#'Plot State map
#'
#' Function for plotting an states accidentes map for given a state & year
#'
#' @param state.num an integer value, describing the the stateid of the data set which is needed. The valid states which can be used are between \code{1 - 56}.
#' However,there no data about stats id's: \code{3, 7, 14, 43 & 52.}
#'
#' @param year an integer value, describing the year of the data set which is needed. The valid years which can be used are:\code{ 2013, 2014 & 2015}.
#'
#' @details This function using the packages: \bold{readr}, \bold{dplyr}, \bold{maps}.
#'
#' If an invalid year will be supplied to the function then show an error message.
#'
#' If an invalid state id will be supplid the the function show tn error message.
#'
#' The bounderies of longitud & latitude are below 900 & 90 respectivly.
#'
#' @return a ggplot object
#'
#' @importFrom dplyr filter
#' @importFrom maps map
#' @importFrom graphics points
#'
#' @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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