In schwarja209/rfars: Functions to Analize FARS Data

Description

The rfars package bundles a set of functions to analyze the data from the US National Highway Traffic Safety Administration's Fatality Analysis Reporting System (FARS).

Usage Demos

Getting the data into a more manageable format

The function fars_read() allows you to extract the data (samples in the "data-raw" folder) from a compressed format, and store it in a special R object.

# Extracts the data from a compressed file.
library(rfars)
data_2013 <- fars_read("accident_2013.csv.bz2")
head(data_2013)

The fars_read_years() function does the same, but without having to name the entire file. Just provide the year(s) of the data of interest!

Note: the function make_filename() also exists, but is mostly just an intermediate function.

Summarizing the car fatalities

In order to get the total number of fatalities by month, you can use the fars_summarize_years() function, without even having to read in the raw data first (it does it for you)!

# Creates a table by month & year with the total number of fatalities in 2013 y 2014.
fars_summarize_years(c(2013, 2014))

Visualizing the car fatalities by state

The function fars_map_state() creates a map with the car fatalities in a US state (or states, by number code) from a specific year (again, pre-reading in the data is not necessary, as the function does it for you!).

# Plots the car fatalities for the state of Florida (12) in 2015. 
fars_map_state(12, 2015)

schwarja209/rfars documentation built on May 29, 2019, 9:32 a.m.