website

Website for R Stats Bootcamp

https://github.com/rstats-bootcamp/website

Science Score: 67.0%

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

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 2 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Website for R Stats Bootcamp

Basic Info

Host: GitHub
Owner: rstats-bootcamp
License: mit
Language: JavaScript
Default Branch: main
Size: 30.6 MB

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Stars: 0
Watchers: 0
Forks: 0
Open Issues: 0
Releases: 0

Created over 3 years ago · Last pushed 9 months ago

Metadata Files

Readme License Citation

R Stats Bootcamp

Harris, W. E. (2022). R Stats Bootcamp: A Self-Paced Course for Learning R Programming and Statistical Analysis. URL: https://rstats-bootcamp.github.io/website/ Github: https://github.com/rstats-bootcamp/website

A self-paced course for learning R programming, statistical analysis, and reproducible research practices.

🎯 What You'll Learn

Module 1: R scripting and RStudio interface for beginners
Module 2: Simple data analysis with R
Module 3: Reproducible code, R Markdown, and GitHub

🚀 Quick Start

Visit the course: rstats-bootcamp.github.io
Install R & RStudio (see Module 1 for setup instructions)
Start with Module 1 and work through sequentially
Join our Slack community for support and discussion

👥 Who This Is For

Designed for research students and staff interested in using the R Programming language to analyze data. Accessible to anyone new to R programming and statistics.

📋 Prerequisites

No prior programming experience required
Computer with internet access
Willingness to learn through hands-on practice

🎓 Learning Approach

Self-paced with built-in assessments
Practical focus - learning by doing, not reference material
Sequential design - each module builds on the previous
Community support available through Slack

📄 License

MIT License - see LICENSE for details

Get started today: Course Website

Owner

Name: R Stats Bootcamp
Login: rstats-bootcamp
Kind: organization
Location: United Kingdom

Website: https://rstats-bootcamp.github.io/website/
Repositories: 1
Profile: https://github.com/rstats-bootcamp

Dedicated to building skills in R programming and statistics

Citation (CITATION.cff)

cff-version: 1.0.0
message: "If you use this software, please cite it as below."
title: "R Stats Bootcamp"
abstract: "A self-paced course for learning R programming, statistical analysis, and reproducible research practices. Designed for beginners with modules covering R scripting, RStudio interface, data analysis fundamentals, and reproducible research workflows using R and GitHub."
authors:
- family-names: "Harris"
  given-names: "W. E."
  orcid: "https://orcid.org/0000-0002-9038-8656"
title: "R Stats Bootcamp"
version: 2022.1.0
doi: 10.5281/zenodo.10853602
date-released: 2022-08-01
url: "https://rstats-bootcamp.github.io/website/"
license: MIT
keywords:
  - R programming
  - statistics
  - data analysis
  - reproducible research
  - educational materials
  - self-paced learning
  - RStudio
  - R Markdown
  - GitHub
preferred-citation:
  type: misc
  authors:
  - family-names: "Harris"
    given-names: "W. E."
    orcid: "https://orcid.org/0000-0002-9038-8656"
    affiliation: "Centre for Agricultural Data Science, Harper Adams University"
  title: "R Stats Bootcamp: A Self-Paced Course for Learning R Programming and Statistical Analysis"
  year: 2022  # Update to your publication year
  url: "https://rstats-bootcamp.github.io/website/"
  doi: "10.5281/zenodo.10853602"
  publisher: "Centre for Agricultural Data Science, Harper Adams University"
  notes: "Open educational resource for learning R programming, statistical analysis, and reproducible research practices"

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