Add Thompson and Dreyer's (2012) strategic rivalry data to dyad-year data frame
Source:R/add_strategic_rivalries.R
add_strategic_rivalries.Rdadd_strategic_rivalries() merges in Thompson and Dreyer's (2012) strategic rivalry data
to a dyad-year data frame. The right-bound, as of right now, are bound at 2010.
Arguments
- data
a dyad-year data frame (either "directed" or "non-directed")
- across_types
optional, relevant for state-year, takes a value of 1, 2, or 3 to look for whether one of three types fits criteria for ideological, interventionary, positional, spatial rivalry. Defaults to 1.
Value
add_strategic_rivalries() takes a dyad-year data frame and adds information about ongoing strategic rivalries. It
will also include a simple dummy variable for whether there was an ongoing rivalry in the year or not.
For state-year data, it returns the count of ongoing strategic rivalries for the state in the year meeting a certain criteria (i.e.
whether the state has an interventionary, ideological, positional, or spatial rivalry in an ongoing year, and how many).
Details
add_strategic_rivalries() will include some other information derived from the rivalry data that the
user may not want (e.g. start year of the rivalry). Feel free to select those out after the fact. Function includes
an on-the-fly adjustment for Austria for rivalry #79. In this case, the Austria-Serbia rivalry continues for two years
after Austria-Hungary (ccode: 300) became Austria (ccode: 305).
The across_types argument is optional and observed for only state-year calls. It defaults to 1. At the default,
the function looks into the rivalry data (in td_rivalries) and focuses on the type1 column. If, say, a state has
an ongoing rivalry and it is primarily spatial, it codes that as a spatial rivalry. Assume you input across_types = 2, the
function then looks across both the type1 and type2 columns to see if there is a spatial component to the rivalry as
either its primary or secondary dimension. If so, it codes that as a 1. across_types must be 1, 2, or 3.
References
Miller, Steven V. 2019. "Create and Extend Strategic (International) Rivalry Data in R". URL: http://svmiller.com/blog/2019/10/create-extend-strategic-rivalry-data-r/
Thompson, William R. and David Dreyer. 2012. Handbook of International Rivalries. CQ Press.
Examples
# \donttest{
# just call `library(tidyverse)` at the top of the your script
library(magrittr)
cow_ddy %>% add_strategic_rivalries()
#> Joining with `by = join_by(ccode1, ccode2, year)`
#> # A tibble: 2,139,270 × 12
#> ccode1 ccode2 year rivalryno rivalryname styear endyear region type1 type2
#> <dbl> <dbl> <int> <dbl> <chr> <dbl> <dbl> <chr> <chr> <chr>
#> 1 2 20 1920 NA NA NA NA NA NA NA
#> 2 2 20 1921 NA NA NA NA NA NA NA
#> 3 2 20 1922 NA NA NA NA NA NA NA
#> 4 2 20 1923 NA NA NA NA NA NA NA
#> 5 2 20 1924 NA NA NA NA NA NA NA
#> 6 2 20 1925 NA NA NA NA NA NA NA
#> 7 2 20 1926 NA NA NA NA NA NA NA
#> 8 2 20 1927 NA NA NA NA NA NA NA
#> 9 2 20 1928 NA NA NA NA NA NA NA
#> 10 2 20 1929 NA NA NA NA NA NA NA
#> # ℹ 2,139,260 more rows
#> # ℹ 2 more variables: type3 <chr>, ongoingrivalry <dbl>
# across_types defaults to 1
create_stateyears() %>% add_strategic_rivalries()
#> Joining with `by = join_by(ccode, year)`
#> # A tibble: 17,121 × 7
#> ccode statenme year ideological interventionary positional spatial
#> <dbl> <chr> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 2 United States of … 1816 0 0 1 1
#> 2 2 United States of … 1817 0 0 1 1
#> 3 2 United States of … 1818 0 0 1 1
#> 4 2 United States of … 1819 0 0 1 1
#> 5 2 United States of … 1820 0 0 1 0
#> 6 2 United States of … 1821 0 0 1 1
#> 7 2 United States of … 1822 0 0 1 1
#> 8 2 United States of … 1823 0 0 1 1
#> 9 2 United States of … 1824 0 0 1 1
#> 10 2 United States of … 1825 0 0 1 1
#> # ℹ 17,111 more rows
# }