In schwarja209/rfars: Functions to Analize FARS Data

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rfars

This is a package developed for the course "Building R Packages" on Coursera, as part of the Mastering Software Development in R specialization offered by Johns Hopkins University. It consists of a set of functions used to analyze and visualize the data from the US National Highway Traffic Safety Administration's Fatality Analysis Reporting System (FARS).

This R package is available on Github and can be installed by calling the following function in R:

devtools::install_github("https://github.com/schwarja209/rfars")

Purpose

The aim of this project was to combine the skills of creating, writing, and testing an R package, using the R files provided in the course Building R Packages offered by the Johns Hopkins University through the Coursera's platform.

For this assessment, it was required that we perform the following tasks:

• Write a vignette to be included in the package using knitr and R Markdown;
• Formulate at least one test using the testthat package;
• Put the package on Github;
• Set up the package's repository so that can be checked and built on Travis;
• Add the Travis badge to the package's README.md file, as soon as your package has built on Travis and the build is passing without errors, warnings, or notes.

Example

The functions in rfars can be used as follows (using raw test data in the "data-raw" folder):

fars_read(filename="accident_2013.csv.bz2")

make_filename(year=2013)

fars_read_years(years=c(2013,2014,2015))

fars_summarize_years(years=c(2013,2014,2015))

fars_map_state(state.num=1,year=2013)

Help files describing what each function does with the given inputs can be found in the "man" folder.

R Session

The session in which I have created this package was the following:

sessionInfo()

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