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.
correlate(draw_handler, ..., given, rho)
The unquoted name of a function to generate data.
draw_count are supported.
The arguments to draw_handler (e.g.
A vector that can be ordered; the reference distribution X that Y will be correlated with.
A rank correlation coefficient between -1 and 1.
In order to generate a random variable of a specific distribution based on
another variable of any distribution and a correlation coefficient
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
# 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))