L1_norm: Aggregation of scores: L1 norm
In designit: Blocking and Randomization for Experimental Design
View source: R/score_aggregation.R
L1_norm R Documentation
Aggregation of scores: L1 norm
Description
This function enables comparison of the results of two scoring functions by calculating
an L1 norm (Manhattan distance from origin).
Usage
L1_norm(scores, ...)
Arguments
scores
A score or multiple component score vector
...
Parameters to be ignored by this aggregation function
Value
The L1 norm as an aggregated score.
Examples
L1_norm(c(2, 2))
designit documentation built on May 29, 2024, 12:04 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.
View source: R/score_aggregation.R
| L1_norm | R Documentation |
Aggregation of scores: L1 norm
Description
This function enables comparison of the results of two scoring functions by calculating an L1 norm (Manhattan distance from origin).
Usage
L1_norm(scores, ...)
Arguments
scores |
A score or multiple component score vector |
... |
Parameters to be ignored by this aggregation function |
Value
The L1 norm as an aggregated score.
Examples
L1_norm(c(2, 2))
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.