Skip to contents

Identify and return duplicated rows in a data frame or linelist.

Source: R/find_and_remove_duplicates.R
find_duplicates.Rd

Identify and return duplicated rows in a data frame or linelist.

Usage

find_duplicates(data, target_columns = NULL)

Arguments

data

The input <data.frame> or <linelist>.

target_columns

A <vector> of columns names or indices to consider when looking for duplicates. When the input data is a <linelist> object, this parameter can be set to linelist_tags from which duplicates to be removed. Its default value is NULL, which considers duplicates across all columns.

Value

A <data.frame> or <linelist> of all duplicated rows with following 2 additional columns:

row_id

The indices of the duplicated rows from the input data. Users can choose from these indices, which row they consider as redundant in each group of duplicates.

group_id

a unique identifier associated to each group of duplicates.

Examples

dups <- find_duplicates(
  data = readRDS(
    system.file("extdata", "test_linelist.RDS", package = "cleanepi")
  ),
  target_columns = c("dt_onset", "dt_report", "sex", "outcome")
)
#> ! Found 57 duplicated rows in the dataset.
#> ℹ Use `attr(dat, "report")[["duplicated_rows"]]` to access them, where "dat" is
#>   the object used to store the output from this operation.