countrycode | R Documentation |
Converts long country names into one of many different coding schemes. Translates from one scheme to another. Converts country name or coding scheme to the official short English country name. Creates a new variable with the name of the continent or region to which each country belongs.
countrycode(
sourcevar,
origin,
destination,
warn = TRUE,
nomatch = NA,
custom_dict = NULL,
custom_match = NULL,
origin_regex = NULL
)
sourcevar |
Vector which contains the codes or country names to be converted (character or factor) |
origin |
A string which identifies the coding scheme of origin (e.g., |
destination |
A string or vector of strings which identify the coding
scheme of destination (e.g., |
warn |
Prints unique elements from sourcevar for which no match was found |
nomatch |
When countrycode fails to find a match for the code of
origin, it fills-in the destination vector with |
custom_dict |
A data frame which supplies a new dictionary to
replace the built-in country code dictionary. Each column
contains a different code and must include no duplicates. The
data frame format should resemble
|
custom_match |
A named vector which supplies custom origin and destination matches that will supercede any matching default result. The name of each element will be used as the origin code, and the value of each element will be used as the destination code. |
origin_regex |
NULL or Logical: When using a custom
dictionary, if TRUE then the origin codes will be matched as
regex, if FALSE they will be matched exactly. When NULL,
|
For a complete description of available country codes and languages,
please see the documentation for the codelist
conversion
dictionary.
Panel data (i.e., country-year) can pose particular problems when
converting codes. For instance, some countries like Vietnam or Serbia go
through political transitions that justify changing codes over time. This
can pose problems when using codes from organizations like CoW or Polity IV,
which produce codes in country-year format. Instead of converting codes
using countrycode()
, we recommend that users use the
codelist_panel
data.frame as a base into which they can
merge their other data. This data.frame includes most relevant code, and is
already "reconciled" to ensure that each political unit is only represented
by one row in any given year. From there, it is just a matter of using merge()
to combine different datasets which use different codes.
library(countrycode)
# ISO to Correlates of War
countrycode(c('USA', 'DZA'), origin = 'iso3c', destination = 'cown')
# English to ISO
countrycode('Albania', origin = 'country.name', destination = 'iso3c')
# German to French
countrycode('Albanien', origin = 'country.name.de', destination = 'iso.name.fr')
# Using custom_match to supercede default codes
countrycode(c('United States', 'Algeria'), 'country.name', 'iso3c')
countrycode(c('United States', 'Algeria'), 'country.name', 'iso3c',
custom_match = c('Algeria' = 'ALG'))
x <- c("canada", "antarctica")
countryname(x)
countryname(x, destination = "cowc", warn = FALSE)
countryname(x, destination = "cowc", warn = FALSE, nomatch = x)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.