Creating PARAMCD from lookup dataset and assigning PARAM,PARAMN,PARCAT1,
PARCAT2 variables
Arguments
- dataset
Input dataset Input dataset is expected to have variables
USUBJID,FAOBJ,FACAT,FATESTCDandFATEST- lookup_dataset
lookup dataset containing
PARAMCDvalues for every uniqueFATESTCDandFAOBJlookup dataset is expected to have variablesFATEST,PARAMCD,FATESTCD,FAOBJand one entry for every uniqueFATESTCDandFAOBJ- merge_vars
List of Variables need to be merged from lookup dataset
Value
The output dataset contains all observations and variables of the
input dataset along with PARAM,PARAMCD,PARCAT1,PARCAT2,PARAMN
Details
A lookup dataset is required with PARAMCD values for every combination
of FATEST & FAOBJ.
PARAMCD PARAMN PARAMN PARCAT1 PARCAT2 values can be assigned
from lookup dataset.
if `PARAMN` not assigned in lookup dataset then
`PARAMN` is assigned with a unique number for every unique PARAM value.
if `PARAM` value not assigned in lookup dataset then
`PARAM` value is a combination of `FAOBJ` `FATEST` `FASTRESU` `FALOC`
`FADIR` `FALAT`
if `PARCAT1` value not assigned in lookup dataset then
`PARCAT1` is assigned as `FACAT`
if `PARCAT2` value not assigned in lookup dataset then
`PARCAT2` is assigned as `FASCAT`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_vaxdt()
Examples
library(admiral)
library(tibble)
library(dplyr)
lookup_dataset <- tibble::tribble(
~FATESTCD, ~PARAMCD, ~PARAMN, ~FATEST, ~FAOBJ,
"SEV", "SEVREDN", 1, "Severity", "Redness",
"DIAMETER", "DIARE", 2, "Diameter", "Redness",
"MAXDIAM", "MDIRE", 3, "Maximum Diameter cm", "Redness",
"MAXTEMP", "MAXTEMP", 4, "Maximum Temperature", "Fever",
"OCCUR", "OCFEVER", 5, "Occurrence Indicator", "Fever",
"OCCUR", "OCERYTH", 6, "Occurrence Indicator", "Erythema",
"SEV", "SEVPAIN", 7, "Severity", "Pain at Injection site",
"OCCUR", "OCPAIN", 8, "Occurrence Indicator", "Pain at Injection site",
"OCCUR", "OCSWEL", 9, "Occurrence Indicator", "Swelling"
)
input <- tibble::tribble(
~USUBJID, ~FACAT, ~FASCAT, ~FATESTCD, ~FAOBJ, ~FATEST, ~FALOC, ~FALAT,
"ABC101", "REACTO", "ADMIN", "SEV", "Redness", "Severity", "ARM", "LEFT",
"ABC101", "REACTO", "ADMIN", "DIAMETER", "Redness", "Diameter", "ARM", "RIGHT",
"ABC101", "REACTO", "ADMIN", "MAXDIAM", "Redness", "Maximum Diameter", NA, NA,
"ABC101", "REACTO", "SYSTEMIC", "MAXTEMP", "Fever", "Maximum Temp", NA, NA,
"ABC101", "REACTO", "SYSTEMIC", "OCCUR", "Fever", "Occurrence", NA, NA,
"ABC101", "REACTO", "ADMIN", "OCCUR", "Erythema", "Occurrence", NA, NA,
"ABC101", "REACTO", "ADMIN", "SEV", "Swelling", "Severity", NA, NA,
"ABC101", "REACTO", "ADMIN", "OCCUR", "Swelling", "Occurrence", NA, NA,
"ABC101", "REACTO", "ADMIN", "OCCUR", "Swelling", "Occurrence", NA, NA
)
derive_vars_params(
dataset = input,
lookup_dataset = lookup_dataset,
merge_vars = exprs(PARAMCD, PARAMN)
)
#> # A tibble: 9 × 13
#> USUBJID FACAT FASCAT FATESTCD PARAM FAOBJ FATEST FALOC FALAT PARAMCD PARAMN
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 ABC101 REACTO ADMIN SEV Redn… Redn… Sever… ARM LEFT SEVREDN 1
#> 2 ABC101 REACTO ADMIN DIAMETER Redn… Redn… Diame… ARM RIGHT DIARE 2
#> 3 ABC101 REACTO ADMIN MAXDIAM Redn… Redn… Maxim… NA NA MDIRE 3
#> 4 ABC101 REACTO SYSTEMIC MAXTEMP Feve… Fever Maxim… NA NA MAXTEMP 4
#> 5 ABC101 REACTO SYSTEMIC OCCUR Feve… Fever Occur… NA NA OCFEVER 5
#> 6 ABC101 REACTO ADMIN OCCUR Eryt… Eryt… Occur… NA NA OCERYTH 6
#> 7 ABC101 REACTO ADMIN SEV Swel… Swel… Sever… NA NA NA NA
#> 8 ABC101 REACTO ADMIN OCCUR Swel… Swel… Occur… NA NA OCSWEL 9
#> 9 ABC101 REACTO ADMIN OCCUR Swel… Swel… Occur… NA NA OCSWEL 9
#> # ℹ 2 more variables: PARCAT1 <chr>, PARCAT2 <chr>
