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One4All: Validate, Share, and Download Data
Designed to enhance data validation and management processes by employing a set of functions that read a set of rules from a 'CSV' or 'Excel' file and apply them to a dataset. Funded by the National Renewable Energy Laboratory and Possibility Lab, maintained by the Moore Institute for Plastic Pollution Research.
Getting started
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Package details |
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| Author | Hannah Sherrod [cre, aut] (<https://orcid.org/0009-0001-0497-8693>), Nick Leong [aut] (<https://orcid.org/0009-0008-3313-4132>), Hannah Hapich [aut] (<https://orcid.org/0000-0003-0000-6632>), Fabian Gomez [aut], Shelly Moore [aut], Win Cowger [aut] (<https://orcid.org/0000-0001-9226-3104>), Scott Coffin [ctb], Tony Hale [ctb], Diana Lin [ctb], Gemma Shusterman [ctb], Rebecca Sutton [ctb], Adam Wong [ctb], Haig Minasian [ctb], Holden Ford [ctb], Anja Oca [ctb], Richard Nelson [ctb], Leah Thornton Hampton [ctb], Libby Heeren [ctb], Gabriel Daiess [ctb] |
| Maintainer | Hannah Sherrod <hannah@mooreplasticresearch.org> |
| License | MIT + file LICENSE |
| Version | 0.5 |
| URL | https://github.com/Moore-Institute-4-Plastic-Pollution-Res/One4All https://moore-institute-4-plastic-pollution-res.github.io/One4All/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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