transform_dist: Rank based transform distances to triangular distribution
In nlhuong/buds: Bayesian Unidimensional Scaling (BUDS)
Description
Usage
Arguments
Value
Description
Transforms the dissimularities to follow a triangular
distribution on [0, 1] interval to better match distances
on scalar coordinates that are approximately uniformly
distributed.
Usage
1
transform_dist(D, threshold = FALSE, increment = NULL)
Arguments
D
A dissimilarity matrix.
threshold
A boolean whether threshold ranking should be used.
increment
A numeric scalar for increments for distance ranking.
Value
A transformed dissimilarity matrix, D.
nlhuong/buds documentation built on May 17, 2019, 3:13 a.m.
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Description Usage Arguments Value
Description
Transforms the dissimularities to follow a triangular distribution on [0, 1] interval to better match distances on scalar coordinates that are approximately uniformly distributed.
Usage
1 | transform_dist(D, threshold = FALSE, increment = NULL)
|
Arguments
D |
A dissimilarity matrix. |
threshold |
A boolean whether threshold ranking should be used. |
increment |
A numeric scalar for increments for distance ranking. |
Value
A transformed dissimilarity matrix, D.
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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