Vital Signs Analysis Dataset (ADVS)
radvs.Rd
Function for generating a random Vital Signs Analysis Dataset for a given Subject-Level Analysis Dataset.
Usage
radvs(
adsl,
param = c("Diastolic Blood Pressure", "Pulse Rate", "Respiratory Rate",
"Systolic Blood Pressure", "Temperature", "Weight"),
paramcd = c("DIABP", "PULSE", "RESP", "SYSBP", "TEMP", "WEIGHT"),
paramu = c("Pa", "beats/min", "breaths/min", "Pa", "C", "Kg"),
visit_format = "WEEK",
n_assessments = 5L,
n_days = 5L,
seed = NULL,
na_percentage = 0,
na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =
c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),
cached = FALSE
)
Arguments
- adsl
(
data.frame
)
Subject-Level Analysis Dataset (ADSL).- param
(
character vector
)
Parameter values.- paramcd
(
character vector
)
Parameter code values.- paramu
(
character vector
)
Parameter unit values.- visit_format
(
character
)
Type of visit. Options are "WEEK" and "CYCLE".- n_assessments
(
integer
)
Number of weeks or cycles.- n_days
(
integer
)
Number of days in each cycle (only used ifvisit_format
is "CYCLE").- seed
(
numeric
)
Seed to use for reproducible random number generation.- na_percentage
(
proportion
)
Default percentage of values to be replaced byNA
.- na_vars
(
list
)
A named list where the name of each element is a column name ofds
. Each element of this list should be a numeric vector with two elements:seed
(numeric
)
The seed to be used for this element - can beNA
.percentage
(proportion
)
Percentage of elements to be replaced withNA
. IfNA
,na_percentage
is used as a default.
- cached
boolean whether the cached ADVS data
cadvs
should be returned or new data should be generated. If set toTRUE
then the other arguments toradvs
will be ignored.
Details
One record per subject per parameter per analysis visit per analysis date.
Keys: STUDYID
, USUBJID
, PARAMCD
, BASETYPE
, AVISITN
, ATPTN
, DTYPE
, ADTM
, VSSEQ
, ASPID
Examples
library(random.cdisc.data)
adsl <- radsl(N = 10, seed = 1, study_duration = 2)
advs <- radvs(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)
advs
#> # A tibble: 540 × 87
#> 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… UNKNO… BRA N
#> 2 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 3 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 4 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 5 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 6 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 7 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 8 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 9 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 10 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> # ℹ 530 more rows
#> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> # ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> # TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> # BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> # AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> # TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …
advs <- radvs(adsl, visit_format = "CYCLE", n_assessments = 3L, seed = 2)
advs
#> # A tibble: 960 × 87
#> 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… UNKNO… BRA N
#> 2 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 3 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 4 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 5 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 6 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 7 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 8 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 9 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> 10 AB12345 AB12345-B… id-9 BRA-1 35 YEARS F BLAC… UNKNO… BRA N
#> # ℹ 950 more rows
#> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> # ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> # TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> # BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> # AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> # TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …