Science Score: 23.0%

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    44 of 221 committers (19.9%) from academic institutions
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    Low similarity (10.3%) to scientific vocabulary

Keywords from Contributors

english lesson stable carpentries data-carpentry geospatial-data data-wrangling open-educational-resources ecology metagenomics
Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: fmichonneau
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 30.3 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 6 years ago · Last pushed almost 6 years ago
Metadata Files
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README.md

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R for Reproducible Scientific Analysis

An introduction to R for non-programmers using the Gapminder data. Please see https://swcarpentry.github.io/r-novice-gapminder for a rendered version of this material, the lesson template documentation for instructions on formatting, building, and submitting material, or run make in this directory for a list of helpful commands.

The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop focuses on the fundamentals of the programming language R, and not on statistical analysis.

The lesson contains more material than can be taught in a day. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

Maintainers:

Owner

  • Name: François Michonneau
  • Login: fmichonneau
  • Kind: user
  • Company: Solutions Engineer @posit-dev

Solutions Engineer @posit-dev

GitHub Events

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  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: almost 2 years ago

All Time
  • Total Commits: 1,561
  • Total Committers: 221
  • Avg Commits per committer: 7.063
  • Development Distribution Score (DDS): 0.877
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Greg Wilson g****n@s****g 192
Raniere Silva r****e@r****m 164
François Michonneau f****u@g****m 143
Scott Ritchie s****3@g****m 114
Naupaka Zimmerman n****a@g****m 84
Pip Griffin p****n@g****m 51
Maxim Belkin m****n@g****m 39
Harriet Dashnow h****w@g****m 35
Andy Teucher a****r@g****m 29
Tom Wright t****m@m****m 28
Vince Polito v****3@g****m 25
Abigail Cabunoc Mayes a****c@g****m 25
Andy Boughton a****t@g****m 23
Katrin Leinweber 9****r 22
Mateusz Kuzak m****k@g****m 19
Jeffrey Oliver j****r@e****u 18
Timothy Rice t****e@m****u 15
Robert McDonald r****4@g****m 14
Aaron O'Leary a****y@g****m 14
Bill Mills m****j@g****m 12
Rémi Emonet r****i@h****m 11
David Mawdsley d****y@m****k 10
Karl Broman k****n@g****m 10
Remi Daigle r****e@d****a 10
Noel Faux n****x@u****u 9
Sam Penrose s****e@m****m 9
W. Trevor King w****g@t****s 9
Andy Boughton p****t@g****m 8
Clare Sloggett c****t@g****m 8
Chris Erdmann c****s@c****g 8
and 191 more...

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

.github/workflows/template.yml actions
  • actions/cache v1 composite
  • actions/checkout master composite
  • actions/setup-python v2 composite
  • actions/setup-ruby main composite
  • r-lib/actions/setup-r master composite
requirements.txt pypi
  • CommonMark *
  • PyYAML *
  • pandocfilters *
  • update-copyright *