Perform a Fuzzy-Join With an Arbitrary Distance Metric

Code used by zoomerjoin to perform dplyr-style joins. Users wishing to write their own joining functions can extend zoomerjoin's functionality by writing joining functions to use with fuzzy_join_core.

Usage

fuzzy_join_core(
  a,
  b,
  by,
  join_func,
  mode,
  block_by = NULL,
  similarity_column = NULL,
  ...
)

Arguments

a, b

The two dataframes to join.

by

A named vector indicating which columns to join on. Format should be the same as dplyr: by = c("column_name_in_df_a" = "column_name_in_df_b"), but two columns must be specified in each dataset (x column and y column). Specification made with dplyr::join_by() are also accepted.

join_func

the joining function responsible for performing the join.

mode

the dplyr-style type of join you want to perform

block_by

A named vector indicating which columns to 'block' (perform exact joining) on. Format should be the same as dplyr: by = c("column_name_in_df_a" = "column_name_in_df_b"), but two columns must be specified in each dataset (x column and y column). Specification made with dplyr::join_by() are also accepted.

similarity_column

An optional character vector. If provided, the data frame will contain a column with this name giving the similarity between the two fields. Extra column will not be present if anti-joining.

...

Other parameters to be passed to the joining function