## All functions

arcsinh_x() predict(<arcsinh_x>) print(<arcsinh_x>)

arcsinh(x) Transformation

autotrader

Prices of 6,283 cars listed on Autotrader

bestNormalize-package _PACKAGE

bestNormalize: Flexibly calculate the best normalizing transformation for a vector

bestNormalize() predict(<bestNormalize>) print(<bestNormalize>) tidy(<bestNormalize>)

Calculate and perform best normalizing transformation

binarize() predict(<binarize>) print(<binarize>)

Binarize

boxcox() predict(<boxcox>) print(<boxcox>)

Box-Cox Normalization

double_reverse_log() predict(<double_reverse_log>) print(<double_reverse_log>)

Double Reverse Log(x + a) Transformation

exp_x() predict(<exp_x>) print(<exp_x>)

exp(x) Transformation

lambert() predict(<lambert>) print(<lambert>)

Lambert W x F Normalization

log_x() predict(<log_x>) print(<log_x>)

Log(x + a) Transformation

no_transform() predict(<no_transform>) print(<no_transform>) center_scale() predict(<center_scale>) print(<center_scale>) tidy(<no_transform>)

Identity transformation and center/scale transform

orderNorm() predict(<orderNorm>) print(<orderNorm>)

Calculate and perform Ordered Quantile normalizing transformation

plot(<bestNormalize>) plot(<orderNorm>) plot(<boxcox>) plot(<yeojohnson>) plot(<lambert>)

Transformation plotting

sqrt_x() predict(<sqrt_x>) print(<sqrt_x>)

sqrt(x + a) Normalization

step_best_normalize() tidy(<step_best_normalize>) axe_env(<step_best_normalize>)

Run bestNormalize transformation for recipes implementation

step_orderNorm() tidy(<step_orderNorm>) axe_env(<step_orderNorm>)

ORQ normalization (orderNorm) for recipes implementation

yeojohnson() predict(<yeojohnson>) print(<yeojohnson>)

Yeo-Johnson Normalization