simulate_normal: A function for generating variables with normal distribution
In taotliu/TriCTree: Implementation of Regression-Based Trichotomous Classification Tree Analysis
Description
Usage
Arguments
Author(s)
Examples
View source: R/simulate_normal.R
Description
This function generates normal distributed variables
Usage
1
simulate_normal(p = 0.8, mean = rep(0, 20), n = 40)
Arguments
p
Correlation between two variables
mean
A vector indicating the mean value of classification 0
n
Number of datasets to generate, with 20 observations in each dataset
Author(s)
Yan Sun, Yanke Zhu, Tao Liu
Examples
1
dataxx = simulate_normal(p = 0.8, mean = rep(0, 20), n = 40)
taotliu/TriCTree documentation built on July 5, 2020, 12:04 p.m.
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Description Usage Arguments Author(s) Examples
View source: R/simulate_normal.R
Description
This function generates normal distributed variables
Usage
1 | simulate_normal(p = 0.8, mean = rep(0, 20), n = 40)
|
Arguments
p |
Correlation between two variables |
mean |
A vector indicating the mean value of classification 0 |
n |
Number of datasets to generate, with 20 observations in each dataset |
Author(s)
Yan Sun, Yanke Zhu, Tao Liu
Examples
1 | dataxx = simulate_normal(p = 0.8, mean = rep(0, 20), n = 40)
|
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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