1、計算一元線性函數
Tuple<double, double> myLineTuple = MathNet.Numerics.Fit.Line(myXArray, myYArray); double myA = myLineTuple.Item1; double myB = myLineTuple.Item2;
2、常用統計函數
統計最小值、最大值、平均值、分位數等
double myMinimum = MathNet.Numerics.Statistics.Statistics.Minimum(myValueList); double myMean = MathNet.Numerics.Statistics.Statistics.Mean(myValueList); double myMaximum = MathNet.Numerics.Statistics.Statistics.Maximum(myValueList); double myLowerQuartile = MathNet.Numerics.Statistics.Statistics.LowerQuartile(myValueList); double myMedian = MathNet.Numerics.Statistics.Statistics.Median(myValueList); double myUpperQuartile = MathNet.Numerics.Statistics.Statistics.UpperQuartile(myValueList); MathNet.Numerics.Statistics.Statistics.Quantile(this.ValueList,0.2)
3、求兩組樣品的相關係數
MathNet.Numerics.Statistics.Correlation.Pearson(pValueList1, pValueList2);
4、根據相關性矩陣,求特徵值以及特徵向量
public void CalEigenValue(double[,] pCorrelationArray) { var myCorrelationMatrix = DenseMatrix.OfArray(pCorrelationArray); var myEvd = myCorrelationMatrix.Evd(); for (int i = 0; i < this.FactorList.Count; i++) { FactorAnalysisFactor myFactor = this.FactorList[i]; myFactor.EigenValue = myEvd.D[i, i]; myFactor.EigenValueArray = myEvd.EigenVectors.Column(i).ToArray(); } }