## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set(collapse = TRUE, comment = "#>") ## ----------------------------------------------------------------------------- library(contentiousR) panel <- build_states_panel( start_year = 2000, end_year = 2002, coding_system = "cow" ) analysis_data <- panel |> add_gdp() |> add_conflict("ucdp_prio") |> add_leader_data("archigos") analysis_data[1:4, c( "country", "year", "gdp_pcap", "ucdp_prio_incidence", "leader" )] ## ----------------------------------------------------------------------------- conflicts <- conflict_data( start_year = 2000, end_year = 2002, dataset = "ucdp_prio", coding_system = "gw" ) head(conflicts) ## ----------------------------------------------------------------------------- spell_data <- build_states_panel(1990, 2005, coding_system = "gw") |> add_conflict("ucdp_prio") |> tidyr::drop_na(ucdp_prio_onset) |> add_spell_duration(event = "ucdp_prio_onset") spell_data[spell_data$gw == 2, c("gw", "year", "ucdp_prio_onset", "ucdp_prio_spell")] ## ----------------------------------------------------------------------------- build_states_panel(1990, 1995, coding_system = "cow") |> add_gdp() |> add_lag(vars = c("gdp_pcap", "gdp_growth"), n = 1) |> dplyr::filter(cow == 2) |> dplyr::select(cow, year, gdp_pcap, gdp_pcap_l, gdp_growth_l) ## ----fig.width = 7, fig.height = 6-------------------------------------------- if (requireNamespace("ggplot2", quietly = TRUE)) { build_states_panel(1990, 2015, coding_system = "cow") |> add_conflict("ucdp_prio") |> plot_coverage("ucdp_prio_onset") } ## ----eval = FALSE------------------------------------------------------------- # remotes::install_github("vdeminstitute/vdemdata") # # panel |> # add_vdem(c("v2x_polyarchy", "v2x_libdem")) ## ----eval = FALSE------------------------------------------------------------- # panel <- build_states_panel( # start_year = 1946, # end_year = 2019, # coding_system = "cow", # or "gw" # exclude_microstates = TRUE, # exclude_non_un = TRUE, # exclude_islands = FALSE # ) ## ----eval = FALSE------------------------------------------------------------- # # Standalone # gdp <- load_gdp_data(start_year = 1990, end_year = 2015, coding_system = "cow") # fariss_gdp <- load_gdp_data(1700, 2015, dataset = "fariss", coding_system = "cow") # # # Pipeline # panel |> add_gdp() # panel |> add_gdp(dataset = "fariss") ## ----eval = FALSE------------------------------------------------------------- # # Standalone # pop_wpp <- load_population_data(1990, 2015, dataset = "wpp", coding_system = "cow") # pop_nmc <- load_population_data(1900, 2015, dataset = "nmc", coding_system = "cow") # # # Pipeline # panel |> add_population() # panel |> add_population(dataset = "nmc") ## ----eval = FALSE------------------------------------------------------------- # # Standalone # milex_sipri <- load_military_expenditure_data(1990, 2015, dataset = "sipri", coding_system = "cow") # milex_barnum <- load_military_expenditure_data(1900, 2015, dataset = "barnum", coding_system = "cow") # # # Pipeline # panel |> add_military_expenditure() # panel |> add_military_expenditure(dataset = "barnum") ## ----eval = FALSE------------------------------------------------------------- # # Standalone # vdem <- load_vdem_data( # vars = c("v2x_polyarchy", "v2x_libdem"), # start_year = 1990, # end_year = 2015, # coding_system = "cow" # ) # # # Pipeline # panel |> add_vdem(vars = c("v2x_polyarchy", "v2x_libdem")) ## ----eval = FALSE------------------------------------------------------------- # # Standalone # arch <- load_leader_data(1990, 2015, dataset = "archigos", coding_system = "cow") # reign <- load_leader_data(1990, 2015, dataset = "reign", coding_system = "gw") # # # Pipeline # panel |> add_leader_data(dataset = "archigos") # panel |> add_leader_data(dataset = "reign") ## ----eval = FALSE------------------------------------------------------------- # library(peacesciencer) # # analysis_data |> # add_from_peacesciencer(peacesciencer::add_archigos)