Simulate X variables

Simulates independent variables.

Usage

make_x_bivariate(n = 5, mu = 1, cor = 0.25, var = c(1, 1))

make_x_uniform(n = 5, var = 1)

make_x_normal(n = 5, mu = 0, var = 1)

make_x(
  n = 5,
  mu = 0,
  var = 1,
  cor = 0,
  method = c("uniform", "normal", "bivnormal")
)

Arguments

n

the number of values to simulate.

mu

the sample average.

cor

correlation between bivariate normal

var

the sample variance. The sqrt(var) is passed to rnorm() and rlnorm() for normal and laplace distributions. sqrt(var / 2) is used for laplace() .

method

must be one of "uniform" (default), "normal", or "bivnormal" (bivariate normal).

Value

A data.frame of the simulated independent variables.

Examples

make_x(10, mu = c(0.5, 1.2), var = c(1, 0.5)) 
#>          x_1       x_2
#> 1  1.9959718 0.4221742
#> 2  0.7548479 1.6919259
#> 3  0.4359789 1.6539163
#> 4  3.2498562 2.3179395
#> 5  2.7756985 0.4806377
#> 6  2.6259748 2.3726676
#> 7  1.8448598 0.9481884
#> 8  1.8941873 1.5930107
#> 9  0.3322992 1.9953450
#> 10 1.3452830 0.1738275