R: Imagine Your Data Before You Collect It

# Imagine Your Data Before You Collect It

## Documentation for package ‘fabricatr’ version 1.0.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

fabricatr-package | fabricatr package
add_level | Fabricate data
correlate | Perform generation of a correlated random variable.
cross_levels | Creates panel or cross-classified data
draw_binary | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
draw_binary_icc | Draw binary data with fixed intra-cluster correlation.
draw_binomial | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
draw_categorical | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
draw_count | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
draw_discrete | 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.
draw_ordered | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
draw_quantile | Draw discrete variables including binary, binomial count, poisson count, ordered, and categorical
fabricate | Fabricate data
fabricatr | 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.
link_levels | Creates panel or cross-classified data
modify_level | Fabricate data
nest_level | Fabricate data
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).