add_cow_majors() allows you to add Correlates of War major power variables
to a dyad-year, leader-year, leader dyad-year, or state-year data frame.
a data frame with appropriate peacesciencer attributes
Be mindful that the data are fundamentally state-year and that extensions to leader-level data should be understood as approximations for leaders in a given state-year.
add_cow_majors() takes a data frame and adds information
about major power status for the given state or dyad in that year. If the
data are dyad-year (or leader dyad-year), the function returns two
columns for whether the first state (i.e.
ccode1) or the second
ccode2) are major powers in the given year, according
to the Correlates of War. 1 = is a major power. 0 = is not a major
power. If the data are state-year (or leader-year), the functions
returns just one column (
cowmaj) for whether the
state was a major power in a given state-year.
Steven V. Miller
Correlates of War Project. 2017. "State System Membership List, v2016." Online, https://correlatesofwar.org/data-sets/state-system-membership
# just call `library(tidyverse)` at the top of the your script library(magrittr) cow_ddy %>% add_cow_majors()
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