convert colnames to standardized names, via aliases, but change only best match for each standard name Used by address_from_table()

convert colnames to standardized names, via aliases, but change only best match for each standard name Used by address_from_table()

Usage

fixcolnames_infer(
  currentnames,
  alias_list = list(lat = lat_alias, lon = lon_alias, address = c("address"), street =
    c("street", "street address", "address1", "address 1"), city = c("city", "cityname",
    "city name"), state = c("state", "mystate", "statename", "ST"), zip = c("zip",
    "zipcode", "zip code")),
  ignore.case = TRUE,
  verbose = FALSE
)

Arguments

currentnames

vector of colnames that may include aliases

alias_list

optional named list where names are standard colnames like "street" and each named element in list is a vector of aliases for that standard name

ignore.case

whether to ignore case in matching to aliases

verbose

set to TRUE for testing/ to check what this function does

Value

vector like currentnames but some renamed to a standard name if alias found, ignoring case.

Details

fixcolnames_infer() and fixnames_aliases() are very similar. and latlon_infer() is also very similar.

• fixcolnames_infer() is designed to figure out for a data.frame which one column is the best guess (top pick) for which should be used as the "lat" column, for example, so when several colnames are matches to one preferred name, based on the alias_list, this function picks only one of them to rename to the preferred or canonical name, leaving others as-is.

• In contrast to that, fixnames_aliases() is more general and every input element that can be matched with a canonical name gets changed to that preferred version, so even if multiple input names are different aliases of "lat", for example, they all get changed to "lat."

See also

latlon_infer() fixnames_aliases() that is almost the same