blob: 7bc0144c86fd2ded504a67c11d66660f0156fdb0 [file] [log] [blame]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
posSamples = read($1, format="text")
negSamples = read($2, format="text")
#computing sample sizes
posSampleSize = nrow(posSamples)
negSampleSize = nrow(negSamples)
#computing means
posSampleMeans = colMeans(posSamples)
negSampleMeans = colMeans(negSamples)
#computing (unbiased) variances
posSampleVariances = (colSums(posSamples^2) - posSampleSize * posSampleMeans^2) / (posSampleSize-1)
negSampleVariances = (colSums(negSamples^2) - negSampleSize * negSampleMeans^2) / (negSampleSize-1)
#computing t-statistics and degrees of freedom
t_statistics = (posSampleMeans - negSampleMeans) / sqrt(posSampleVariances/posSampleSize + negSampleVariances/negSampleSize)
degrees_of_freedom = round(((posSampleVariances/posSampleSize + negSampleVariances/negSampleSize) ^ 2) / (posSampleVariances^2/(posSampleSize^2 * (posSampleSize-1)) + negSampleVariances^2/(negSampleSize^2 * (negSampleSize-1))))
write(t_statistics, $3, format="text")
write(degrees_of_freedom, $4, format="text")