Box-Cox Normality Plot | |
# observations x | 10 |
maximum correlation | 0.981668841261037 |
optimal lambda | -0.5 |
transformation formula | for all lambda <> 0 : T(Y) = (Y^lambda - 1) / lambda |
Obs. | Original | Transformed |
1 | 202485 | 1.99555539093736 |
2 | 231302.13 | 1.9958414667372 |
3 | 227730.77 | 1.99580898574151 |
4 | 40384.62 | 1.99004773353814 |
5 | 1456659.16 | 1.99834289120019 |
6 | 33035.47 | 1.98899627442939 |
7 | 53823.15 | 1.99137924227414 |
8 | 58371.02 | 1.99172188692317 |
9 | 64177.03 | 1.99210521716409 |
10 | 22558.09 | 1.98668384526218 |
Maximum Likelihood Estimation of Lambda |
> summary(mypT) bcPower Transformation to Normality Est Power Rounded Pwr Wald Lwr Bnd Wald Upr Bnd x -0.382 0 -0.9516 0.1876 Likelihood ratio test that transformation parameter is equal to 0 (log transformation) LRT df pval LR test, lambda = (0) 1.935387 1 0.16417 Likelihood ratio test that no transformation is needed LRT df pval LR test, lambda = (1) 26.94696 1 2.0912e-07 |