software . 2019

ropensci/piggyback: piggyback: Managing Larger Data on a GitHub Repository

Boettiger, Carl; Hanson, Jeff; Krystalli, Anna; Balamuta, James J; Dervieux, Christophe;
Open Access
  • Published: 07 Feb 2019
  • Publisher: Zenodo
Abstract
<p><a href="https://www.tidyverse.org/lifecycle/#stable"></a> <a href="https://travis-ci.org/ropensci/piggyback"></a> <a href="https://codecov.io/github/ropensci/piggyback?branch=master"></a> <a href="https://ci.appveyor.com/project/cboettig/piggyback"></a> <a href="https://cran.r-project.org/package=piggyback"></a> <a href="https://github.com/ropensci/onboarding/issues/220"></a> <a href="https://zenodo.org/badge/latestdoi/132979724"></a></p> <p>Because larger (&gt; 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by ...
Subjects
ACM Computing Classification System: GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2019
Provider: Datacite
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