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")
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:
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.
The session in which I have created this package was the following:
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 15063)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.4.1 backports_1.1.0 magrittr_1.5 rprojroot_1.2
[5] tools_3.4.1 htmltools_0.3.6 yaml_2.1.14 Rcpp_0.12.12
[9] stringi_1.1.5 rmarkdown_1.6 knitr_1.17 stringr_1.2.0
[13] digest_0.6.12 evaluate_0.10.1
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