scores_data: Score Data

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

Description

Description

Usage

scores_data(
  .matches,
  .source,
  .target,
  .cols_match,
  .cols_exact = NULL,
  .w_unique = NULL,
  .w_custom = NULL
)

Arguments

.matches	Dataframe produced by match_data()
.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_exact	Columns that must be matched perfectly. (Data will be partitioned using those columns)
.w_unique	Weights calculated by get_weights()
.w_custom	A named numeric vector that matches the columns of .cols_match w/o the columns of .cols_exact

Value

A dataframe

Examples

tab_source <- table_source[1:100, ]
tab_target <- table_target[1:999, ]
cols_match <- c("name", "iso3", "city", "address")
cols_exact <- "iso3"
cols_join  <- c("name", "iso3")
tab_match <- match_data(
  .source = tab_source,
  .target = tab_target,
  .cols_match = cols_match,
  .cols_exact = cols_exact,
  .cols_join = cols_join,
  .method = "soundex",
)
scores_data(
  .matches = tab_match, 
  .source = tab_source, 
  .target = tab_target, 
  .cols_match = cols_match,
  .cols_exact = cols_exact
  )

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