The Ultimate Guide to the rnoaa Package in R (2024)

• R Package Guides

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In this section, we’ll delve into the fundamental aspects and key features of the package.

The rnoaa package provides an interface to NOAA (National Oceanic and Atmospheric Administration) data APIs. It allows for easy retrieval and visualization of climate and weather data.

• Title: NOAA' Weather Data from R
• Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at , with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
• Author: Scott Chamberlain [aut] (), Daniel Hocking [aut, cre] (), Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb], rOpenSci [fnd] (https://ropensci.org)
• Maintainer: Daniel Hocking

• Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the rnoaa package, you can use the ls("package:rnoaa") function.
• Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the rnoaa package, you can use the data(package = "rnoaa") function.
• Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes, you can use the vignette(package = "rnoaa") function.
• Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the rnoaa package in the R console, you can use the citation("rnoaa") function.

• License type: MIT + file LICENSE. For license details, visit the Open Source Initiative website.
• Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The rnoaa package does not have compilation requirements.
• Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The rnoaa package has no required dependencies.
• Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The rnoaa package has the following suggested dependencies: roxygen2 (>= 7.1.0), testthat, taxize, ncdf4, raster, leaflet, rgdal, purrr, vcr (>= 0.5.4), webmockr.
• External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The rnoaa package does not use any external sources.
• Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The rnoaa package has the following imported packages: utils, crul (>= 0.7.0), lubridate, dplyr, tidyr, tidyselect, ggplot2, scales, XML, xml2, jsonlite, gridExtra, tibble, isdparser (>= 0.2.0), geonames, hoardr (>= 0.5.2), data.table.
• Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The rnoaa package has no enhancements.

# Replace "packageName" with the name of the R package you want to explore # Get details and citation for the R package package_details <- packageDescription("packageName") package_citation <- citation("packageName") # Print the package details and citation print(package_details) print(package_citation)

• The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("rnoaa") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.

• Package website: The rnoaa package has a dedicated website. You can visit: https://docs.ropensci.org/rnoaa/ (docs),https://github.com/ropensci/rnoaa (devel).

• Developer support: You can email Daniel Hocking . For contact information, visit our R community directory.

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