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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=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 = [1,1,1]
Centered moment of order 1 = [0,0,0]
Centered moment of order 2 = [4.25,7.1875,7.5]
Centered moment of order 3 = [0,12.6562,-7.5]
Centered moment of order 4 = [22.0625,98.207,88.5]
Centered moment of order 5 = [0,303.223,-187.5]
Centered moment of order 6 = [127.766,1588.55,1222.5]
Centered moment of order 7 = [0,5951.35,-3517.5]
Centered moment of order 8 = [775.754,27450.1,18088.5]
Centered moment of order 9 = [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]
Quantile per component( [0.25, 0.75] )= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 description=[q0,q1,q2] data=[[1.5,0.5,3.5],[5.5,5,8.5]]
Quantile per component( [0.75, 0.25] )= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 description=[q0,q1,q2] data=[[5.5,5,8.5],[1.5,0.5,3.5]]
Empirical CDF( class=Point name=Unnamed dimension=3 values=[0.25,0.25,0.25] = 0.0
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]]
Rank component 0= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0],[1.5],[3],[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]]
Sort (in place)= 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]]
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]]
Sort according to component 0 (in place)= 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 (in place)= 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]]
Unique (in place)= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=3 data=[[1,0,9],[2,2,9],[2,3,9]]
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