Function reference • peacesciencer

Functions that Create Data

The following functions in peacesciencer create the base data of interest to a researcher, to which the researcher can use follow-up functions afterward to either add information and/or remove rows.

create_dyadyears(): Create dyad-years from state system membership data

create_leaderdays(): Create leader-days from leader data

create_leaderdyadyears(): Create leader-dyad-years from the Archigos data

create_leaderyears(): Create leader-years from leader data

create_statedays(): Create state-days from state system membership data

create_stateyears(): Create state-years from state system membership data

Functions that Add/Merge/Filter Data

The following functions are called after the base data are created. These add various indicators of interest to the researcher and/or subset the base data to a handful of rows that the user deems appropriate for analysis.

add_archigos(): Add Archigos political leader information to dyad-year and state-year data

add_atop_alliance(): Add Alliance Treaty Obligations and Provisions (ATOP) alliance data to a dyad-year data frame

add_capital_distance(): Add capital-to-capital distance to a data frame

add_ccode_to_gw(): Add Correlates of War state system codes to your data with Gleditsch-Ward state codes.

add_contiguity(): Add Correlates of War direct contiguity information to a data frame

add_cow_alliance(): Add Correlates of War alliance data to a data frame

add_cow_majors(): Add Correlates of War major power information to a data frame

add_cow_mids(): Add Correlates of War (CoW) Militarized Interstate Dispute (MID) data to dyad-year data frame

add_cow_trade(): Add Correlates of War trade data to a data frame

add_cow_wars(): Add Correlates of War war data to dyad-year or state-year data frame.

add_creg_fractionalization(): Add fractionalization/polarization estimates from CREG to a data frame

add_democracy(): Add democracy information to a data frame

add_fpsim(): Add dyadic foreign policy similarity measures to your data

add_gml_mids(): Add Gibler-Miller-Little (GML) Militarized Interstate Dispute (MID) data to a data frame

add_gwcode_to_cow(): Add Gleditsch-Ward state system codes to your data with Correlates of War state codes.

add_igos(): Add Correlates of War international governmental organizations (IGOs) data to dyad-year or state-year data.

add_lead(): Add (Select) Leader Experience and Attribute Descriptions (LEAD) Data to Leader-Year or Leader-Dyad-Year Data

add_lwuf(): Add Estimates of Leader Willingness to Use Force to Leader-Year Data

add_minimum_distance(): Add minimum distance data to your data frame

add_nmc(): Add Correlates of War National Military Capabilities Data

add_peace_years(): Add Peace Years to Your Conflict Data

add_rugged_terrain(): Add rugged terrain information to a data frame

add_sdp_gdp(): Add (Surplus and Gross) Domestic Product Data

add_spells(): Add "Spells" to Data

add_strategic_rivalries(): Add Thompson and Dreyer's (2012) strategic rivalry data to dyad-year data frame

add_ucdp_acd(): Add UCDP Armed Conflict Data to state-year data frame

add_ucdp_onsets(): Add UCDP onsets to state-year data

filter_prd(): Filter dyad-year data to include just politically relevant dyads

whittle_conflicts_duration() wc_duration(): Whittle Duplicate Conflict-Years by Conflict Duration

whittle_conflicts_fatality() wc_fatality(): Whittle Duplicate Conflict-Years by Highest Fatality

whittle_conflicts_hostility() wc_hostility(): Whittle Duplicate Conflict-Years by Conflict Hostility

whittle_conflicts_jds() wc_jds(): Whittle Duplicate Conflict-Years by Just Dropping Something ("JDS")

whittle_conflicts_onsets() wc_onsets(): Whittle Unique Conflict Onset-Years from Conflict-Year Data

whittle_conflicts_reciprocation() wc_recip(): Whittle Duplicate Conflict-Years by Conflict Reciprocation

whittle_conflicts_startmonth() wc_stmon(): Whittle Duplicate Conflict-Years by Lowest Start Month

Other Functions

These are miscellaneous functions also included in this package.

declare_attributes(): Declare peacesciencer-specific attributes to data

download_extdata(): Download Some Extra Data for Peace Science Research

ps_cite(): Get BibTeX Entries Associated with peacesciencer Data and Functions

ps_version(): Get Version Information About Data Included in peacesciencer

show_duplicates(): Show Duplicate Observations in Your Dyad-Year or State-Year Data Frame

Data

These are the data included in peacesciencer. They are used internally for the functions listed above, though a researcher can also call these data objects into the R session if they would like to inspect the data for themselves.

LEAD: (An Abbreviation of) The LEAD Data Set

archigos: Archigos: A (Subset of a) Dataset on Political Leaders

atop_alliance: Alliance Treaty Obligations and Provisions (ATOP) Project Data (v. 5.0)

ccode_democracy: Democracy data for all Correlates of War states

cow_capitals: A complete list of capitals and capital transitions for Correlates of War state system members

cow_contdir: Correlates of War Direct Contiguity Data (v. 3.2)

cow_ddy: A directed dyad-year data frame of Correlates of War state system members

cow_gw_years: Correlates of War and Gleditsch-Ward states, by year

cow_igo_ndy: Correlates of War Non-Directed Dyad-Year International Governmental Organizations (IGOs) Data

cow_igo_sy: Correlates of War State-Year International Governmental Organizations (IGOs) Data

cow_majors: Correlates of War Major Powers Data (1816-2016)

cow_mid_ddydisps: Directed Dyadic Dispute-Year Data with No Duplicate Dyad-Years (CoW-MID, v. 5.0)

cow_mid_dirdisps: Directed Dyadic Dispute-Year Data (CoW-MID, v. 5.0)

cow_mid_disps: Abbreviated CoW-MID Dispute-level Data (v. 5.0)

cow_mindist: The Minimum Distance Between States in the Correlates of War System, 1886-2019

cow_nmc: Correlates of War National Military Capabilities Data

cow_sdp_gdp: (Surplus and Gross) Domestic Product for Correlates of War States

cow_states: Correlates of War State System Membership Data (1816-2016)

cow_trade_sy: Correlates of War National Trade Data Set (v. 4.0)

cow_war_inter: Correlates of War Inter-State War Data (v. 4.0)

cow_war_intra: Correlates of War Intra-State War Data (v. 4.1)

creg: Composition of Religious and Ethnic Groups (CREG) Fractionalization/Polarization Estimates

cow_alliance gml_dirdisp gml_mid_ddydisps gml_mid_disps gml_part gml_mid_ddlydisps gml_mid_dirleaderdisps: Data sets that have been deprecated

false_cow_dyads: False Correlates of War Directed Dyad-Years

false_gw_dyads: False Gleditsch-Ward Directed Dyad-Years

grh_arms_races: Conventional Arms Races During Periods of Rivalry

gw_capitals: A complete list of capitals and capital transitions for Gleditsch-Ward state system members

gw_cow_years: Gleditsch-Ward states and Correlates of War, by year

gw_ddy: A directed dyad-year data frame of Gleditsch-Ward state system members

gw_mindist: The Minimum Distance Between States in the Gleditsch-Ward System, 1886-2019

gw_sdp_gdp: (Surplus and Gross) Domestic Product for Gleditsch-Ward States

gw_states: Gleditsch-Ward (Independent States) System Membership Data (1816-2017)

gwcode_democracy: Democracy data for all Gleditsch-Ward states

hief: Historical Index of Ethnic Fractionalization data

leader_codes: A Data Set of Leader Codes Across Archigos 4.1, Archigos 2.9, and the LEAD Data

lwuf: Leader Willingness to Use Force

maoz_powers: Zeev Maoz' Regional/Global Power Data

ps_bib: A BibTeX Data Frame of Citations

ps_data_version: The Version Numbers for Data Included in peacesciencer

rugged: Rugged/Mountainous Terrain Data

td_rivalries: Thompson and Dreyer's (2012) Strategic Rivalries, 1494-2010

tss_rivalries: Thompson et al. (2021) Strategic Rivalries, 1494-2020

ucdp_acd: UCDP Armed Conflict Data (ACD) (v. 20.1)

ucdp_onsets: UCDP Onset Data (v. 19.1)