A wrapper function for cat_replace() that only requires an inputted
vector of messy countries. country_replace() uses a built in clean list of
country names country.names as the reference clean vector.
country_replace(messy_countries, threshold = NA, p = 0)
| messy_countries | Vector containing the messy country 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 |
country_replace() returns a cleaned version of the bad vector, with each
element replaced by the most similar element of the good vector.
Country names are often misspelled or abbreviated in datasets, especially datasets that have been
manually digitized or created. country_replace() is a warpper function of cat_replace() 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 country.names as the reference clean vector and
replaces your inputted messy vector of names to their nearest match in country.names.
if (FALSE) { if(interactive()){ #EXAMPLE1 lst <- c("Conagoa", "Blearaus", "Venzesual", "Uruagsya", "England") fixed <- country_replace(lst) } }