tidy_presc: Standardise Input Data Field Names and Formats
In amarshall1/prescribeR: Quantify Exposure Based On Routine Prescribing Data

Description Usage Arguments Value Examples

Adjusts the field names and data formats of prescribing and events data to create a data frame in a format suited for use with the other functions in this package - mostly called internally by the other functions in this package, but can be used directly by the user to reduce the number of arguments which need to be passed to other functions as these standardised values are inluded as the default values in their code.

tidy_presc(df, patient_id_col = NULL, drug_id_col = NULL,
  presc_date_col = NULL, dd_disp_col = NULL, qty_disp_col = NULL,
  qty_per_day_col = NULL, ev_date_1_col = NULL, ev_date_2_col = NULL,
  date_format)

`df`	a data frame containing the data of interest
`patient_id_col`	a string, the name of the column in `df` containing the patient IDs
`drug_id_col`	a string, the name of the column in `df` containing the drug IDs
`presc_date_col`	a string, the name of the column in `df` containing the prescption date
`dd_disp_col`	a string, the name of the column in `df` containing the number of daily doses dispensed
`qty_disp_col`	a string, the name of the column in `df` containing the quantity of drug dispensed
`qty_per_day_col`	a string, the name of the column in `df` containing the quantity of drug to be taken per day
`ev_date_1_col`	a string, the name of the column containing the first event dates
`ev_date_2_col`	a string, the name of the column containing the second event dates if present
`date_format`	a string, the format of the dates in `df`

a data frame with standardised field names and formats

tidy_synth <- tidy_presc(df = synth_presc, drug_id_col = "approved_name",
 dd_disp_col = "ddd_dispensed", qty_disp_col = "qty_dispensed",
 date_format = "%Y-%m-%d")
tidy_synth <- tidy_presc(synth_events, patient_id = "patient_id",
ev_date_1 = "start_date")