r-novice-gapminder

R for Reproducible Scientific Analysis

https://github.com/swcarpentry/r-novice-gapminder

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary

Keywords

carpentries data-visualisation data-visualization data-wrangling english lesson programming r software-carpentry stable
Last synced: 4 months ago · JSON representation ·

Repository

R for Reproducible Scientific Analysis

Basic Info
Statistics
  • Stars: 171
  • Watchers: 22
  • Forks: 549
  • Open Issues: 37
  • Releases: 2
Topics
carpentries data-visualisation data-visualization data-wrangling english lesson programming r software-carpentry stable
Created over 10 years ago · Last pushed 4 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Authors Zenodo

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.

Current Maintainers:

Previous Maintainers:

Owner

  • Name: Software Carpentry
  • Login: swcarpentry
  • Kind: organization
  • Email: team@carpentries.org

Home for Software Carpentry repos for website, lessons and templates

Citation (CITATION)

Please cite as:

Naupaka Zimmerman, Greg Wilson, Raniere Silva, Scott Ritchie, François Michonneau, Jeffrey Oliver, … Yuka Takemon. (2019, July). swcarpentry/r-novice-gapminder: Software Carpentry: R for Reproducible Scientific Analysis, June 2019 (Version v2019.06.1). Zenodo. http://doi.org/10.5281/zenodo.3265164

GitHub Events

Total
  • Issues event: 8
  • Watch event: 8
  • Delete event: 28
  • Issue comment event: 35
  • Push event: 117
  • Pull request event: 43
  • Pull request review event: 13
  • Fork event: 12
  • Create event: 32
Last Year
  • Issues event: 8
  • Watch event: 8
  • Delete event: 28
  • Issue comment event: 35
  • Push event: 117
  • Pull request event: 43
  • Pull request review event: 13
  • Fork event: 12
  • Create event: 32

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 7
  • Total pull requests: 16
  • Average time to close issues: almost 2 years
  • Average time to close pull requests: 2 days
  • Total issue authors: 7
  • Total pull request authors: 7
  • Average comments per issue: 1.29
  • Average comments per pull request: 1.31
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 16
  • Average time to close issues: 7 days
  • Average time to close pull requests: 2 days
  • Issue authors: 5
  • Pull request authors: 7
  • Average comments per issue: 0.4
  • Average comments per pull request: 1.31
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
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  • carolbooth2 (1)
  • chenziru (1)
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  • sndaba (1)
  • kaijagahm (1)
  • tobyhodges (1)
  • andr3wli (1)
Pull Request Authors
  • carpentries-bot (25)
  • ndporter (2)
  • maneesha (2)
  • jsteyn (2)
  • kaijagahm (1)
  • skanwal (1)
  • bervelin-lumesa (1)
  • milanmlft (1)
  • cgross95 (1)
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  • isaac-jennings (1)
Top Labels
Issue Labels
help wanted (3) type:clarification (3) type:documentation (1) type:enhancement (1) status:in progress (1) type:bug (1) type:discussion (1) good first issue (1)
Pull Request Labels
type: package cache (19) type: template and tools (6)

Dependencies

requirements.txt pypi
  • CommonMark *
  • PyYAML *
  • pandocfilters *
  • update-copyright *
Gemfile rubygems
  • github-pages >= 0 development
  • webrick >= 1.6.1
.github/workflows/template.yml actions
  • actions/cache v2 composite
  • actions/checkout master composite
  • actions/setup-python v2 composite
  • r-lib/actions/setup-r v2 composite
  • ruby/setup-ruby v1 composite
.github/workflows/website.yml actions
  • actions/cache v2 composite
  • actions/checkout master composite
  • actions/setup-python v2 composite
  • r-lib/actions/setup-r v2 composite
  • ruby/setup-ruby v1 composite