CalcPsiDWS: The Psi DWS Statistic
In EricMcKinney77/distdiffR: Two-Sample Tests of Distributional Equality for Bivariate Data
CalcPsiDWS R Documentation
The Psi DWS Statistic
Description
This statistic computes the double weighted squared (DWS) differences between
the empirical cumulative distribution functions for the two samples. For more
information, see \insertCitemckinney2022extensions;textualdistdiffR and
\insertCitemckinney2021extensions;textualdistdiffR.
Usage
CalcPsiDWS(data, subjects)
Arguments
data
A two column matrix of the bivariate pooled samples
subjects
A numerical vector of sample labels (use either 1 or 2)
Value
The Psi DWS statistic
References
\insertRefmckinney2022extensionsdistdiffR
\insertRefmckinney2021extensionsdistdiffR
Examples
data(iris)
pooled_data <- iris[iris$Species %in% c("setosa", "virginica"), 1:2]
sample_labels <- rep(1:2, c(sum(iris$Species == "setosa"),
sum(iris$Species == "virginica")))
CalcPsiDWS(as.matrix(pooled_data), sample_labels)
EricMcKinney77/distdiffR documentation built on April 24, 2022, 9:03 p.m.
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| CalcPsiDWS | R Documentation |
The Psi DWS Statistic
Description
This statistic computes the double weighted squared (DWS) differences between the empirical cumulative distribution functions for the two samples. For more information, see \insertCitemckinney2022extensions;textualdistdiffR and \insertCitemckinney2021extensions;textualdistdiffR.
Usage
CalcPsiDWS(data, subjects)
Arguments
data |
A two column matrix of the bivariate pooled samples |
subjects |
A numerical vector of sample labels (use either 1 or 2) |
Value
The Psi DWS statistic
References
\insertRefmckinney2022extensionsdistdiffR
\insertRefmckinney2021extensionsdistdiffR
Examples
data(iris)
pooled_data <- iris[iris$Species %in% c("setosa", "virginica"), 1:2]
sample_labels <- rep(1:2, c(sum(iris$Species == "setosa"),
sum(iris$Species == "virginica")))
CalcPsiDWS(as.matrix(pooled_data), sample_labels)
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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