Git Product home page Git Product logo

reproducibleresearchrstudio's Introduction

Introduction to Reproducible Research with RStudio

Training materials for the Open Science Workshop, Nairobi.

Setting Up

In this training, we will use a web-based RStudio interface that is fully set up. The instructions here are provided for those participants who need to set up their own PCs.

Download the programs from the following websites:

  1. Install R:: http://www.r-project.org/
  2. Install RStudio: https://www.rstudio.com/products/rstudio/download/

NB: Install R before installing RStudio.

Project Structure

The project folders are set up as follows:

  • Data: Contains files we will need for analysis
  • Practice: Contains practice and discussion exercise
  • Figures: Figures generated by the code will be stored here
  • Presentations: Workshop presentation files

Content

  1. Introduction to reproducibility with RStudio [Presentation, Markdown]

License

All content of this repo is released under the CC-BY 4.0 license

reproducibleresearchrstudio's People

Contributors

kipkurui avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.