pairwise_distance_correlation: Compute pairwise distance correlation metrics of each column...
In MESS: Miscellaneous Esoteric Statistical Scripts
pairwise_distance_correlation R Documentation
Compute pairwise distance correlation metrics of each column to a vector
Description
Fast computation of pairwise distance correlations.
Usage
pairwise_distance_correlation(x, y)
Arguments
x
A matrix. The number of rows should match the length of the vector y
y
A vector
Details
Note: To get the same result as from the energy package you need to take the square root of the results here.
Value
A vector with the same length as the number of columns in x. Each element contains the pairwise distance correlation to y.
Author(s)
Claus Ekstrom <claus@rprimer.dk>
Examples
y <- rnorm(100)
x <- matrix(rnorm(100 * 10), ncol = 10)
pairwise_distance_correlation(x, y)
MESS documentation built on Sept. 13, 2025, 9:09 a.m.
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| pairwise_distance_correlation | R Documentation |
Compute pairwise distance correlation metrics of each column to a vector
Description
Fast computation of pairwise distance correlations.
Usage
pairwise_distance_correlation(x, y)
Arguments
x |
A matrix. The number of rows should match the length of the vector y |
y |
A vector |
Details
Note: To get the same result as from the energy package you need to take the square root of the results here.
Value
A vector with the same length as the number of columns in x. Each element contains the pairwise distance correlation to y.
Author(s)
Claus Ekstrom <claus@rprimer.dk>
Examples
y <- rnorm(100)
x <- matrix(rnorm(100 * 10), ncol = 10)
pairwise_distance_correlation(x, y)
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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