knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
This package gives you accident fatality data and functions to read the data into R and to perform basic processing with it.
The data included in this package comes from the Fatality Analysis Reporting System, or FARS, which is a nationwide census providing yearly data regarding fatal injuries suffered in motor vehicle crashes. By default, this package includes data from 2013, 2014, and 2015 in bz2 format. Further data can be downloaded from the NHTSA website, but note that it will need to be saved in the same directory and format as the included data.
advancedr
contains several functions to make reading the FARS data into R easy for users.
The make_filename
function included in the package takes a year and returns a file path that
points to the data for that year. Note that this is a shortcut for getting the file path of
an existing file: if the file for that year is not in the working directory, or is formatted
differently from what the function expects, this will return a valid path.
The fars_read
function takes either the returned filename from make_filename
or a .csv filename
provided by the user and reads in into R, outputting a tibble that is ready to be analyzed.
# Example code to read in data devtools::load_all() sample_file <- make_filename(2013) sample_file sample_tibble <- fars_read(system.file("extdata", "accident_2013.csv.bz2", package = "advancedr")) sample_tibble
There are wide possibilities for analysis within this data. The advancedr
package comes with
two functions that demonstrate some of what can be done.
The fars_summarize_years
function takes a list of years and breaks down that year's fatalities
by month. You can use this to see if any trends pop up in the data, or in conjunction with other
analyses.
fars_summarize_years(2014)
The and the fars_map_state
function uses ggplot2 functionality to plot, in R, where accidents
took place within a state's rough borders. (Note that Alaska's borders are too wide for this function
as designed.)
fars_map_state(1, 2014)
Use these functions or others from
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