add.data: Augment Data Variables

In pranavdorbala/proteomicsHF: ARIC Proteomics of Heart Failure -- Biomarker Discovery Pipeline

Description

This function serves to add variables to the master tibble dataframe. Variables are joined in on the id column.

Usage

add.data(new.path, old.data, scaled = F, mods, filts = NULL)

Arguments

new.path	Path to Stata .dta file containing new variables
old.data	Tibble of old study data to merge with
scaled	Boolean indicating whether new data should be scaled
mods	List of paths to formatted csv files creating new adjustment variables. Format of csv is detailed below. This parameter is required. See get.adjust() for formatting.
filts	List of path (singular) to formatted csv of the data filters to be applied to the dataset. See get.adjust() for formatting.

Details

See get.adjust() for csv formatting details.

Value

Tibble with new variables joined in.

Examples

## Not run: 
fifth.visit.adtl <- add.data(new.path = 'data/ARIC_proteomics_addlvar_01062021.dta',
                             old.data = haven::read_dta('data/ARICmaster_121820.dta'),
                             mods = list('data/visit-five/adtlvars.csv'))

## End(Not run)

pranavdorbala/proteomicsHF documentation built on March 9, 2021, 12:22 a.m.