Datasets.load: Difference between revisions

Revision as of 13:16, 27 April 2020

Revision as of 06:25, 30 April 2020

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| website = {{URL|https://cran.r-project.org/package=datasets.load}}

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'''datasets.load''' is an R package and [[RStudio]] plugin, that provides both a [[Graphical User Interface]] (GUI), as well as a [[Command Line Interface]] for loading datasets.<ref>{{Citation|last=Quast|first=Bastiaan|title=datasets.load: Interfaces for Loading Datasets|date=2019-12-12|url=https://cran.r-project.org/package=datasets.load|volume=|pages=|archive-url=https://web.archive.org/web/2020010310584320200430061643/https://cran.r-project.org/web/packages/datasets.load/index.html|access-date=2020-0104-0330|archive-date=2020-0104-0330}}</ref> Normally, R only makes visible datasets of packages that are loaded, '''datasets.load''' shows the list of all installed datasets on the local library, including datasets included with packages that are not loaded. It is one of the top 10% of most downloaded R packages.

== R datasets ==

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== Reception ==

The initial release on CRAN of version 0.1.0 took place in December 2016, and averaged a download rate of 1,000 times per month, from the RStudio servers alone. With the release of version 0.3.0 in 2018, the download rate increased to 2,000 times per month, putting the package in the 9th percentile of most popular R packages.<ref>{{Citation|last=Quast|first=Bastiaan|title=Tools for viewing datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load|date=2020-01-04|url=https://github.com/bquast/datasets.load|volume=|pages=|archive-url=https://web.archive.org/web/2020010412402120200430062344/https://github.com/bquast/datasets.load/releases|access-date=2020-01-04-30|archive-date=2020-01-04-30}}</ref> The package was reviewed in the 2017 article "R Packages worth a look" on Data Analytics & R<ref>{{Cite news|url=https://advanceddataanalytics.net/2017/01/05/r-packages-worth-a-look-667/|title=R Packages worth a look|last=Laux|first=Michael|date=2017-01-05|work=Data Analytics & R|access-date=2020-01-03|url-status=live|archive-url=https://web.archive.org/web/20200103104538/https://analytixon.com/2017/01/05/r-packages-worth-a-look-667/|archive-date=2020-01-03|language=en-US}}</ref>, which further increased usage. It is also frequently preinstalled on university computers<ref>{{Cite web|url=https://wiki.carleton.edu/display/itskb/R+packages+installed|title=R packages installed - ITS - Carlpedia - Carleton College Wiki|last=|first=|date=|website=wiki.carleton.edu|url-status=live|archive-url=https://web.archive.org/web/20200103104913/https://wiki.carleton.edu/display/itskb/R+packages+installed|archive-date=2020-01-03|access-date=2020-01-03}}</ref>, in order to help make R more accessible to students.

Version 1.0.0 was released on 12 December 2019<ref>{{Citation|last=Quast|first=Bastiaan|title=Tools for viewing datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load|date=2020-01-03|url=https://github.com/bquast/datasets.load|volume=|pages=|access-date=2020-01-03}}</ref>.