#' Read data from file
#'
#' Reads data from a csv file and returns a data frame tbl object.
#'
#' @param filename input string
#' @return data frame tbl with data read from provided file
#' filename. File filename is expected to be in .csv format.
#' Function is stopped if the provided
#' filename does not exist.
#' @importFrom readr read_csv
#' @importFrom dplyr tbl_df
#'
#' @examples
#'
#' fars_read(my_file)
#'
#' @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)
}
#' Make a filename from a given year
#'
#' Create a filename from a given year which includes the
#' year in the correct locationin the name.
#'
#' @param year integer or string
#'
#' @return string, specialized filename containing year
#'
#' @examples
#'
#' make_filename(1992)
#'
#' make_filename("1992")
#'
#' @export
make_filename <- function(year) {
year <- as.integer(year)
sprintf("accident_%d.csv.bz2", year)
}
#' Convert a vector of years to a list of filenames and imports them
#'
#' Converts a vector years to a list of filenames using the make_filename
#' function. Produces errors for invalid years in the input vector.
#'
#' @param years vector of integer or string
#'
#' @return list of string
#'
#' @importFrom dplyr mutate select %>%
#'
#' @examples
#'
#' fars_read_years(c(1993,1995,2001,2016))
#'
#' fars_read_years(c("1993",1995,"2001",2016))
#'
#' @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)
})
})
}
#' Organizes data by year and month
#'
#' Reads data with year and month components, returns a count
#' of data entries for each month in each year, and organizes
#' the return data frame using a separate column for
#' each year.
#'
#' @param years vector of years, integer or character
#'
#' @return data frame
#'
#' @importFrom dplyr bind_rows group_by summrize %>%
#' @importFrom tidyr spread
#'
#' @examples
#'
#' fars_summarize_years(c("1993",1995,"2001",2016))
#'
#' @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)
}
#' Read and plots accidents in a given state and year on a map.
#'
#' Read data from a file. Plots accidents in a given state
#' and year on a map. Returns error if the given year is
#' invalid. Prints message if there are no accidents to plot.
#'
#' @param state.num integer or character
#'
#' @param year integer or character
#'
#' @return None
#'
#' @importFrom maps map
#' @importFrom graphics point
#'
#' @seealso \code{\link{make_filename}} \code{\link{fars_read}}
#' @examples
#'
#' fars_map_state(23,1994)
#'
#' @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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