dist_one_many | R Documentation |
This functions computes the distance/dissimilarity between one probability density functions and a set of probability density functions.
dist_one_many( P, dists, method, p = NA_real_, testNA = TRUE, unit = "log", epsilon = 1e-05 )
P |
a numeric vector storing the first distribution. |
dists |
a numeric matrix storing distributions in its rows. |
method |
a character string indicating whether the distance measure that should be computed. |
p |
power of the Minkowski distance. |
testNA |
a logical value indicating whether or not distributions shall be checked for |
unit |
type of
|
epsilon |
epsilon a small value to address cases in the distance computation where division by zero occurs. In
these cases, x / 0 or 0 / 0 will be replaced by |
A vector of distance values
set.seed(2020-08-20) P <- 1:10 / sum(1:10) M <- t(replicate(100, sample(1:10, size = 10) / 55)) dist_one_many(P, M, method = "euclidean", testNA = FALSE)
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