emp.transf.vec: Transform a vector of samples into a vector of samples of the...
In multivariance: Measuring Multivariate Dependence Using Distance Multivariance
View source: R/multivariance-functions.R
Description
Transform a vector of samples into a vector of samples of the uniform distribution
such that, if applied to multiple (dependent) sample vectors, the dependence is preserved.
Usage
1
emp.transf.vec(x, unif.samples = stats::runif(length(x)))
Examples
1
2
# x = rnorm(100)
# plot(emp.transf.vec(x))
multivariance documentation built on Oct. 6, 2021, 5:08 p.m.
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View source: R/multivariance-functions.R
Description
Transform a vector of samples into a vector of samples of the uniform distribution such that, if applied to multiple (dependent) sample vectors, the dependence is preserved.
Usage
1 | emp.transf.vec(x, unif.samples = stats::runif(length(x)))
|
Examples
1 2 | # x = rnorm(100)
# plot(emp.transf.vec(x))
|
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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