A helper function to set variables that the record is dependent on.

The other options give are characteristics of the record (not the independent variables). Warning: none of the other options work at the moment!

Usage

with_variables(
  ...,
  .missing = FALSE,
  .interaction = random_true_false(),
  .discrete = FALSE,
  .linear = random_true_false(),
  .error_dist = NULL
)

Arguments

...

A series of factors in which the record is explicitly dependent upon (tidyselect campatible).

.missing

A logical value indicating whether there should be some missing values. Default is FALSE. The missing values are introduced at random. It can also be numeric of between 0 and 1 giving the proportion of missing values.

.interaction

Whether there should be treatment interaction effects.

.discrete

Whether to make the response value discrete or not.

.linear

Whether to include non-linear term or not. The value is always additive.

.error_dist

The random distribution to use for numerical values (either "normal", "uniform", "exponential", "gamma", "beta", "cauchy", "chisq", "f", "t", "poisson", "weibull"). The default choice is random out of these with higher chances of "normal".

See also

autofill_rcrds()