Package index • 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_quantile(): Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical

draw_likert(): Recode a latent variable into a Likert response variable

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: fabricatr package

join_using(): 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).