What does the R-package 'RAQSAPI' do?

A Simple Interface to the US EPA Air Quality System Data Mart API

Who authored RAQSAPI?

Clinton Mccrowey, Timothy Sharac, Nick Mangus, Doug Jager, Ryan Brown, Daniel Garver, Benjamin Wells, Hayley Brittingham, crr, ctr

CRAN/E | RAQSAPI

Installation

About

Retrieve air monitoring data and associated metadata from the US Environmental Protection Agency's Air Quality System service using functions. See for details about the US EPA Data Mart API.

Citation	RAQSAPI citation info
<github.com/USEPA/RAQSAPI>
<aqs.epa.gov/aqsweb/documents/data_api.html>
Copyright	United States Environmental Protection Agency
System requirements	package manual requires pandoc (>= 1.14) http://pandoc.org
Bug report	File report

Key Metrics

Version	2.0.3
R	≥ 4.0.0
Published	2022-01-28 828 days ago
Needs compilation?	no
License	CC0
CRAN checks	RAQSAPI results
Language	en-US

Downloads

Yesterday	5 +25%
Last 7 days	168 -6%
Last 30 days	769 -1%
Last 90 days	2.200 +3%
Last 365 days	8.435 +18%

Maintainer

Clinton Mccrowey

mccrowey.clinton@epa.gov

Authors

Clinton Mccrowey	cre / aut (United States Enviornmental Protection Agency Region 3 Air and Radiation Division)
Timothy Sharac	ctb / rev (United States Enviornmental Protection Agency)
Nick Mangus	rev (United States Enviornmental Protection Agency)
Doug Jager	ctb / rev (United States Enviornmental Protection Agency)
Ryan Brown	ctb / rev (United States Enviornmental Protection Agency)
Daniel Garver	ctb / rev (United States Enviornmental Protection Agency)
Benjamin Wells	ctb / rev (United States Enviornmental Protection Agency)
Hayley Brittingham
crr
ctr	(Neptune and Company)

Material

NEWS
Reference manual
Package source

Vignettes

RAQSAPI - Acknowledgements
RAQSAPI - EPA Disclaimer
RAQSAPI - Install and Setup
RAQSAPI - Introduction to RAQSAPI
RAQSAPI - A Brief introduction into RAQSAPI functions
RAQSAPI - RAQSAPI functions Long version
RAQSAPI - Objectives of the RAQSAPI package
RAQSAPI - Usage tips and precautions
Introduction to the RAQSAPI package
RAQSAPI - About the timeliness of AQS Data
RAQSAPI - Troubleshooting RAQSAPI
RAQSAPI - Using RAQSAPI

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

RAQSAPI archive

Depends

R

≥ 4.0.0

Imports

dplyr
glue
httr
jsonlite
lubridate
magrittr
purrr
stringr
tibble
rlang
lifecycle

Suggests

spelling
desc
devtools
goodpractice
keyring
knitr
markdown
roxygen2
rmarkdown
testthat	≥ 3.0.0
usethis
covr