The rmpt03
table provides an overview of duration of exposure.
Usage
rmpt03_main(
adam_db,
summaryvars = "AGEGR1",
show_tot = TRUE,
row_split_var = NULL,
col_split_var = "SEX",
overall_col_lbl = "All Genders",
...
)
rmpt03_pre(adam_db, summaryvars = "AGEGR1", ...)
rmpt03
Arguments
- adam_db
(
list
ofdata.frames
) object containing theADaM
datasets- summaryvars
(
string
) variables to be analyzed. The label attribute of the corresponding columns inadex
table ofadam_db
is used as label.- show_tot
(
flag
) whether to display the cumulative total.- row_split_var
(
string
) the name of the column that containing variable to split exposure by.- col_split_var
(
string
) additional column splitting variable.- overall_col_lbl
(
string
) name of the overall column. IfNULL
, no overall level is added.- ...
not used.
Value
the main function returns an rtables
object.
the preprocessing function returns a list
of data.frame
.
Details
Person time is the sum of exposure across all patients.
Summary statistics are by default based on the number of patients in the corresponding
N
row (number of non-missing values).Does not remove zero-count rows unless overridden with
prune_0 = TRUE
.
Examples
pre_data <- dunlin::propagate(syn_data, "adsl", "AGEGR1", "USUBJID")
#>
#> Updating: adae with: AGEGR1
#> Updating: adsaftte with: AGEGR1
#> Updating: adcm with: AGEGR1
#> Updating: addv with: AGEGR1
#> Updating: adeg with: AGEGR1
#> Updating: adex with: AGEGR1
#> Updating: adlb with: AGEGR1
#> Updating: admh with: AGEGR1
#> Skipping: adrs
#> Updating: adsub with: AGEGR1
#> Skipping: adtte
#> Updating: advs with: AGEGR1
run(rmpt03, pre_data)
#> F M All Genders
#> Patients Person time Patients Person time Patients Person time
#> Age Group (N=30) (N=30) (N=15) (N=15) (N=45) (N=45)
#> —————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
#> <65 30 (100.0%) 4088 15 (100.0%) 1825 45 (100.0%) 5913
#> Total patients number/person time 30 (100.0%) 4088 15 (100.0%) 1825 45 (100.0%) 5913