clean_data: Prepare our administrative data for analysis

In socialrisk: Identifying Patient Social Risk from Administrative Health Care Data

Prepare our administrative data for analysis

Description

clean_data returns a dataset which has been transformed and cleaned for subsequent functions in this package.

Usage

clean_data(dat = NULL, style = "long", id = NULL, prefix_dx = "dx")

Arguments

dat	dataset
style	long, the default, is one diagnosis column per row whereas wide is multiple diagnosis columns
id	unique patient identifier variable name
prefix_dx	the variable prefix for the diagnosis columns (defaults to "dx"), in quotes

Details

This function takes our raw administrative data, in a number of different forms, and prepares it in a way which allows the other functions in this package to easily work with it. It is recommended to run this package on all data regardless of setup.

Value

dataframe with multiple rows per patient, which has re-structured their administrative data

Examples

clean_data(dat = i10_wide, id = patient_id, style = "wide", prefix_dx = "dx")

socialrisk documentation built on Feb. 16, 2023, 8:03 p.m.