R: Normalizing Transformation Functions

# Normalizing Transformation Functions

## Documentation for package ‘bestNormalize’ version 1.9.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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