L2s_norm: Aggregation of scores: L2 norm squared
In designit: Blocking and Randomization for Experimental Design
View source: R/score_aggregation.R
L2s_norm R Documentation
Aggregation of scores: L2 norm squared
Description
This function enables comparison of the results of two scoring functions by calculating
an L2 norm (euclidean distance from origin). Since this is only used for ranking solutions,
the squared L2 norm is returned.
Usage
L2s_norm(scores, ...)
Arguments
scores
A score or multiple component score vector
...
Parameters to be ignored by this aggregation function
Value
The squared L2 norm as an aggregated score.
Examples
L2s_norm(c(2, 2))
designit documentation built on May 29, 2024, 12:04 p.m.
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View source: R/score_aggregation.R
| L2s_norm | R Documentation |
Aggregation of scores: L2 norm squared
Description
This function enables comparison of the results of two scoring functions by calculating an L2 norm (euclidean distance from origin). Since this is only used for ranking solutions, the squared L2 norm is returned.
Usage
L2s_norm(scores, ...)
Arguments
scores |
A score or multiple component score vector |
... |
Parameters to be ignored by this aggregation function |
Value
The squared L2 norm as an aggregated score.
Examples
L2s_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.
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