util_ds1_eval_env: Create an environment with several alias names for the study...
In dataquieR: Data Quality in Epidemiological Research

util_ds1_eval_env

R Documentation

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

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

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

`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