Created
September 18, 2018 20:21
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fstatistic in breeze/scala
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import breeze.linalg._ | |
import breeze.stats._ | |
import breeze.numerics._ | |
def fStatistic(test: DenseVector[Double], control: DenseMatrix[Double]): Double = { | |
val mtest = test.toDenseMatrix | |
val allData = DenseMatrix.vertcat(mtest, control) | |
val grandMean = mean(allData) | |
val testMean = mean(test) | |
// sum of squares between canary mean and grandMean | |
val sumSqBetwn: Double = | |
sum(pow((testMean -:- grandMean), 2.0) *:* allData.rows.toDouble) | |
// sum of squares total | |
val sumSqTotal: Double = sum(pow(allData -:- grandMean, 2.0)) | |
// sum of squares error | |
val sumSqError: Double = sumSqTotal - sumSqBetwn | |
// mean square between | |
val meanSqBtwn: Double = sumSqBetwn / (allData.cols - 1) | |
// mean square within | |
val meanSqWithin: Double = sumSqError / ((allData.rows * allData.cols) - mtest.cols).toDouble | |
meanSqBtwn / meanSqWithin | |
} |
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