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 |