Normalizing Transformation Functions
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Documentation for package ‘bestNormalize’ version 1.9.1
Help Pages
| bestNormalize-package | bestNormalize: Flexibly calculate the best normalizing transformation for a vector |
| arcsinh_x | arcsinh(x) Transformation |
| autotrader | Prices of 6,283 cars listed on Autotrader |
| axe_env.step_best_normalize | Run bestNormalize transformation for 'recipes' implementation |
| axe_env.step_orderNorm | ORQ normalization (orderNorm) for 'recipes' implementation |
| bestLogConstant | Calculate and perform best normalizing log transformation (experimental) |
| bestNormalize | Calculate and perform best normalizing transformation |
| binarize | Binarize |
| boxcox | Box-Cox Normalization |
| center_scale | Identity transformation and center/scale transform |
| double_reverse_log | Double Reverse Log(x + a) Transformation |
| exp_x | exp(x) Transformation |
| lambert | Lambert W x F Normalization |
| log_x | Log(x + a) Transformation |
| no_transform | Identity transformation and center/scale transform |
| orderNorm | Calculate and perform Ordered Quantile normalizing transformation |
| plot.bestNormalize | Transformation plotting |
| plot.boxcox | Transformation plotting |
| plot.lambert | Transformation plotting |
| plot.orderNorm | Transformation plotting |
| plot.yeojohnson | Transformation plotting |
| predict.arcsinh_x | arcsinh(x) Transformation |
| predict.bestLogConstant | Calculate and perform best normalizing log transformation (experimental) |
| predict.bestNormalize | Calculate and perform best normalizing transformation |
| predict.binarize | Binarize |
| predict.boxcox | Box-Cox Normalization |
| predict.center_scale | Identity transformation and center/scale transform |
| predict.double_reverse_log | Double Reverse Log(x + a) Transformation |
| predict.exp_x | exp(x) Transformation |
| predict.lambert | Lambert W x F Normalization |
| predict.log_x | Log(x + a) Transformation |
| predict.no_transform | Identity transformation and center/scale transform |
| predict.orderNorm | Calculate and perform Ordered Quantile normalizing transformation |
| predict.sqrt_x | sqrt(x + a) Normalization |
| predict.yeojohnson | Yeo-Johnson Normalization |
| print.arcsinh_x | arcsinh(x) Transformation |
| print.bestLogConstant | Calculate and perform best normalizing log transformation (experimental) |
| print.bestNormalize | Calculate and perform best normalizing transformation |
| print.binarize | Binarize |
| print.boxcox | Box-Cox Normalization |
| print.center_scale | Identity transformation and center/scale transform |
| print.double_reverse_log | Double Reverse Log(x + a) Transformation |
| print.exp_x | exp(x) Transformation |
| print.lambert | Lambert W x F Normalization |
| print.log_x | Log(x + a) Transformation |
| print.no_transform | Identity transformation and center/scale transform |
| print.orderNorm | Calculate and perform Ordered Quantile normalizing transformation |
| print.sqrt_x | sqrt(x + a) Normalization |
| print.yeojohnson | Yeo-Johnson Normalization |
| sqrt_x | sqrt(x + a) Normalization |
| step_bestNormalize | Run bestNormalize transformation for 'recipes' implementation |
| step_bestNormalize_new | Run bestNormalize transformation for 'recipes' implementation |
| step_best_normalize | Run bestNormalize transformation for 'recipes' implementation |
| step_orderNorm | ORQ normalization (orderNorm) for 'recipes' implementation |
| tidy.bestNormalize | Calculate and perform best normalizing transformation |
| tidy.no_transform | Identity transformation and center/scale transform |
| tidy.step_best_normalize | Run bestNormalize transformation for 'recipes' implementation |
| tidy.step_orderNorm | ORQ normalization (orderNorm) for 'recipes' implementation |
| yeojohnson | Yeo-Johnson Normalization |
| _PACKAGE | bestNormalize: Flexibly calculate the best normalizing transformation for a vector |