#' Read csv files
#' @param filename name (character) of the csv file
#' @details if file does not exist, a warning message appears
#' @importFrom readr read_csv
#' @importFrom dplyr tbl_df
#' @return an object of tbl_df class
#' @export
fars_read <- function(filename) {
if(!file.exists(filename))
stop("file '", filename, "' does not exist")
data <- suppressMessages({
readr::read_csv(filename, progress = FALSE)
})
dplyr::tbl_df(data)
}
#' Create a file name containing a specific year
#' @param year an character or integer value that represent a year
#' @return an object of class character
#' @examples
#' make_filename("2015")
#' make_filename(2015)
#' @export
make_filename <- function(year) {
year <- as.integer(year)
sprintf("accident_%d.csv.bz2", year)
}
#' Read information of specific year
#' @param years an character or integer value that represent a year
#' @importFrom dplyr mutate %>% select
#' @details if the value of year is not in the data, a warning message appears
#' @return an object of tbl_df class with two variables: month and year
#' @export
fars_read_years <- function(years) {
lapply(years, function(year) {
file <- make_filename(year)
tryCatch({
dat <- fars_read(file)
dplyr::mutate(dat, year = year) %>%
dplyr::select(MONTH, year)
}, error = function(e) {
warning("invalid year: ", year)
return(NULL)
})
})
}
#' Read information of specific year giving summarize information
#' @param years an character or integer value that represent a year
#' @importFrom dplyr bind_rows group_by summarize
#' @importFrom tidyr spread
#' @return an object of tbl_df class with two variables: year and n (count)
#' @export
fars_summarize_years <- function(years) {
dat_list <- fars_read_years(years)
dplyr::bind_rows(dat_list) %>%
dplyr::group_by(year, MONTH) %>%
dplyr::summarize(n = n()) %>%
tidyr::spread(year, n)
}
#' Create a map of the count of accidents by giving information of year and state number
#' @param state.num an character or integer value that represent a state
#' @param year an character or integer value that represent a year
#' @importFrom dplyr filter
#' @importFrom ggplot2 ggplot geom_polygon map_data aes guides geom_point coord_quickmap
#' @details if state number does not exist, a warning message appears. In addition, function does return nothing if there is not information of accidents
#' @return a plot of a map where dots represent accidents
#' @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$LATITUDE > 90
ggplot2::ggplot() +
ggplot2::geom_polygon(data = ggplot2::map_data("state"),
ggplot2::aes(x = long, y = lat, group = group), fill = NA, color = "black") +
ggplot2::guides(fill=FALSE) +
ggplot2::geom_point(data = data.sub,
ggplot2::aes(LONGITUD, LATITUDE), shape = 46) +
ggplot2::coord_quickmap(xlim = range(data.sub$LONGITUD, na.rm = TRUE),
ylim = range(data.sub$LATITUDE, na.rm = TRUE))
}
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