#' Create map of Fatality Analysis Reporting System data
#'
#' The function plots the data from a selected year and state on a map.
#'
#' @param state.num Number of state
#' @param year A year of the data to plot
#'
#' @return The function returns a plot with map of a state and the accidents place from the selected year.
#'
#' @importFrom maps map
#' @importFrom graphics points
#' @importFrom dplyr filter
#'
#' @note The files should be named 'accident_year.csv.bz2' otherwise the function will return an error.
#'
#' @examples
#' \dontrun{
#' fars_map_state(1, 2013)
#' }
#'
#' @export
fars_map_state <- function(state.num, year) {
filename <- make_filename(year)
data <- fars_read(filename)
state.num <- as.integer(state.num)
if(!(state.num %in% unique(data$STATE)))
stop("invalid STATE number: ", state.num)
data.sub <- dplyr::filter(data, STATE == state.num)
if(nrow(data.sub) == 0L) {
message("no accidents to plot")
return(invisible(NULL))
}
is.na(data.sub$LONGITUD) <- data.sub$LONGITUD > 900
is.na(data.sub$LATITUDE) <- data.sub$LATITUDE > 90
with(data.sub, {
maps::map("state", ylim = range(LATITUDE, na.rm = TRUE),
xlim = range(LONGITUD, na.rm = TRUE))
graphics::points(LONGITUD, LATITUDE, pch = 46)
})
}
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