# get_corvars: Generate normal, correlated variables In metan: Multi Environment Trials Analysis

## Description

Given the mean and desired correlations, generate normal, correlated variables.

## Usage

 1 get_corvars(n = 10, mu, sigma, tol = 1e-06, seed = NULL) 

## Arguments

 n The number of samples required. mu A vector with the means for the variables. sigma A symmetric, positive-definite matrix with the (co)variance or correlation matrix of the variables. tol Tolerance (relative to largest variance) for numerical lack of positive-definiteness in sigma. seed An integer value interpreted as seed.

## Value

A tibble containing the simulated data.

## Author(s)

Tiago Olivoto tiagoolivoto@gmail.com

## Examples

 1 2 3 4 5 6 7 8 sigma <- matrix(c(1, .3, 0, .3, 1, .9, 0, .9, 1),3,3) mu <- c(6,50,5) df <- get_corvars(n = 10000, mu = mu, sigma = sigma, seed = 101010) means_by(df) cor(df) 

metan documentation built on Nov. 10, 2021, 9:11 a.m.