knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(Rfars)
The data in this package come from the National Highway Traffic Safety Administration (NHTSA) Fatality Analysis Reporting System (FARS) data.
fars_2013 <- make_filename(2013) fars_2013 <- fars_read(fars_2013) dim(fars_2013) fars_2013
For further details about the data, see the NHTSA FARS Manuals & Documentation page.
To load all of the data for a given year, use the make_filename()
and fars_read()
functions, as shown in the package description section.
Use the make_filename
function to find out where data is stored on your machine or to create a filename to save/load data.
fars_2013 <- make_filename(2013) fars_2013
If you would like to examine fatality data for a single year, use the fars_read_years()
function with a single year as input. The only data columns selected are MONTH
and year
. This returns a list of length one, and the first element in the list is the tibble listing the month and year for each fatal accident.
fars_2014 <- fars_read_years(years = 2014) fars_2014[[1]]
If you would like to examine fatalities for multiple years, enter a vector of years as the argument for the fars_read_years()
function (e.g., fars_read_years(years = c(2013, 2015))
or fars_read_years(2013:2015)
). This returns a list of tibbles, with each element of the list showing the month and year for each fatality.
fars_range <- fars_read_years(years = 2013:2015) fars_range
The fars_summarize_years()
function takes the same argument as the fars_read_years()
and produces a summary of the counts of fatalities by month and year:
fars_summary <- fars_summarize_years(2013:2015) fars_summary
Finally, the fars_map_state
function takes a state ID number and a year as arguments, and then maps that state's fatalities with a dot at the fatality location.
For a list of the state ID numbers, see page 26 of the FARS Analytical User's Guide (2015).
fars_map_state(53, 2014) fars_map_state(36, 2014)
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