ECG Analysis Dataset (ADEG)
radeg.Rd
Function for generating random dataset from ECG Analysis Dataset for a given Subject-Level Analysis Dataset.
Usage
radeg(
adsl,
egcat = c("INTERVAL", "INTERVAL", "MEASUREMENT", "FINDING"),
param = c("QT Duration", "RR Duration", "Heart Rate", "ECG Interpretation"),
paramcd = c("QT", "RR", "HR", "ECGINTP"),
paramu = c("msec", "msec", "beats/min", ""),
visit_format = "WEEK",
n_assessments = 5L,
n_days = 5L,
max_n_eg = 10L,
lookup = NULL,
seed = NULL,
na_percentage = 0,
na_vars = list(ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1), CHG =
c(1234, 0.1), PCHG = c(1234, 0.1)),
cached = FALSE
)
Arguments
- adsl
(
data.frame
)
Subject-Level Analysis Dataset (ADSL).- egcat
(
character vector
)
EG category values.- 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").- max_n_eg
(
integer
)
Maximum number of EG results per patient. Defaults to 10.- lookup
(
data.frame
)
Additional parameters.- 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 ADEG data
cadeg
should be returned or new data should be generated. If set toTRUE
then the other arguments toradeg
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
, EGSEQ
, ASPID
Examples
library(random.cdisc.data)
adsl <- radsl(N = 10, seed = 1, study_duration = 2)
adeg <- radeg(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)
adeg
#> # A tibble: 420 × 88
#> 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 410 more rows
#> # ℹ 77 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>, …
adeg <- radeg(adsl, visit_format = "CYCLE", n_assessments = 2L, seed = 2)
adeg
#> # A tibble: 500 × 88
#> 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 490 more rows
#> # ℹ 77 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>, …