squared_wass_approx {waddR} | R Documentation |
Approximation of the squared wasserstein distance. Calculation based on the mean squared difference between the equidistant empirical quantiles of the two input vectors a and b. As an approximation of the quantile function, 1000 quantiles are computed for each vector.
squared_wass_approx(x, y)
x |
Vector representing an empirical distribution under condition A |
y |
Vector representing an empirical distribution under condition B |
The approximated squared wasserstein distance between x and y
Schefzik and Goncalves 2019
[wasserstein_metric()], [squared_wass_decomp()] for different implementations of the wasserstein distance
# input: one dimensional data in two conditions x <- rnorm(100, 42, 2) y <- c(rnorm(61, 20, 1), rnorm(41, 40,2)) # output: The squared Wasserstein distance approximated as described in # Schefzik and Goncalves 2019 d.wass.approx <- squared_wass_approx(x,y)