R: Robust Re-Scaling to Better Recover Latent Effects in Data

# Robust Re-Scaling to Better Recover Latent Effects in Data

## Documentation for package ‘rrscale’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

asinh | Arc-hyperbolic-sine transformation
box_cox | Traditional box-cox power transformation. Accepts one real parameter
box_cox_exp | Exponential of the tranditional box-cox transformation
box_cox_negative | A generalized box-cox transformation that can handle negative data
box_cox_plus1 | Box-cox transformation with a shift of 1 added to the data
box_cox_plusmin | Box-cox transformation with the data shifted so that it is positive
box_cox_shift | Box-cox transformation of shifted variable
center | Centers the data column-wise
gm_mean | Calculate the geometric mean
list_transformations | List possible transformations
log_box_cox | Log of the traditional box-cox transformation
power | Simple power transformation
rrscale | Re-scale a data matrix
svdc | The completed SVD
winsor | Winsorizes the data