dot-compute_gar_core: Internal function to compute Anti-Robinson or GAR/ RGAR score
In GAPR: Generalized Association Plots
.compute_gar_core R Documentation
Internal function to compute Anti-Robinson or GAR/ RGAR score
Description
This function is not exported. It serves as the core computational engine
for evaluating Anti-Robinson (AR), Generalized Anti-Robinson (GAR), and
Relative GAR (RGAR) scores.
Usage
.compute_gar_core(mat_sorted, w = NULL, normalize = FALSE)
Arguments
mat_sorted
A numeric, symmetric sorted distance matrix.
w
An integer window size (if NULL, evaluates all triplets globally).
normalize
Logical. If TRUE, returns a proportion; otherwise returns the raw count.
Value
A numeric value indicating the number (or proportion) of Anti-Robinson violations.
GAPR documentation built on June 8, 2025, 1:50 p.m.
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| .compute_gar_core | R Documentation |
Internal function to compute Anti-Robinson or GAR/ RGAR score
Description
This function is not exported. It serves as the core computational engine for evaluating Anti-Robinson (AR), Generalized Anti-Robinson (GAR), and Relative GAR (RGAR) scores.
Usage
.compute_gar_core(mat_sorted, w = NULL, normalize = FALSE)
Arguments
mat_sorted |
A numeric, symmetric sorted distance matrix. |
w |
An integer window size (if NULL, evaluates all triplets globally). |
normalize |
Logical. If TRUE, returns a proportion; otherwise returns the raw count. |
Value
A numeric value indicating the number (or proportion) of Anti-Robinson violations.
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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