Add (Select) Leader Experience and Attribute Descriptions (LEAD) Data to Leader-Year or Leader-Dyad-Year Data
Source:R/add_lead.R
add_lead.Rdadd_lead() allows you to add some data recorded in the LEAD data to your leader-year or leader-dyad-year data.
Arguments
- data
a leader-year or leader-dyad-year data frame
- keep
an optional parameter, specified as a character vector, about what leader attributes the user wants to return from this function. If
keepis not specified, everything from theLEADdata in this package is returned. Otherwise, the function subsets theLEADdata to just what the user wants.
Value
add_lead() takes a leader-year or leader-dyad-year data frame and adds some data recorded in the LEAD data to it.
For leader-dyad-year data, suffices of "1" and "2" are added to the data to indicate attributes of the first leader (obsid1)
or the second leader (obsid2), respectively.
References
Ellis, Carli Mortenson, Michael C. Horowitz, and Allan C. Stam. 2015. "Introducing the LEAD Data Set." International Interactions 41(4): 718--741.
Examples
# \donttest{
# just call `library(tidyverse)` at the top of the your script
library(magrittr)
create_leaderyears() %>% add_lead()
#> Joining with `by = join_by(obsid)`
#> # A tibble: 17,686 × 18
#> obsid leader gwcode gender leaderage year yrinoffice leveledu milservice
#> <chr> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 USA-1869 Grant 2 M 47 1869 1 2 1
#> 2 USA-1869 Grant 2 M 48 1870 2 2 1
#> 3 USA-1869 Grant 2 M 49 1871 3 2 1
#> 4 USA-1869 Grant 2 M 50 1872 4 2 1
#> 5 USA-1869 Grant 2 M 51 1873 5 2 1
#> 6 USA-1869 Grant 2 M 52 1874 6 2 1
#> 7 USA-1869 Grant 2 M 53 1875 7 2 1
#> 8 USA-1869 Grant 2 M 54 1876 8 2 1
#> 9 USA-1869 Grant 2 M 55 1877 9 2 1
#> 10 USA-1877 Hayes 2 M 55 1877 1 3 1
#> # ℹ 17,676 more rows
#> # ℹ 9 more variables: combat <dbl>, rebel <dbl>, warwin <dbl>, warloss <dbl>,
#> # rebelwin <dbl>, rebelloss <dbl>, yrsexper <dbl>, physhealth <dbl>,
#> # mentalhealth <dbl>
create_leaderyears() %>% add_lead(keep = c("yrsexper"))
#> Joining with `by = join_by(obsid)`
#> # A tibble: 17,686 × 8
#> obsid leader gwcode gender leaderage year yrinoffice yrsexper
#> <chr> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 USA-1869 Grant 2 M 47 1869 1 0
#> 2 USA-1869 Grant 2 M 48 1870 2 0
#> 3 USA-1869 Grant 2 M 49 1871 3 0
#> 4 USA-1869 Grant 2 M 50 1872 4 0
#> 5 USA-1869 Grant 2 M 51 1873 5 0
#> 6 USA-1869 Grant 2 M 52 1874 6 0
#> 7 USA-1869 Grant 2 M 53 1875 7 0
#> 8 USA-1869 Grant 2 M 54 1876 8 0
#> 9 USA-1869 Grant 2 M 55 1877 9 0
#> 10 USA-1877 Hayes 2 M 55 1877 1 12
#> # ℹ 17,676 more rows
# }