util_ds1_eval_env: Create an environment with several alias names for the study...

In dataquieR: Data Quality in Epidemiological Research

Create an environment with several alias names for the study data variables

Description

generates an environment similar to as.environment(ds1), but makes variables available by their VAR_NAME, LABEL, and label_col - names.

Usage

util_ds1_eval_env(study_data, meta_data = "item_level", label_col = LABEL)

Arguments

study_data	data.frame the data frame that contains the measurements
meta_data	data.frame the data frame that contains metadata attributes of study data
label_col	variable attribute the name of the column in the metadata with labels of variables. If study_data has already been mapped, i.e., util_ds1_eval_env(ds1, ...) is called, this will work too

dataquieR documentation built on July 26, 2023, 6:10 p.m.