simulate_nonnormal: A monte Carlo method for generating nonnormal
In taotliu/TriCTree: Implementation of Regression-Based Trichotomous Classification Tree Analysis
Description
Usage
Arguments
Author(s)
Examples
View source: R/simulate_nonnormal.R
Description
This function generates nonnormal variables as training and testing dataset
Usage
1
2
simulate_nonnormal(p = 0.5, skewvec = rep(3.5, 20), kurtvec = rep(20,
20))
Arguments
p
correlation between each two variables
skewvec
A vector of indicator skewness values
kurtvec
A vector of indicator kurtosis values
Author(s)
Yan Sun, Yanke Zhu, Tao Liu
Examples
1
simulate_nonnormal(p=0.5, skewvec=rep(3.5,20), kurtvec=rep(20,20))
taotliu/TriCTree documentation built on July 5, 2020, 12:04 p.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.
Description Usage Arguments Author(s) Examples
View source: R/simulate_nonnormal.R
Description
This function generates nonnormal variables as training and testing dataset
Usage
1 2 | simulate_nonnormal(p = 0.5, skewvec = rep(3.5, 20), kurtvec = rep(20,
20))
|
Arguments
p |
correlation between each two variables |
skewvec |
A vector of indicator skewness values |
kurtvec |
A vector of indicator kurtosis values |
Author(s)
Yan Sun, Yanke Zhu, Tao Liu
Examples
1 | simulate_nonnormal(p=0.5, skewvec=rep(3.5,20), kurtvec=rep(20,20))
|
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.