Extracts state-level membership records for one or more IGOs and years.
Source
Codebook Version 3 IGO Data for the full reference.
Arguments
- ioname
An IGO identifier or vector of identifiers from igo_year_format3. Use
igo_search()to find valid identifiers.- year
An integer or vector of years to assess. If
NULL, the latest available year for each IGO is used.- status
A character vector of membership statuses to extract from state-level IGO membership records. See state_year_format3 for valid statuses.
Value
A data.frame with one row per matching state, IGO and
year, including the membership status.
Returns NULL invisibly if no results are available.
References
Pevehouse, J. C., Nordstrom, T., McManus, R. W. & Jamison, A. S. (2020). Tracking organizations in the world: The Correlates of War IGO Version 3.0 data sets. Journal of Peace Research, 57(3), 492–503. doi:10.1177/0022343319881175 .
See also
igo_search() to find IGO identifiers, igo_year_format3 for IGO-year
data and state_year_format3 for state-year membership data.
Extract IGO membership data:
igo_dyadic(),
igo_state_membership()
Examples
library(dplyr)
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
igo_members("EU", year = 1993) |> as_tibble()
#> # A tibble: 12 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 EU 200 uk United Kingdom 1993 1 Full Membership European…
#> 2 EU 205 ireland Ireland 1993 1 Full Membership European…
#> 3 EU 210 netherlands Netherlands 1993 1 Full Membership European…
#> 4 EU 211 belgium Belgium 1993 1 Full Membership European…
#> 5 EU 212 luxembourg Luxembourg 1993 1 Full Membership European…
#> 6 EU 220 france France 1993 1 Full Membership European…
#> 7 EU 230 spain Spain 1993 1 Full Membership European…
#> 8 EU 235 portugal Portugal 1993 1 Full Membership European…
#> 9 EU 255 germany Germany 1993 1 Full Membership European…
#> 10 EU 325 italy Italy 1993 1 Full Membership European…
#> 11 EU 350 greece Greece 1993 1 Full Membership European…
#> 12 EU 390 denmark Denmark 1993 1 Full Membership European…
igo_members("EU") |> as_tibble()
#> # A tibble: 28 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 EU 200 uk United Kingdom 2014 1 Full Membership European…
#> 2 EU 205 ireland Ireland 2014 1 Full Membership European…
#> 3 EU 210 netherlands Netherlands 2014 1 Full Membership European…
#> 4 EU 211 belgium Belgium 2014 1 Full Membership European…
#> 5 EU 212 luxembourg Luxembourg 2014 1 Full Membership European…
#> 6 EU 220 france France 2014 1 Full Membership European…
#> 7 EU 230 spain Spain 2014 1 Full Membership European…
#> 8 EU 235 portugal Portugal 2014 1 Full Membership European…
#> 9 EU 255 germany Germany 2014 1 Full Membership European…
#> 10 EU 290 poland Poland 2014 1 Full Membership European…
#> # ℹ 18 more rows
igo_members("NAFTA", year = c(1995:1998)) |> as_tibble()
#> # A tibble: 12 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 NAFTA 2 usa United States of America 1995 1 Full Member… North …
#> 2 NAFTA 20 canada Canada 1995 1 Full Member… North …
#> 3 NAFTA 70 mexico Mexico 1995 1 Full Member… North …
#> 4 NAFTA 2 usa United States of America 1996 1 Full Member… North …
#> 5 NAFTA 20 canada Canada 1996 1 Full Member… North …
#> 6 NAFTA 70 mexico Mexico 1996 1 Full Member… North …
#> 7 NAFTA 2 usa United States of America 1997 1 Full Member… North …
#> 8 NAFTA 20 canada Canada 1997 1 Full Member… North …
#> 9 NAFTA 70 mexico Mexico 1997 1 Full Member… North …
#> 10 NAFTA 2 usa United States of America 1998 1 Full Member… North …
#> 11 NAFTA 20 canada Canada 1998 1 Full Member… North …
#> 12 NAFTA 70 mexico Mexico 1998 1 Full Member… North …
# Extract multiple membership statuses.
igo_members("ACCT", status = c("Associate Membership", "Observer")) |>
as_tibble()
#> # A tibble: 26 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 ACCT 347 kosovo Kosovo 2014 2 Associate Me… Franco…
#> 2 ACCT 352 cyprus Cyprus 2014 2 Associate Me… Franco…
#> 3 ACCT 694 qatar Qatar 2014 2 Associate Me… Franco…
#> 4 ACCT 42 domrepublic Dominican Republic 2014 3 Observer Franco…
#> 5 ACCT 70 mexico Mexico 2014 3 Observer Franco…
#> 6 ACCT 94 costarica Costa Rica 2014 3 Observer Franco…
#> 7 ACCT 165 uruguay Uruguay 2014 3 Observer Franco…
#> 8 ACCT 290 poland Poland 2014 3 Observer Franco…
#> 9 ACCT 305 austria Austria 2014 3 Observer Franco…
#> 10 ACCT 310 hungary Hungary 2014 3 Observer Franco…
#> # ℹ 16 more rows
# States that are not members of the UN.
igo_members("UN", status = "No Membership") |>
as_tibble()
#> # A tibble: 2 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 UN 347 kosovo Kosovo 2014 0 No Membership United Nations
#> 2 UN 713 taiwan Taiwan 2014 0 No Membership United Nations
# Vectorized search.
igo_members(c("NAFTA", "EU"), year = 1993) |>
as_tibble() |>
arrange(state)
#> # A tibble: 15 × 8
#> ioname ccode state statenme year value category orgname
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr>
#> 1 EU 211 belgium Belgium 1993 1 Full Me… Europe…
#> 2 NAFTA 20 canada Canada 1993 1 Full Me… North …
#> 3 EU 390 denmark Denmark 1993 1 Full Me… Europe…
#> 4 EU 220 france France 1993 1 Full Me… Europe…
#> 5 EU 255 germany Germany 1993 1 Full Me… Europe…
#> 6 EU 350 greece Greece 1993 1 Full Me… Europe…
#> 7 EU 205 ireland Ireland 1993 1 Full Me… Europe…
#> 8 EU 325 italy Italy 1993 1 Full Me… Europe…
#> 9 EU 212 luxembourg Luxembourg 1993 1 Full Me… Europe…
#> 10 NAFTA 70 mexico Mexico 1993 1 Full Me… North …
#> 11 EU 210 netherlands Netherlands 1993 1 Full Me… Europe…
#> 12 EU 235 portugal Portugal 1993 1 Full Me… Europe…
#> 13 EU 230 spain Spain 1993 1 Full Me… Europe…
#> 14 EU 200 uk United Kingdom 1993 1 Full Me… Europe…
#> 15 NAFTA 2 usa United States of Ameri… 1993 1 Full Me… North …
# Add country codes.
if (requireNamespace("countrycode", quietly = TRUE)) {
library(countrycode)
EU <- igo_members("EU")
EU$iso3c <- countrycode(EU$ccode, origin = "cown", destination = "iso3c")
EU$continent <- countrycode(EU$ccode,
origin = "cown",
destination = "continent"
)
tibble(EU)
}
#> # A tibble: 28 × 10
#> ioname ccode state statenme year value category orgname iso3c continent
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <fct> <chr> <chr> <chr>
#> 1 EU 200 uk United … 2014 1 Full Me… Europe… GBR Europe
#> 2 EU 205 ireland Ireland 2014 1 Full Me… Europe… IRL Europe
#> 3 EU 210 netherlan… Netherl… 2014 1 Full Me… Europe… NLD Europe
#> 4 EU 211 belgium Belgium 2014 1 Full Me… Europe… BEL Europe
#> 5 EU 212 luxembourg Luxembo… 2014 1 Full Me… Europe… LUX Europe
#> 6 EU 220 france France 2014 1 Full Me… Europe… FRA Europe
#> 7 EU 230 spain Spain 2014 1 Full Me… Europe… ESP Europe
#> 8 EU 235 portugal Portugal 2014 1 Full Me… Europe… PRT Europe
#> 9 EU 255 germany Germany 2014 1 Full Me… Europe… DEU Europe
#> 10 EU 290 poland Poland 2014 1 Full Me… Europe… POL Europe
#> # ℹ 18 more rows