normal.etest: Energy based normality test
In Rfast2: A Collection of Efficient and Extremely Fast R Functions II
Energy based normality test R Documentation
Energy based normality test
Description
Energy based normality test.
Usage
normal.etest(x, R = 999)
Arguments
x
A numerical vector.
R
The number of Monte Carlo samples to generate.
Details
The energy based normality test is performed where the p-value is computed via parametric bootstrap.
The function is faster than the original implementation in the R package "energy".
Value
A vector with two values, the test statistic value and the Monte Carlo (parametric bootstrap) based p-value.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>.
References
Szekely G. J. and Rizzo M.L. (2005) A New Test for Multivariate Normality.
Journal of Multivariate Analysis, 93(1): 58–80.
See Also
jbtest
Examples
x <- rnorm(100)
normal.etest(x)
Rfast2 documentation built on May 29, 2024, 8:45 a.m.
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.
| Energy based normality test | R Documentation |
Energy based normality test
Description
Energy based normality test.
Usage
normal.etest(x, R = 999)
Arguments
x |
A numerical vector. |
R |
The number of Monte Carlo samples to generate. |
Details
The energy based normality test is performed where the p-value is computed via parametric bootstrap. The function is faster than the original implementation in the R package "energy".
Value
A vector with two values, the test statistic value and the Monte Carlo (parametric bootstrap) based p-value.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>.
References
Szekely G. J. and Rizzo M.L. (2005) A New Test for Multivariate Normality. Journal of Multivariate Analysis, 93(1): 58–80.
See Also
jbtest
Examples
x <- rnorm(100)
normal.etest(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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.