fuzzy_match: Fuzzy match (single term).
In datavores/vgsample: A Representative Sample of Video Games

Description Usage Arguments Details Value

Checks term against term vector for fuzzy matches.

1 2	fuzzy_match(term, term_vector, max_dist = 0.1, min_test_length = NA, skip_pure_digit = FALSE, dist_method = "jw", jw_penalty = 0)

`term`	Character string (term to be evaluated for matches).
`term_vector`	Character vector (for term to be evaluated against).
`max_dist`	Numeric from 0 to 1. Sets threshold for no match. See agrepl.
`min_test_length`	Integer. Sets minimum length for term to be evaluated at all.
`skip_pure_digit`	Boolean. If TRUE, a term that consists only of digits will not be evaluated at all.

Takes a character string (term) and a character vector (population of terms) as inputs. Uses the base R agrepl function to perform fuzzy string matching (see optional parameters for how this behavior can be tweaked). Returns a list including a vector of any terms "matching" the target term and vector of boolean values that can be used to subset the population of terms for the same values.

Returns a list with two elements, "match_logic" and "matches". "match_logic" is a vector of booleans that could be used to subset the term population to extract matched values. "matches" is a character vector with the matched values.

datavores/vgsample documentation built on May 14, 2019, 8:59 p.m.