Find fuzzymatch for variety using stringdist using methods "lv" and "jw"

Note: This function returns the fuzzymatches from stringdist.variety() and then places stricter requirements on variety names that end in a number with greater than one digit (e.g. the ending number must be an exact match with a string of numbers in the fuzzymatch). This requirement is to limit the number of close matches for numeric variety names. Because of this condition, must be careful when generating var_id from the raw names to remove any trailing digits that have no meaning (e.g. +25% refers to seed increase and not to a cultivar name)

Usage

find_fuzzymatch(
  var_noexactmatch,
  data_name,
  intid_col,
  select_before = Sys.Date(),
  select_crops = NULL,
  knitroutputfolder = knitroutputfolder,
  db_folder
)

Arguments

var_noexactmatch

A data.frame of the varieties without exact matches - the data.frame should contain a column for variety and internal id (intid)

data_name

A string denoting the name of the dataset

intid_col

A string denoting the name of the internal id column used to join the raw data and database

select_before

A string in the format of Ymd. The function returns cultivars that were added to the datebase before this specified date.

select_crops

A regular expression of crops separated by |. Note that this regex will filter on the crop column rather than crop_type. For example, there are entries in the wheat file with crop Triticale, so to capture both the input should be select_crops = "wheat|triticale".

knitroutputfolder

A folder path to send output

db_folder

A string path to the database controlled vocabulary folder

See also

Other match variety modules: do_exactmatch(), process_fuzzymatch(), process_std_new_names()