sim_phewas_results: Simulate PheWAS results
In tbilab/meToolkit: Build and Customize Phewas Multimorbidity Explorer Apps.

Description Usage Arguments Value Examples

Produces a dataframe that can be used for testing out functions in package on simulated data. Usually paired with meToolkit::sim_individual_data(). Note that the results from this are a very rough simulation and should not be used for any legitimate simulation studies.

1	sim_phewas_results(n_codes, n_categories, avg_OR = 1.3)

`n_codes`	How many phecodes should be simulated for the results?
`n_categories`	How many categories should the phecodes be grouped into? Can't be more than 26.
`avg_OR`	The rough average of the odds ratio for the each code.

A dataframe with columns: code: a unique phecode id (numbers of the form x.00), p_val: P-value drawn from a beta distribution peaked near zero, OR: An odds ratio for the code's test results, category: A simulated category (just a letter currently) that fills in order with last group category having less codes in it if there is not an even division of codes to categories. tooltip: Simple two line html tooltip of the code name and simulated p-value.