match_data: Match Data

In MatthiasUckert/Rmatch: A General Package For Any Matching Tasks

Description

Description

Usage

match_data(
  .source,
  .target,
  .cols_match,
  .cols_join = NULL,
  .cols_exact = NULL,
  .max_match = 10,
  .method = "osa",
  .verbose = TRUE,
  .workers = future::availableCores(),
  .char_block = c(Inf, Inf)
)

Arguments

.source	The Source Dataframe. (Must contain a unique column id and the columns you want to match on)
.target	The Target Dataframe. (Must contain a unique column id and the columns you want to match on)
.cols_match	A character vector of columns to perform fuzzy matching.
.cols_join	Columns to perfrom an exact match on, before fuzzy-matching. (Matched IDs will be excluded from fuzzy-match)
.cols_exact	Columns that must be matched perfectly. (Data will be partitioned using those columns)
.max_match	Maximum number of matches to return (Default = 10)
.method	One of "osa", "lv", "dl", "hamming", "lcs", "qgram", "cosine", "jaccard", "jw", "soundex". See: stringdist-metrics stringdist
.verbose	Print additional information?
.workers	Number of cores to utilize (Default all cores determined by future::availableCores())
.char_block	Character Block Size. Used to partition data. First element chunks the source data in ngram-blocks. Second element allows for characters in target below/above block size.

Value

A dataframe

Examples

tab_source <- table_source[1:100, ]
tab_target <- table_target[1:999, ]
cols_match <- c("name", "iso3", "city", "address")
cols_join  <- c("name", "iso3")
cols_exact <- "iso3"

match_data(
  .source = tab_source,
  .target = tab_target,
  .cols_match = cols_match,
  .cols_join = cols_join,
  .cols_exact = cols_exact
)

MatthiasUckert/Rmatch documentation built on Jan. 3, 2022, 11:09 p.m.