("Quantile test df = ", df)
    if (assertEquals(expected, rQuantileValues, tol, "Quantile Values")) {
        displayPadded(output, SUCCEEDED, WIDTH)
    } else {
        displayPadded(output, FAILED, WIDTH)
    }
}

#--------------------------------------------------------------------------
cat("ChiSquare Distribution test cases\n")

df <- 5
distributionValues <- c(0.001, 0.01, 0.025, 0.05, 0.1, 0.999, 0.990, 0.975, 0.950, 0.900)
densityValues <- c(0.0115379817652, 0.0415948507811, 0.0665060119842, 0.0919455953114, 0.121472591024,
                 0.000433630076361, 0.00412780610309, 0.00999340341045, 0.0193246438937, 0.0368460089216)
distributionPoints <- c(0.210212602629, 0.554298076728, 0.831211613487, 1.14547622606, 1.61030798696,
                20.5150056524, 15.0862724694, 12.8325019940, 11.0704976935, 9.23635689978)
verifyQuantiles(distributionValues, distributionPoints, df, tol)
verifyDistribution(distributionPoints, distributionValues, df, tol)
verifyDensity(distributionPoints, densityValues, df, tol)

df <- .1
distributionPoints <- c(1.16892641146e-60, 1.16892641146e-40, 1.06313237798e-32, 1.11477509638e-26, 1.16892641146e-20,
                5.47291719746, 2.17525480018, 1.13434752351, 0.531864604852, 0.152634227818)
verifyQuantiles(distributionValues, distributionPoints, df, tol)
verifyDistribution(distributionPoints, distributionValues, df, tol)

displayDashes(WIDTH)

Other Java examples (source code examples)

Here is a short list of links related to this Java ChiSquareDistributionTestCases.R source code file:



my book on functional programming

 

new blog posts

 

Copyright 1998-2019 Alvin Alexander, alvinalexander.com
All Rights Reserved.

A percentage of advertising revenue from
pages under the /java/jwarehouse URI on this website is
paid back to open source projects.