Pearson Correlation Matrix |
> r0 Numeracy Geslacht Drugs Fruit Sport Numeracy 1.00000000 -0.03066497 -0.33681284 0.2350981 -0.10032511 Geslacht -0.03066497 1.00000000 0.00000000 0.0000000 0.11547005 Drugs -0.33681284 0.00000000 1.00000000 -0.4364358 0.12598816 Fruit 0.23509813 0.00000000 -0.43643578 1.0000000 -0.11547005 Sport -0.10032511 0.11547005 0.12598816 -0.1154701 1.00000000 Alcohol 0.23680612 -0.10482848 -0.48038446 0.3144855 0.06052275 Gebgewicht 0.27310579 0.21038067 -0.03443162 0.2366783 -0.09109750 Alcohol Gebgewicht Numeracy 0.23680612 0.27310579 Geslacht -0.10482848 0.21038067 Drugs -0.48038446 -0.03443162 Fruit 0.31448545 0.23667826 Sport 0.06052275 -0.09109750 Alcohol 1.00000000 -0.01102694 Gebgewicht -0.01102694 1.00000000 |
Partial Pearson Correlation Matrix (Shrinkage Method) |
> r1 Numeracy Geslacht Drugs Fruit Sport Alcohol Gebgewicht Numeracy 1 0 0 0 0 0 0 Geslacht 0 1 0 0 0 0 0 Drugs 0 0 1 0 0 0 0 Fruit 0 0 0 1 0 0 0 Sport 0 0 0 0 1 0 0 Alcohol 0 0 0 0 0 1 0 Gebgewicht 0 0 0 0 0 0 1 attr(,"lambda") [1] 1 attr(,"lambda.estimated") [1] TRUE attr(,"class") [1] "shrinkage" attr(,"spv") Numeracy Geslacht Drugs Fruit Sport Alcohol Gebgewicht 1 1 1 1 1 1 1 |