https://github.com/datacarpentry/r-socialsci

R for Social Scientists
https://github.com/datacarpentry/r-socialsci

carpentries data-carpentry data-visualisation data-visualization data-wrangling english lesson r social-sciences stable

Last synced: 18 days ago
JSON representation

R for Social Scientists

• Host: GitHub
• URL: https://github.com/datacarpentry/r-socialsci
• Owner: datacarpentry
• License: other
• Created: 2017-05-25T16:07:33.000Z (almost 9 years ago)
• Default Branch: main
• Last Pushed: 2026-03-03T00:34:09.000Z (26 days ago)
• Last Synced: 2026-03-03T03:41:53.671Z (26 days ago)
• Topics: carpentries, data-carpentry, data-visualisation, data-visualization, data-wrangling, english, lesson, r, social-sciences, stable
• Language: R
• Homepage: https://datacarpentry.org/r-socialsci/
• Size: 224 MB
• Stars: 138
• Watchers: 13
• Forks: 217
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION
  • Authors: AUTHORS
  • Zenodo: .zenodo.json

Awesome Lists containing this project

README

          
[![Build Status](https://travis-ci.org/datacarpentry/r-socialsci.svg?branch=master)](https://travis-ci.com/github/datacarpentry/r-socialsci)

[![Create a Slack Account with us](https://img.shields.io/badge/Create_Slack_Account-The_Carpentries-071159.svg)](https://slack-invite.carpentries.org/)

[![Slack Status](https://img.shields.io/badge/Slack_Channel-dc--socsci--r-E01563.svg)](https://carpentries.slack.com/messages/C9X9JDTSR)

[![DOI](https://zenodo.org/badge/92420906.svg)](https://zenodo.org/badge/latestdoi/92420906)

# r-socialsci

Lesson on R for social scientists. Please see [https://datacarpentry.org/r-socialsci/](https://datacarpentry.org/r-socialsci/) for a rendered version of this lesson.

This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). The lessons cover some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting.

The [instructor notes page](https://datacarpentry.org/r-socialsci/guide/index.html) have some tips about how to best teach this workshop.

Maintainers:

- [Juan Fung](https://github.com/juanfung)

- [Eirini Zormpa](https://github.com/eirini-zormpa)

- [Jesse Sadler](https://github.com/jessesadler)