Skip to contents

Get Duplicate Records that Led to a Prior Error

Usage

get_duplicates_dataset()

Value

A data.frame or NULL

Details

Many {admiral} function check that the input dataset contains only one record per by_vars group and throw an error otherwise. The get_duplicates_dataset() function allows one to retrieve the duplicate records that lead to an error.

Note that the function always returns the dataset of duplicates from the last error that has been thrown in the current R session. Thus, after restarting the R sessions get_duplicates_dataset() will return NULL and after a second error has been thrown, the dataset of the first error can no longer be accessed (unless it has been saved in a variable).

See also

Utilities for Dataset Checking: get_many_to_one_dataset(), get_one_to_many_dataset()

Examples

data(admiral_adsl)

# Duplicate the first record
adsl <- rbind(admiral_adsl[1L, ], admiral_adsl)

signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "warning")
#> Warning: Dataset contains duplicate records with respect to `USUBJID`
#>  Run `admiral::get_duplicates_dataset()` to access the duplicate records

get_duplicates_dataset()
#> Duplicate records with respect to `USUBJID`.
#> # A tibble: 2 × 54
#>   USUBJID     STUDYID  SUBJID RFSTDTC RFENDTC RFXSTDTC RFXENDTC RFICDTC RFPENDTC
#> * <chr>       <chr>    <chr>  <chr>   <chr>   <chr>    <chr>    <chr>   <chr>   
#> 1 01-701-1015 CDISCPI… 1015   2014-0… 2014-0… 2014-01… 2014-07… NA      2014-07…
#> 2 01-701-1015 CDISCPI… 1015   2014-0… 2014-0… 2014-01… 2014-07… NA      2014-07…
#> # ℹ 45 more variables: DTHDTC <chr>, DTHFL <chr>, SITEID <chr>, AGE <dbl>,
#> #   AGEU <chr>, SEX <chr>, RACE <chr>, ETHNIC <chr>, ARMCD <chr>, ARM <chr>,
#> #   ACTARMCD <chr>, ACTARM <chr>, COUNTRY <chr>, DMDTC <chr>, DMDY <dbl>,
#> #   TRT01P <chr>, TRT01A <chr>, TRTSDTM <dttm>, TRTSTMF <chr>, TRTEDTM <dttm>,
#> #   TRTETMF <chr>, TRTSDT <date>, TRTEDT <date>, TRTDURD <dbl>, SCRFDT <date>,
#> #   EOSDT <date>, EOSSTT <chr>, FRVDT <date>, RANDDT <date>, DTHDT <date>,
#> #   DTHDTF <chr>, DTHADY <dbl>, LDDTHELD <dbl>, DTHCAUS <chr>, DTHDOM <chr>, …