squared_wass_decomp: Compute the squared 2-Wasserstein distance based on a...

Description Usage Arguments Value References See Also Examples

View source: R/RcppExports.R

Description

Computes the squared 2-Wasserstein distance between two vectors based on a decomposition into location, size and shape terms. For a detailed description of the (empirical) calculation of the invoved quantities, see Schefzik et al. (2020).

Usage

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Arguments

x

sample (vector) representing the distribution of condition A

y

sample (vector) representing the distribution of condition B

Value

A list of 4:

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_approx for alternative implementations of the 2-Wasserstein distance

Examples

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

squared_wass_decomp(x,y1)
squared_wass_decomp(x,y2)
squared_wass_decomp(x,y3)

goncalves-lab/waddR documentation built on Oct. 28, 2021, 5:50 a.m.