Create dyad-years from state system membership data
Source:R/create_dyadyears.R
create_dyadyears.Rdcreate_dyadyears() allows you to dyad-year data from
either the Correlates of War (CoW) state system membership data or the
Gleditsch-Ward (gw) system membership data. The function leans on internal
data provided in the package.
Arguments
- system
a character specifying whether the user wants Correlates of War state-years ("cow") or Gleditsch-Ward ("gw") state-years. Correlates of War is the default.
- mry
optional, defaults to TRUE. If TRUE, the function extends the script beyond the most recent system membership updates to include observation to the most recently concluded calendar year. For example, the Gleditsch-Ward data extend to the end of 2017. When
mry == TRUE, the function returns more recent years (e.g. 2018, 2019) under the assumption that states alive at the end of 2017 are still alive today. Use with some care.- directed
optional, defaults to TRUE. If TRUE, the function returns so-called "directed" dyad-year data. In directed dyad-year data, France-Germany (220-255) and Germany-France (255-220) are observationally different. If FALSE, the function returns non-directed data. In non-directed data, France-Germany and Germany-France in the same year are the same observation. The standard here is to drop cases where the country code for the second observation is less than the country code for the first observation.
- subset_years
and optional character vector for subsetting the years returned to just some temporal domain of interest to the user. For example,
c(1816:1820)would subset the data to just all dyad-years in 1816, 1817, 1818, 1819, and 1820. Be advised that it's easiest to subset the data after the full universe of dyad-year data have been created. This means you could, if you choose, effectively overwritemry = TRUEwith this argument since themryargument is applied at the expansion of the state system data, which occurs at the start of the function.
Value
create_dyadyears() takes state system membership data provided
by either Correlates of War or Gleditsch-Ward and returns a dyad-year data frame.
References
Miller, Steven V. 2019. ``Create Country-Year and (Non)-Directed Dyad-Year Data With Just a Few Lines in R'' http://svmiller.com/blog/2019/01/create-country-year-dyad-year-from-country-data/
Examples
# \donttest{
# CoW is default, will include years beyond 2016 (most recent CoW update)
create_dyadyears()
#> Joining with `by = join_by(ccode1, ccode2, year)`
#> # A tibble: 2,139,270 × 3
#> ccode1 ccode2 year
#> <dbl> <dbl> <int>
#> 1 2 20 1920
#> 2 2 20 1921
#> 3 2 20 1922
#> 4 2 20 1923
#> 5 2 20 1924
#> 6 2 20 1925
#> 7 2 20 1926
#> 8 2 20 1927
#> 9 2 20 1928
#> 10 2 20 1929
#> # … with 2,139,260 more rows
# Gleditsch-Ward, include most recent years
create_dyadyears(system="gw")
#> Joining with `by = join_by(gwcode1, gwcode2, year)`
#> # A tibble: 2,089,826 × 3
#> gwcode1 gwcode2 year
#> <dbl> <dbl> <int>
#> 1 2 20 1867
#> 2 2 20 1868
#> 3 2 20 1869
#> 4 2 20 1870
#> 5 2 20 1871
#> 6 2 20 1872
#> 7 2 20 1873
#> 8 2 20 1874
#> 9 2 20 1875
#> 10 2 20 1876
#> # … with 2,089,816 more rows
# Gleditsch-Ward, don't include most recent years
create_dyadyears(system="gw", mry=FALSE)
#> Joining with `by = join_by(gwcode1, gwcode2, year)`
#> # A tibble: 1,939,316 × 3
#> gwcode1 gwcode2 year
#> <dbl> <dbl> <int>
#> 1 2 20 1867
#> 2 2 20 1868
#> 3 2 20 1869
#> 4 2 20 1870
#> 5 2 20 1871
#> 6 2 20 1872
#> 7 2 20 1873
#> 8 2 20 1874
#> 9 2 20 1875
#> 10 2 20 1876
#> # … with 1,939,306 more rows
# Gleditsch-Ward, don't include most recent years, directed = FALSE
create_dyadyears(system="gw", mry=FALSE, directed = FALSE)
#> Joining with `by = join_by(gwcode1, gwcode2, year)`
#> # A tibble: 969,658 × 3
#> gwcode1 gwcode2 year
#> <dbl> <dbl> <int>
#> 1 2 20 1867
#> 2 2 20 1868
#> 3 2 20 1869
#> 4 2 20 1870
#> 5 2 20 1871
#> 6 2 20 1872
#> 7 2 20 1873
#> 8 2 20 1874
#> 9 2 20 1875
#> 10 2 20 1876
#> # … with 969,648 more rows
# }