yjScale: Apply Yeo-Johnson transformation to data frame or matrix
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Examples
Description
This will apply the bestNormalize package's yeo-johnson transform function to the numeric
columns of a data frame. It leaves factor variables alone. The returned numeric variables are also centered
to zero and unit scaled.
Usage
1
Arguments
data
a data frame or vector
Value
A data frame
Examples
1
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
This will apply the bestNormalize package's yeo-johnson transform function to the numeric columns of a data frame. It leaves factor variables alone. The returned numeric variables are also centered to zero and unit scaled.
Usage
1 |
Arguments
data |
a data frame or vector |
Value
A data frame
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.