recode_nuts: Recode Region Codes From Source To Target NUTS Typology
In regions: Processing Regional Statistics

Description Usage Arguments Value See Also Examples

Validate your geo codes, pair them with the appropriate standard typology, look up potential causes of invalidity in the EU correspondence tables, and look up the appropriate geographical codes in the other (target) typology. For example, validate geo codes in the 'NUTS2016' typology and translate them to the now obsolete the 'NUTS2010' typology to join current data with historical data sets.

1	recode_nuts(dat, geo_var = "geo", nuts_year = 2016)

`dat`	A data frame with a 3-5 character `geo_var` variable to be validated.
`geo_var`	Defaults to `"geo"`. The variable that contains the 3-5 character geo codes to be validated.
`nuts_year`	The year of the NUTS typology to use. You can select any valid NUTS definition, i.e. `1999`, `2003`, `2006`, `2010`, `2013`, the currently used `2016` and the already announced and defined `2021`. Defaults to the current typology in force, which is `2016`.

The original data frame with a 'geo_var' column is extended with a 'typology' column that states in which typology is the 'geo_var' a valid code. For invalid codes, looks up potential reasons of invalidity and adds them to the 'typology_change' column, and at last it adds a column of character vector containing the desired codes in the target typology, for example, in the NUTS2013 typology.

Other recode functions: get_country_code()

{
foo <- data.frame (
  geo  =  c("FR", "DEE32", "UKI3" ,
            "HU12", "DED",
            "FRK"),
  values = runif(6, 0, 100 ),
  stringsAsFactors = FALSE )

recode_nuts(foo, nuts_year = 2013)
}