Add New Variable(s) to the Input dataset Based on Variables from Another dataset
Source:R/derive_vars_merged_vaccine.R
derive_vars_merged_vaccine.Rd
Add new variables to the input dataset based on variables from another dataset.
The variables to be added to the output dataset will be based on input variables
passed on ex_vars
argument.
Arguments
- dataset
Input dataset which should have been combined with the supplementary(if exists).
The variables specified by the
by_vars
argument inside thederive_vars_merged
are expected.- dataset_ex
ex
dataset(combined withsuppex
) to merge with the input dataset.The variables specified by the
ex_vars
argument are expected.- by_vars_sys
Grouping variables for systemic events.
- by_vars_adms
Grouping variables for administration site events.
- ex_vars
Variables to be added to the output dataset from EX dataset
Details
The input dataset will be merged with EX
dataset for "ADMINISTRATION SITE" and
"SYSTEMIC" categories separately and these datasets will be bound together as
the final output dataset.
This function is intended to add only EX
variables to the input dataset and user
is expected to handle if any pre-processing is required.
Only the variables passed to the ex_vars
will be added in the output dataset
If the input dataset has multiple vaccination for a subject at same visit
then this function will not merge ex dataset and will return the dataset
.
See also
Other der_var:
derive_var_aval_adis()
,
derive_vars_crit()
,
derive_vars_event_flag()
,
derive_vars_max_flag()
,
derive_vars_params()
,
derive_vars_vaxdt()
Examples
library(tibble)
library(admiral)
library(dplyr)
library(pharmaversesdtm)
derive_vars_merged_vaccine(
dataset = face_vaccine,
dataset_ex = ex_vaccine,
by_vars_sys = exprs(USUBJID, FATPTREF = EXLNKGRP),
by_vars_adms = exprs(USUBJID, FATPTREF = EXLNKGRP, FALOC = EXLOC, FALAT = EXLAT),
ex_vars = exprs(EXTRT, EXDOSE, EXDOSU, EXSTDTC, EXENDTC)
) %>%
select(USUBJID, FATPTREF, FALOC, FALAT, EXTRT, EXDOSE, EXDOSU, EXSTDTC, EXENDTC) %>%
head(10)
#> # A tibble: 10 × 9
#> USUBJID FATPTREF FALOC FALAT EXTRT EXDOSE EXDOSU EXSTDTC EXENDTC
#> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
#> 1 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 2 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 3 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 4 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 5 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 6 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 7 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 8 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 9 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
#> 10 ABC-1001 VACCINATION 1 DELTOID MUS… LEFT VACC… 1 SYRIN… 2021-1… 2021-1…
derive_vars_merged_vaccine(
dataset = face_vaccine,
dataset_ex = ex_vaccine,
by_vars_sys = exprs(USUBJID, FATPTREF = EXLNKGRP),
by_vars_adms = exprs(USUBJID, FATPTREF = EXLNKGRP, FALOC = EXLOC, FALAT = EXLAT),
ex_vars = exprs(EXTRT, EXDOSE, EXDOSU, EXSTDTC, EXENDTC)
)
#> # A tibble: 307 × 35
#> STUDYID DOMAIN USUBJID FASEQ FALNKGRP FALAT FALNKID FALOC FATESTCD FATEST
#> <chr> <chr> <chr> <int> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 ABC FACE ABC-1001 8 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> 2 ABC FACE ABC-1001 9 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> 3 ABC FACE ABC-1001 10 VACCINATIO… LEFT VACCIN… DELT… SEV Sever…
#> 4 ABC FACE ABC-1001 11 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> 5 ABC FACE ABC-1001 12 VACCINATIO… LEFT VACCIN… DELT… SEV Sever…
#> 6 ABC FACE ABC-1001 13 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> 7 ABC FACE ABC-1001 14 VACCINATIO… LEFT VACCIN… DELT… SEV Sever…
#> 8 ABC FACE ABC-1001 15 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> 9 ABC FACE ABC-1001 16 VACCINATIO… LEFT VACCIN… DELT… SEV Sever…
#> 10 ABC FACE ABC-1001 17 VACCINATIO… LEFT VACCIN… DELT… OCCUR Occur…
#> # ℹ 297 more rows
#> # ℹ 25 more variables: FAOBJ <chr>, FACAT <chr>, FASCAT <chr>, FAEVAL <chr>,
#> # FAORRES <chr>, FAORRESU <chr>, EPOCH <chr>, FADTC <chr>, FADY <dbl>,
#> # FATPT <chr>, FATPTNUM <dbl>, FATPTREF <chr>, FARFTDTC <chr>,
#> # FAEVLINT <chr>, FAEVINTX <chr>, FASTAT <chr>, FAREASND <chr>,
#> # FASTRESC <chr>, FASTRESN <dbl>, FASTRESU <chr>, EXTRT <chr>, EXDOSE <dbl>,
#> # EXDOSU <chr>, EXSTDTC <chr>, EXENDTC <chr>