Make a disposition table
sweet_disposition.RdCount the number of subjects and samples impacted by a "deletion flag" DELFN
Usage
sweet_disposition(
data,
subjid,
group_vars,
cnt_n_keeps = NULL,
init_desc = "Concentration Records Received"
)Arguments
- data
a data frame that must include deletion flags called DELFN.
- subjid
Subject Identifier such as USUBJID, or ID.
- group_vars
grouping variables useful in disposition tables such as STUDY or STUDYID. If none are provided a default group="1" will be set
- cnt_n_keeps
Deletion Flags DELFN that should be included in disposition table but do NOT remove subjects or rows.
- init_desc
Initial description of records received default is "Concentration Records Received"
Examples
broken_pk %>%
dplyr::filter(EVID == 0) %>%
sweet_disposition(subjid = USUBJID, group_vars = STUDYID)
#> # A tibble: 12 × 8
#> # Groups: STUDYID [2]
#> `Flag #` `Reason for Deletion` STUDYID `Samples Excluded` `Subjects Affected`
#> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 0 Concentration Record… CDISCP… 0 0
#> 2 0 Concentration Record… CDISCP… 0 0
#> 3 7 Placebo Group Not In… CDISCP… 689 53
#> 4 7 Placebo Group Not In… CDISCP… 429 33
#> 5 9 Missing Concentratio… CDISCP… 8 2
#> 6 9 Missing Concentratio… CDISCP… 0 0
#> 7 10 Missing Sample Date … CDISCP… 8 2
#> 8 10 Missing Sample Date … CDISCP… 0 0
#> 9 14 Missing Dose Date or… CDISCP… 0 0
#> 10 14 Missing Dose Date or… CDISCP… 13 1
#> 11 50 Analyst-Identified O… CDISCP… 1 1
#> 12 50 Analyst-Identified O… CDISCP… 1 1
#> # ℹ 3 more variables: `Subjects Excluded` <dbl>, `Remaining Samples` <dbl>,
#> # `Remaining Subjects` <dbl>