u_scale: Rank uniformization
In posterior: Tools for Working with Posterior Distributions
u_scale R Documentation
Rank uniformization
Description
Compute rank uniformization 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, uniformize ranks using formula
(r - c) / (S - 2 * c + 1), where r is a rank, S is the number of
values, and c is a fractional offset which defaults to c = 3/8 as
recommend by Blom (1958).
Usage
u_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 uniformized values with the same size
and dimension as the input.
posterior documentation built on April 4, 2025, 4:44 a.m.
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| u_scale | R Documentation |
Rank uniformization
Description
Compute rank uniformization 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, uniformize ranks using formula
(r - c) / (S - 2 * c + 1), where r is a rank, S is the number of
values, and c is a fractional offset which defaults to c = 3/8 as
recommend by Blom (1958).
Usage
u_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 uniformized 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.
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