radae.Rd
Function for generating random Adverse Event Analysis Dataset for a given Subject-Level Analysis Dataset.
Subject-Level Analysis Dataset (ADSL).
Maximum number of AEs per patient.
Data.frame containing additional parameters.
Data.frame containing additional metadata parameters.
Seed for random number generation.
(numeric
) Default percentage of values to be replaced by NA
(list
) A named list where the name of each element is a column name of ds
. Each
element of this list should be a numeric vector with two elements
seed The seed to be used for this element - can be left NA
percentage How many element should be replaced. 0 is 0 % 1 is 100 %, can be left NA and default percentage is used. This will overwrite default percentage (percentage argument))
boolean whether the cached ADAE data cadae
should be returned or new data
should be generated. If set to TRUE
then the other arguments to radae
will be ignored.
data.frame
One record per each record in the corresponding SDTM domain.
Keys: STUDYID USUBJID ASTDTM AETERM AESEQ.
library(random.cdisc.data)
ADSL <- radsl(N = 10, study_duration = 2, seed = 1)
radae(ADSL, seed = 2)
#> # A tibble: 51 × 74
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
#> <chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
#> 1 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… NOT H… BRA N
#> 2 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… NOT H… BRA N
#> 3 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… NOT H… BRA N
#> 4 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… NOT H… BRA N
#> 5 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… NOT H… BRA N
#> 6 AB12345 AB12345-B… id-8 BRA-9 31 YEARS F ASIAN NOT H… BRA N
#> 7 AB12345 AB12345-B… id-8 BRA-9 31 YEARS F ASIAN NOT H… BRA N
#> 8 AB12345 AB12345-B… id-8 BRA-9 31 YEARS F ASIAN NOT H… BRA N
#> 9 AB12345 AB12345-B… id-8 BRA-9 31 YEARS F ASIAN NOT H… BRA N
#> 10 AB12345 AB12345-B… id-8 BRA-9 31 YEARS F ASIAN NOT H… BRA N
#> # … with 41 more rows, and 63 more variables: INVID <chr>, INVNAM <chr>,
#> # ARM <fct>, ARMCD <fct>, ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>,
#> # TRT01A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> # BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> # RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, EOSSTT <fct>, EOTSTT <fct>,
#> # EOSDT <date>, EOSDY <int>, DCSREAS <fct>, DTHDT <date>, DTHCAUS <fct>,
#> # DTHCAT <fct>, LDDTHELD <int>, LDDTHGR1 <fct>, LSTALVDT <date>, …
# Add metadata.
aag <- utils::read.table(
sep = ",", header = TRUE,
text = paste(
"NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE",
"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,",
"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,",
"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD",
"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD",
"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW",
"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW",
sep = "\n"
), stringsAsFactors = FALSE
)
adae <- radae(ADSL, lookup_aag = aag)
with(
adae,
cbind(
table(AEDECOD, SMQ01NAM),
table(AEDECOD, CQ01NAM)
)
)
#> C.1.1.1.3/B.2.2.3.1 AESI D.2.1.5.3/A.1.1.1.1 AESI
#> dcd A.1.1.1.1 0 2
#> dcd A.1.1.1.2 0 0
#> dcd B.1.1.1.1 0 0
#> dcd B.2.1.2.1 0 0
#> dcd B.2.2.3.1 5 0
#> dcd C.1.1.1.3 7 0
#> dcd C.2.1.2.1 0 0
#> dcd D.1.1.1.1 0 0
#> dcd D.1.1.4.2 0 0
#> dcd D.2.1.5.3 0 4