A wrapper function for cat_match()hat only requires an inputted
vector of messy states. state_match() uses a built in clean list of
state names state.name as the reference clean vector.
state_match(messy_states, threshold = NA, p = 0)
| messy_states | Vector containing the messy state names that will be replaced
by the closest match from |
|---|---|
| threshold | The maximum distance that will form a match. If this argument is specified, any element in the messy vector that has no match closer than the threshold distance will be replaced with NA. Default: NA |
| p | Only used with method "jw", the Jaro-Winkler penatly size. Default: 0 |
state_match() returns a cleaned version of the bad vector, with each
element replaced by the most similar element of the good vector.
State names are often misspelled or abbreviated in datasets, especially datasets that have been
manually digitized or created. state_match() is a warpper function of cat_match() that quickly solves
this common issue of mispellings or different formats of country names across datasets. This wrapper
function uses a built in clean list of country names state.name as the reference clean vector and
matches your inputted messy vector of names to their nearest state in state.name.
if (FALSE) { if(interactive()){ #EXAMPLE1 lst <- c("Indianaa", "Wisvconsin", "aLaska", "NewJersey", "Claifoarni") matched <- state_match(lst) } }