In raponxi/FARSinR2: FARSinR version 2. The version 1 did not work

knitr::opts_chunk$set(echo = TRUE)

About this package

This package has been created for reading, summarise and plot data from the US National Highway Traffic Safety Administration's Fatality Analysis Reporting System.

This system is a nationwide census providing the American public yearly data regarding fatal injuries suffered in motor vehicle traffic crashes.

Data

You can download the data used in this package from here.

You will also find the data from 2013, 2014 and 2015 in the /data folder. (note: due to this organization, the make_filename function has been adapted from the original)

Reading data: make_filename, fars_read and fars_read_years functions

The raw data from FARS is a annual set of data in CSV format, containing several columns which are not necessary for this package. Using the functions from this package, a tidy dataset containing only the required information is obtained. See individual help for each function for more information.

The only required information from the user is the year or years for the analysis. Some examples of this functions are:

source("../R/fars_functions.R")
library(maps)
library(graphics)
library(dplyr)
setwd("../inst/extdata")
make_filename(2014)
fars_read(make_filename(2013))
fars_read_years(c(2013, 2014))

Summarizing data: the fars_summarize_years function

The information can be summarized for the given years in a simple way using the function fars_summarize_years:

setwd("../inst/extdata")
fars_summarize_years(c(2013,2014,2015))

Plotting data: the fars_map_state function

Finally, you are able to plot the results to take a look on the distribution. Here is an example for the state number 1 and the year 2014. The user only have to provide the state number as first argument and the year as second. Read the help page of the function if more information is required.

setwd("../inst/extdata")
fars_map_state(1,2014)

raponxi/FARSinR2 documentation built on May 26, 2019, 11:08 p.m.