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#' Find Correlates of War state codes, abbreviations and names
#'
#' @name igo_search_states
#'
#' @description
#' Finds Correlates of War country codes, abbreviations and names for states.
#'
#' @param state A state name or code, or a vector of names or codes, as
#' specified in [states2024].
#'
#' @returns
#' A [`data.frame`][data.frame()] with Correlates of War country codes,
#' abbreviations, names and the matching `state` identifiers used by
#' [state_year_format3].
#'
#' @inherit igo_dyadic source references
#'
#' @seealso [states2024] for state codes, abbreviations and names.
#'
#' @family queries
#'
#' @export
#' @encoding UTF-8
#'
#' @examplesIf requireNamespace("dplyr", quietly = TRUE)
#' library(dplyr)
#'
#' igo_search_states("Spain") |> as_tibble()
#'
#' igo_search_states(c(20, 150)) |> as_tibble()
#'
#' igo_search_states("congo") |> as_tibble()
#'
#' igo_search_states(c("Germany", "papal states")) |> as_tibble()
#'
#' igo_search_states(c("FRN", "United Kingdom", 240, "italy")) |> as_tibble()
igo_search_states <- function(state) {
# Keep one lookup result for each input value.
find_v <- lapply(state, igo_search_state_single)
igo_bind_results(find_v, "No states were found for the supplied arguments.")
}
igo_search_state_single <- function(state) {
df_states <- cow_cntr_codes()
matches <- lapply(df_states, function(column) {
match(tolower(state), tolower(column))
})
find_state <- sort(unique(unlist(matches, use.names = FALSE)))[1]
if (is.na(find_state)) {
message(
"Unknown value for `state`: ",
paste0("'", state, "'", collapse = ", "),
"."
)
return(invisible(NULL))
}
df_states[find_state, ]
}
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