View source: R/wassertsein_permut.R
wasserstein_permut | R Documentation |
Permutation test based on Wasserstein distance
wasserstein_permut( x, y, iterations = 10^4, fast = nrow(x) + nrow(y) > 10^3, S = NULL, ... )
x |
Samples from the first distribution |
y |
Samples from the second distribution. Only used if x is a vector. |
iterations |
How many iterations to do to simulate the null distribution. Default to 10^4. |
fast |
If true, uses the subwasserstein approximate function. Default to true if there are more than 1,000 samples total. |
S |
Number of samples to use in approximate mode. Must be set if |
... |
Other parameters passed to wasserstein or wasserstein1d |
A list containing the following components:
statistic the Wasserstein distance between x and y.
p.value the p-value of the permutation test.
x <- matrix(c(runif(100, 0, 1), runif(100, -1, 1)), ncol = 2) y <- matrix(c(runif(100, 0, 3), runif(100, -1, 1)), ncol = 2) # Set iterations to small number for runtime # Increase for more accurate results wasserstein_permut(x, y, iterations = 10^2)
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