Creates dyad-year IGO data. Each row represents a pair of states in one year and summarizes their joint memberships across IGOs.
Source
Codebook Version 3 IGO Data for the full reference.
Arguments
- country1, country2
A state or vector of states to compare. Each value can be any state name or code in states2016.
- year
An integer or vector of years to assess.
- ioname
An optional IGO identifier or vector of identifiers. If
NULL(the default), all IGOs are included. Useigo_search()to find valid identifiers.
Value
A coded data.frame with one row per state pair and year and
one column per selected IGO. See Details for the coding scheme.
Details
The arguments country1 and country2 are named for compatibility with
earlier versions of igoR. Values are matched against states in
states2016.
This function reproduces the structure of the original dyad-year file
distributed by the Correlates of War Project
(dyadic_format3.dta). That file is not included in this package due to its
size.
The result contains one row for each common year selected by country1,
country2 and year.
The dyadid column identifies each relationship and is computed as
(1000 * ccode1) + ccode2.
For each selected IGO, the result includes a column named after its lowercase identifier and uses this coding scheme:
| Category | Numerical value |
| No Joint Membership | 0 |
| Joint Full Membership | 1 |
| Missing data | -9 |
| State Not System Member | -1 |
Use igo_recode_dyadic() to recode the numerical values as
factors.
If one state in an IGO is a full member but the other is an associate member or observer, that IGO is not coded as a joint membership.
Differences from the original data set
For some IGOs, results differ from the original data set in the coding of
"Missing data" (-9) and "State Not System Member" (-1). The available
documentation does not fully specify how to reproduce those values.
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
state_year_format3, states2016, igo_search(), igo_recode_dyadic().
Other membership functions:
igo_members(),
igo_state_membership()
Examples
usa_esp <- igo_dyadic("USA", "Spain")
nrow(usa_esp)
#> [1] 199
ncol(usa_esp)
#> [1] 546
dplyr::tibble(usa_esp)
#> # A tibble: 199 × 546
#> dyadid ccode1 stateabb1 statenme1 state1 ccode2 stateabb2 statenme2 state2
#> <dbl> <int> <chr> <chr> <chr> <int> <chr> <chr> <chr>
#> 1 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 2 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 3 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 4 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 5 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 6 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 7 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 8 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 9 2230 2 USA United Stat… usa 230 SPN Spain spain
#> 10 2230 2 USA United Stat… usa 230 SPN Spain spain
#> # ℹ 189 more rows
#> # ℹ 537 more variables: year <dbl>, ccode <dbl>, state <dbl>, aaaid <dbl>,
#> # aacb <dbl>, aalco <dbl>, aaro <dbl>, aata <dbl>, aatpo <dbl>, abeda <dbl>,
#> # abepseac <dbl>, acc <dbl>, acct <dbl>, acdt <dbl>, aci <dbl>, acml <dbl>,
#> # acp <dbl>, acpeu <dbl>, acs <dbl>, acso <dbl>, acssrb <dbl>, acu <dbl>,
#> # acwl <dbl>, afesd <dbl>, afeximb <dbl>, afgec <dbl>, afpu <dbl>,
#> # afrand <dbl>, afristat <dbl>, afspc <dbl>, afte <dbl>, agc <dbl>, …
# Use custom arguments.
custom <- igo_dyadic(
country1 = c("France", "Germany"), country2 = c("Sweden", "Austria"),
year = 1992:1993, ioname = "EU"
)
dplyr::glimpse(custom)
#> Rows: 8
#> Columns: 11
#> $ dyadid <dbl> 220380, 220380, 255380, 255380, 220305, 220305, 255305, 2553…
#> $ ccode1 <int> 220, 220, 255, 255, 220, 220, 255, 255
#> $ stateabb1 <chr> "FRN", "FRN", "GMY", "GMY", "FRN", "FRN", "GMY", "GMY"
#> $ statenme1 <chr> "France", "France", "Germany", "Germany", "France", "France"…
#> $ state1 <chr> "france", "france", "germany", "germany", "france", "france"…
#> $ ccode2 <int> 380, 380, 380, 380, 305, 305, 305, 305
#> $ stateabb2 <chr> "SWD", "SWD", "SWD", "SWD", "AUS", "AUS", "AUS", "AUS"
#> $ statenme2 <chr> "Sweden", "Sweden", "Sweden", "Sweden", "Austria", "Austria"…
#> $ state2 <chr> "sweden", "sweden", "sweden", "sweden", "austria", "austria"…
#> $ year <dbl> 1992, 1993, 1992, 1993, 1992, 1993, 1992, 1993
#> $ eu <dbl> -1, 0, -1, 0, -1, 0, -1, 0