Function reference • fabricatr

All functions
`correlate()`	Perform generation of a correlated random variable.
`cross_levels()` `link_levels()`	Creates panel or cross-classified data
`draw_binary_icc()`	Draw binary data with fixed intra-cluster correlation.
`draw_binomial()` `draw_categorical()` `draw_ordered()` `draw_count()` `draw_binary()` `draw_likert()` `draw_quantile()`	Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
`draw_multivariate()`	Draw multivariate random variables
`draw_normal_icc()`	Draw normal data with fixed intra-cluster correlation.
`fabricate()` `add_level()` `modify_level()` `nest_level()`	Fabricate data
`fabricatr`	fabricatr package
`join()`	Helper function handling specification of which variables to join a cross-classified data on, and what kind of correlation structure needed. Correlation structures can only be provided if the underlying call is a `link_levels()` call.
`potential_outcomes()`	Build potential outcomes variables
`recycle()`	Expands data to a given length through recycling.
`resample_data()`	Resample data, including hierarchical data
`reveal_outcomes()`	Reveal outcomes
`split_quantile()`	Split data into quantile buckets (e.g. terciles, quartiles, quantiles, deciles).

Reference