get_corvars: Generate normal, correlated variables

In metan: Multi Environment Trials Analysis

Generate normal, correlated variables

Description

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

Usage

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 [e-mail]

Examples

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)
mean_by(df)
cor(df)

metan documentation built on March 7, 2023, 5:34 p.m.