rr

Robust re-scaling transformation.

View the Project on GitHub gjhunt/rr

rr: (R)obust (R)e-scaling to help reveal latent structure.

The Robust re-scaling transformation (RR) is a transformation the help reveal latent structure in data. It uses three steps to transform the data:

  1. Gaussianize the data,
  2. z-score Transform the data,
  3. remove extreme outliers from the data.

The sequence of these transformations helps focus analyses on consequential variance in the data rather than having it be focused on variation resulting from the feature’s measurement scale or outliers.

Software

Vignettes

Papers

1. “Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data” JCGS (2020)