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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

A 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:

  1. 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.

  2. 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. Please consult the report for more details.