sample=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,3,5],[5,1,8],[6,7,2]]
min=class=Point name=Unnamed dimension=3 values=[1,0,2]
max=class=Point name=Unnamed dimension=3 values=[6,7,9]
mean=class=Point name=Unnamed dimension=3 values=[3.5,2.75,6]
covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[5.66667,4.83333,-4.33333,4.83333,9.58333,-9.66667,-4.33333,-9.66667,10]
standard deviation=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2.38048,2.03041,-1.82036,0,2.33683,-2.55499,0,0,0.397855]
standard deviation per component=class=Point name=Unnamed dimension=3 values=[2.38048,3.0957,3.16228]
Pearson correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.65588,-0.57565,0.65588,1,-0.987458,-0.57565,-0.987458,1]
Spearman correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.8,-0.8,0.8,1,-1,-0.8,-1,1]
Kendall tau=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.666667,-0.666667,0.666667,1,-1,-0.666667,-1,1]
range per component=class=Point name=Unnamed dimension=3 values=[5,7,7]
median per component=class=Point name=Unnamed dimension=3 values=[3.5,2,6.5]
Variance=class=Point name=Unnamed dimension=3 values=[5.66667,9.58333,10]
Skewness=class=Point name=Unnamed dimension=3 values=[0,1.13762,-0.632456]
Kurtosis=class=Point name=Unnamed dimension=3 values=[-1.3391,3.75766,1.3]
Centered moment of order 0=class=Point name=Unnamed dimension=3 values=[1,1,1]
Centered moment of order 1=class=Point name=Unnamed dimension=3 values=[0,0,0]
Centered moment of order 2=class=Point name=Unnamed dimension=3 values=[4.25,7.1875,7.5]
Centered moment of order 3=class=Point name=Unnamed dimension=3 values=[0,12.6562,-7.5]
Centered moment of order 4=class=Point name=Unnamed dimension=3 values=[22.0625,98.207,88.5]
Centered moment of order 5=class=Point name=Unnamed dimension=3 values=[0,303.223,-187.5]
Centered moment of order 6=class=Point name=Unnamed dimension=3 values=[127.766,1588.55,1222.5]
Centered moment of order 7=class=Point name=Unnamed dimension=3 values=[0,5951.35,-3517.5]
Centered moment of order 8=class=Point name=Unnamed dimension=3 values=[775.754,27450.1,18088.5]
Centered moment of order 9=class=Point name=Unnamed dimension=3 values=[0,110807,-60487.5]
Marginal 1=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0],[3],[1],[7]]
Marginal [2, 0]=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=2 data=[[9,1],[5,2],[8,5],[2,6]]
Rank=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[0,0,3],[1,2,1],[2,1,2],[3,3,0]]
Sort=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,3,5],[5,1,8],[6,7,2]]
Sort according to component 0=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,3,5],[5,1,8],[6,7,2]]
Quantile per component(0.25)=class=Point name=Unnamed dimension=3 values=[1.5,0.5,3.5]
Empirical CDF(class=Point name=Unnamed dimension=3 values=[0.25,0.25,0.25]=0
Pearson correlation (exact)=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.25,0,0.25,1,0.25,0,0.25,1]
Spearman correlation (exact)=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.239359,0,0.239359,1,0.239359,0,0.239359,1]
Rank=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[0,0,1.5],[1.5,3,1.5],[3,1,1.5],[1.5,2,1.5]]
Sort=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,2,9],[2,3,9],[5,1,9]]
Rank component 0=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0],[1.5],[3],[1.5]]
Sort according to component 0=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,3,9],[2,2,9],[5,1,9]]
Spearman correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.316228,0,0.316228,1,0,0,0,1]
Kendall tau=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.182574,0,0.182574,1,0,0,0,1]
Normal=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0,0,0] sigma=class=Point name=Unnamed dimension=3 values=[1,1,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.25,0,0.25,1,0.25,0,0.25,1]
covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.25,0,0.25,1,0.25,0,0.25,1]
Empirical covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.984954,0.228389,-0.00175117,0.228389,1.00735,0.241997,-0.00175117,0.241997,1.01046]
Pearson correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.229286,-0.00175534,0.229286,1,0.239862,-0.00175534,0.239862,1]
Spearman correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.219846,-0.00317292,0.219846,1,0.23306,-0.00317292,0.23306,1]
Unique=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=3 data=[[1,0,9],[2,2,9],[2,3,9],[5,1,9]]
Unique=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=3 data=[[1,0,9],[2,2,9],[2,3,9]]
