n_dist2max: Normalise as distance to maximum value
In COINr: Composite Indicator Construction and Analysis
n_dist2max R Documentation
Normalise as distance to maximum value
Description
A measure of the distance to the maximum value, where the maximum value is the highest-scoring value. The
formula used is:
Usage
n_dist2max(x)
Arguments
x
A numeric vector
Details
1 - (x_{max} - x)/(x_{max} - x_{min})
This means that the closer a value is to the maximum, the higher its score will be. Scores will be in the
range of 0 to 1.
Value
Numeric vector
Examples
x <- runif(20)
n_dist2max(x)
COINr documentation built on Oct. 9, 2023, 5:07 p.m.
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| n_dist2max | R Documentation |
Normalise as distance to maximum value
Description
A measure of the distance to the maximum value, where the maximum value is the highest-scoring value. The formula used is:
Usage
n_dist2max(x)
Arguments
x |
A numeric vector |
Details
1 - (x_{max} - x)/(x_{max} - x_{min})
This means that the closer a value is to the maximum, the higher its score will be. Scores will be in the range of 0 to 1.
Value
Numeric vector
Examples
x <- runif(20)
n_dist2max(x)
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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