dot-quantileCorrelation: Compute the quantile-quantile correlation
In goncalves-lab/waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
.quantileCorrelation R Documentation
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/waddR documentation built on June 29, 2023, 12:18 a.m.
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| .quantileCorrelation | R Documentation |
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 |
Value
quantile-quantile correlation of x and y
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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