Variables2Shapes: A Random distributions Function
In MSeidelFed/RandodiStats_package: Random distributions and their univariate and multivariate statistics
View source: R/Variables2Shapes.R
Variables2Shapes R Documentation
A Random distributions Function
Description
This function allows you to infer the distribution shapes of response variables as a two column matrix with the kurtosis and square of skeweness.
Usage
Variables2Shapes(
Distribution_test_mat = RandoDiStats::distribution_test_mat(class_method =
"discovery")
)
Arguments
Distribution_test_mat
Defaults to a matrix built with distribution_test_mat().
Examples
test_mat_distribution_shapes <- Variables2Shapes()
MSeidelFed/RandodiStats_package documentation built on July 31, 2022, 3 a.m.
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View source: R/Variables2Shapes.R
| Variables2Shapes | R Documentation |
A Random distributions Function
Description
This function allows you to infer the distribution shapes of response variables as a two column matrix with the kurtosis and square of skeweness.
Usage
Variables2Shapes(
Distribution_test_mat = RandoDiStats::distribution_test_mat(class_method =
"discovery")
)
Arguments
Distribution_test_mat |
Defaults to a matrix built with distribution_test_mat(). |
Examples
test_mat_distribution_shapes <- Variables2Shapes()
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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