dot-quantileCorrelation: .quantileCorrelation
In waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Description
Usage
Arguments
Value
Description
Computes the quantile-quantile correlation of x and y, using the quantile
type 1 implementation in R and Pearson correlation.
Usage
1
.quantileCorrelation(x, y, pr = NULL)
Arguments
x
numeric vector representing distribution x
y
numeric vector representing distribution y
pr
probabilities for computing the quantiles of x and y.
By default is set to 1000 equidistant quantiles starting at q_1 = 0.5/1000.
Value
quantile-quantile correlation of x and y
waddR documentation built on Nov. 8, 2020, 8:32 p.m.
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Description Usage Arguments Value
Description
Computes the quantile-quantile correlation of x and y, using the quantile type 1 implementation in R and Pearson correlation.
Usage
1 | .quantileCorrelation(x, y, pr = NULL)
|
Arguments
x |
numeric vector representing distribution x |
y |
numeric vector representing distribution y |
pr |
probabilities for computing the quantiles of x and y. By default is set to 1000 equidistant quantiles starting at q_1 = 0.5/1000. |
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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