
Add Vaccination Date Variables to the Output Dataset
Source:R/derive_vars_vaxdt.R
      derive_vars_vaxdt.RdCreates vaccination date variables from EX domain. A date variable will be
created for each vaccination taking values from the variable EXSTDTC.
Arguments
- dataset
 Input dataset
The variables specified by the
by_varsargument are expected.- dataset_adsl
 Input adsl dataset
The vaccination date variables created will be merged with this adsl dataset.
- by_vars
 Grouping variables.
The variables to be grouped to filter the first observation within each by group.
- order
 Sorting variables.
The variables order to be specified either in ascending or descending order. By default ascending order will be applicable.
Details
If there are multiple vaccinations for a visit per subject,warning will be
provided and only first observation will be filtered based on the variable
order specified on the order argument. In this case, user need to select
the by_vars appropriately.
The number of variables created will be based on the number of vaccinations per subject per visit.
See also
Other der_var:
derive_var_aval_adis(),
derive_vars_crit(),
derive_vars_event_flag(),
derive_vars_max_flag(),
derive_vars_merged_vaccine(),
derive_vars_params()
Examples
library(tibble)
library(admiral)
library(dplyr)
input <- tribble(
  ~USUBJID, ~EXSTDTC, ~VISITNUM, ~EXTRT, ~EXLNKGRP, ~VISIT,
  "A001", "2015-01-10", 1, "DRUG A", "VAC 1", "VISIT 1",
  "A001", "2015-01-11", 2, "DRUG A", "VAC 2", "VISIT 2",
  "A001", "2015-01-12", 3, "DRUG B", "VAC 3", "VISIT 3",
  "A002", "2015-01-13", 1, "DRUG B", "VAC 1", "VISIT 1",
  "A002", "2015-01-14", 2, "DRUG C", "VAC 2", "VISIT 2"
)
adsl <- tribble(
  ~USUBJID, ~SEX, ~AGE,
  "A001", "MALE", 23,
  "A002", "FEMALE", 26,
)
derive_vars_vaxdt(
  dataset = input,
  dataset_adsl = adsl,
  by_vars = exprs(USUBJID, VISITNUM),
  order = exprs(USUBJID, VISITNUM, VISIT, EXSTDTC)
)
#> # A tibble: 2 × 6
#>   USUBJID SEX      AGE VAX01DT    VAX02DT    VAX03DT   
#>   <chr>   <chr>  <dbl> <date>     <date>     <date>    
#> 1 A001    MALE      23 2015-01-10 2015-01-11 2015-01-12
#> 2 A002    FEMALE    26 2015-01-13 2015-01-14 NA