src/test/R/descriptiveTestCases

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# 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
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#
#      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 summary statistics tests in
# org.apache.commons.math.stat.CertifiedDataTest
#
# 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
#  mean(x)
#  sd(x)
#------------------------------------------------------------------------------
tol <- 1E-14                     # error tolerance for tests
#------------------------------------------------------------------------------
# Function definitions

source("testFunctions")           # utility test functions
options(digits=15)                # bump displayed digits to 15

verifyMean <- function(values, expectedMean, tol, desc) {
    results <- mean(values)
    if (assertEquals(expectedMean, results, tol, "mean")) {
        displayPadded(c(desc," mean test"), SUCCEEDED, WIDTH)
    } else {
        displayPadded(c(desc, " mean test"), FAILED, WIDTH)
    }
}

verifySigma <- function(values, expectedSigma, tol, desc) {
    results <- sd(values)
    if (assertEquals(expectedSigma, results, tol, "std")) {
        displayPadded(c(desc," std test"), SUCCEEDED, WIDTH)
    } else {
        displayPadded(c(desc, " std test"), FAILED, WIDTH)
    }
}

cat("Descriptive test cases\n")

# Michelson data
values <- c(299.85,299.74,299.90,300.07,299.93,299.85,299.95,299.98,299.98,
299.88,300.00,299.98,299.93,299.65,299.76,299.81,300.00,300.00,299.96,299.96,
299.96,299.94,299.96,299.94,299.88,299.80,299.85,299.88,299.90,299.84,299.83,
299.79,299.81,299.88,299.88,299.83,299.80,299.79,299.76,299.80,299.88,299.88,
299.88,299.86,299.72,299.72,299.62,299.86,299.97,299.95,299.88,299.91,299.85,
299.87,299.84,299.84,299.85,299.84,299.84,299.84,299.89,299.81,299.81,299.82,
299.80,299.77,299.76,299.74,299.75,299.76,299.91,299.92,299.89,299.86,299.88,
299.72,299.84,299.85,299.85,299.78,299.89,299.84,299.78,299.81,299.76,299.81,
299.79,299.81,299.82,299.85,299.87,299.87,299.81,299.74,299.81,299.94,299.95,
299.80,299.81,299.87)
expectedMean <- 299.852400000000
expectedSigma <- 0.0790105478190518
verifyMean(values, expectedMean, tol, "Michelson")
verifySigma(values, expectedSigma, tol, "Michelson")

# Mavro data
values <- c(2.00180,2.00170,2.00180,2.00190,2.00180,2.00170,2.00150,2.00140,
2.00150,2.00150,2.00170,2.00180,2.00180,2.00190,2.00190,2.00210,2.00200,
2.00160,2.00140,2.00130,2.00130,2.00150,2.00150,2.00160,2.00150,2.00140,
2.00130,2.00140,2.00150,2.00140,2.00150,2.00160,2.00150,2.00160,2.00190,
2.00200,2.00200,2.00210,2.00220,2.00230,2.00240,2.00250,2.00270,2.00260,
2.00260,2.00260,2.00270,2.00260,2.00250,2.00240)
expectedMean <- 2.00185600000000
expectedSigma <- 0.000429123454003053
verifyMean(values, expectedMean, tol, "Mavro")
verifySigma(values, expectedSigma, tol, "Mavro")

displayDashes(WIDTH)