admiralvaccine (version 0.6.0)

post_process_reacto: Post processing function for ADFACE dataset

Description

This is used to do post processing for ADaM reactogenicity dataset, for the derived SDTM level records, the corresponding values in FA variables will be NA.

Usage

post_process_reacto(
  dataset,
  filter_dataset = FATESTCD %in% c("MAXDIAM", "MAXSEV", "MAXTEMP") | (FATESTCD ==
    "OCCUR" & FAOBJ == "FEVER")
)

Value

The input dataframe with NA values in FA variables where the SDTM records modified for ADaM derivation purpose.

Arguments

dataset

Input dataset

filter_dataset

Filter condition Conversion of records in FA variables to NA depends on this condition.

Author

Arjun Rubalingam

Examples

library(dplyr)
library(admiral)
library(tibble)

input <- tribble(
  ~USUBJID, ~FAOBJ, ~FALAT, ~FACAT, ~FASCAT, ~FATPT, ~FATESTCD, ~PARAMCD, ~AVAL,
  "ABC-1001", "FEVER", NA, "REACTO", "SYS", "DAY 1", "MAXTEMP", "MAXTEMP", 39.4,
  "ABC-1001", "VOMITING", NA, "REACTO", "SYS", "DAY 4", "MAXSEV", "MAXVOMIT", 3,
  "ABC-1001", "SWELLING", "LEFT", "REACTO", "ADMIN", "DAY 1", "MAXSEV", "MAXSWEL", 3,
  "ABC-1001", "REDNESS", "LEFT", "REACTO", "ADMIN", "DAY 2", "DIAMATER", "DIARE", 10.3,
  "ABC-1001", "FEVER", "LEFT", "REACTO", "SYS", "DAY 2", "OCCUR", "OCCFEV", NA
)

post_process_reacto(
  dataset = input,
  filter_dataset = FATESTCD %in% c("MAXSEV", "MAXTEMP") |
    (FATESTCD == "OCCUR" & FAOBJ == "FEVER")
)