z_scale: Rank normalization
In posterior: Tools for Working with Posterior Distributions
z_scale R Documentation
Rank normalization
Description
Compute rank normalization for a numeric array. First replace each
value by its rank. Average rank for ties are used to conserve the
number of unique values of discrete quantities. Second, normalize
ranks via the inverse normal transformation.
Usage
z_scale(x, c = 3/8)
Arguments
x
(numeric) A scalar, vector, matrix, or array of values.
c
(numeric) Fractional offset used in the back-transformation of ranks.
Defaults to 3/8.
Value
A numeric array of rank normalized values with the same size
and dimension as the input.
posterior documentation built on April 4, 2025, 4:44 a.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.
| z_scale | R Documentation |
Rank normalization
Description
Compute rank normalization for a numeric array. First replace each value by its rank. Average rank for ties are used to conserve the number of unique values of discrete quantities. Second, normalize ranks via the inverse normal transformation.
Usage
z_scale(x, c = 3/8)
Arguments
x |
(numeric) A scalar, vector, matrix, or array of values. |
c |
(numeric) Fractional offset used in the back-transformation of ranks.
Defaults to |
Value
A numeric array of rank normalized values with the same size and dimension as the input.
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.