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.
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
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)
#> # A tibble: 1 × 3
#> X1 X2 X3
#> <dbl> <dbl> <dbl>
#> 1 6.01 50.0 5.00
cor(df)
#> X1 X2 X3
#> X1 1.000000000 0.3026515 0.004851063
#> X2 0.302651488 1.0000000 0.900604867
#> X3 0.004851063 0.9006049 1.000000000
# }