dot-quantileCorrelation: Compute the quantile-quantile correlation

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

Compute the quantile-quantile correlation

Description

Computes the quantile-quantile correlation of two samples x and y, using the quantile type 1 implementation in R and the Pearson correlation.

Usage

.quantileCorrelation(x, y, pr = NULL)

Arguments

x	numeric vector
y	numeric vector
pr	levels at which the quantiles of x and y are computed; by default, 1000 equidistant quantiles at levels \frac{k-0.5}{1000}, where k=1,\ldots,1000, are used

Value

quantile-quantile correlation of x and y

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