This function is EXPERIMENTAL, and we cannot guarantee its properties for all data structures. Be sure to diagnose your design and assess the distribution of your variables.

## Arguments

- draw_handler
The unquoted name of a function to generate data. Currently,

`draw_binary`

,`draw_binomial`

, and`draw_count`

are supported.- ...
The arguments to draw_handler (e.g.

`prob`

,`mean`

, etc.)- given
A vector that can be ordered; the reference distribution X that Y will be correlated with.

- rho
A rank correlation coefficient between -1 and 1.

## Details

In order to generate a random variable of a specific distribution based on
another variable of any distribution and a correlation coefficient `rho`

,
we map the first, known variable into the standard normal space via affine
transformation, generate the conditional distribution of the resulting
variable as a standard normal, and then map that standard normal back to
the target distribution. The result should ensure, in expectation, a rank-order
correlation of `rho`

.

## Examples

```
# Generate a variable of interest
exam_score <- pmin(100, rnorm(n = 100, mean = 80, sd = 10))
# Generate a correlated variable using fabricatr variable generation
scholarship_offers <- correlate(given = exam_score, rho = 0.7,
draw_count, mean = 3)
# Generate a correlated variable using base R distributions
final_grade <- pmax(100, correlate(given = exam_score, rho = 0.7,
rnorm, mean = 80, sd = 10))
```