squared_wass_approx: Compute approximated squared 2-Wasserstein distance

In goncalves-lab/diffexpR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance

Compute approximated squared 2-Wasserstein distance

Description

Calculates an approximated squared 2-Wasserstein distance based on the mean squared difference between 1000 equidistant quantiles corresponding to the empirical distributions of two input vectors x and y

Usage

squared_wass_approx(x, y)

Arguments

x	sample (vector) representing the distribution of condition A
y	sample (vector) representing the distribution of condition B

Value

The approximated squared 2-Wasserstein distance between x and y

References

Schefzik, R., Flesch, J., and Goncalves, A. (2020). waddR: Using the 2-Wasserstein distance to identify differences between distributions in two-sample testing, with application to single-cell RNA-sequencing data.

See Also

See the functions wasserstein_metric and squared_wass_decomp for alternative implementations of the 2-Wasserstein distance

Examples

set.seed(24)
x<-rnorm(100)
y1<-rnorm(150)
y2<-rexp(150,3)
y3<-rpois(150,2)

squared_wass_approx(x,y1)
squared_wass_approx(x,y2)
squared_wass_approx(x,y3)

goncalves-lab/diffexpR documentation built on June 5, 2023, 10:18 p.m.