In MPC24/fars3: Package for FARS accident data analysis

library(fars3)

library(dplyr)

library(maps)

Package Description

This is a simple package composed of five functions that work specifically with Fatality Analysis Reporting System accident data. You load, summarize and map data for fatel accidents in the US for years 2013-2015. f

Function Instructions for Package

make_filename

This is a function that takes a year parameter and creates a filename for Fatality Analysis Reporting System data.

Example:

filename <- make_filename(2013)

fars_read

This function returns a tibble dataframe from a CSV file. If the file path is wrong or the file does not exist then an error message will return. It takes one argument: 'filename'.

Example:

filename <- make_filename(2013)

fars2013 <- fars_read(filename)

fars_read_years

This function returns a list of tibble dataframes containing the month and year varibles from the accident files from the Fatality Analysis Reporting System. The dataframes are compliled based on the years specified in a vector from the 'years' parameter. If only one year is provided that a simple tibble dataframe is returned.

Example:

years <- c(2013, 2014)

fars1314 <- fars_read_years(years)

fars_summarize_years

This function returns a dataframe that summarizes the three dataframe objects from the list created by the 'fars_read_years' function. The dataframe contains four columns and twelve rows. The 'MONTH' column has the month number and the three year columns contain the number of fatalities in the corresponding month.

Example:

years <- c(2013, 2014, 2015)

fars1315 <- fars_summarize_years(years)

fars_map_state

This function returns a map showing the location of accidents in a single state from a single year based on data from the the Fatality Analysis Reporting System.

fars_map <- fars_map_state(10, 2013)

MPC24/fars3 documentation built on May 28, 2019, 1:45 p.m.