R nanocourse 1. Reproducible Workflow

Familiarize yourself with the RStudio environment, an integrated development environment using the R programming language as well as Markdown.

Thierry Warin https://www.nuance-r.com/principalInvestigator.html
05-23-2019

Introduction

In this first laboratory, you will familiarize yourself with the environment used for this course. All research projects are made with RStudio, an integrated development environment using the R programming language as well as Markdown. The goal of this course is to harness the power of data science tools for international business. In this regard, we promote reproducible research as our research method. In order to do so, RStudio, with documents written in Markdown, will be your main portal for doing your projects. You will learn a few syntax tips regarding Markdown and how to save your projects online (Git). Throughout the laboratory, useful tips will be either displayed in bold or in italics.

Goals

At the end of the lab, you should be able to:

  1. familiarize with the RStudio Integrated Development Environment
  2. create your first document in RStudio
  3. understand the Markdown syntax and knit your document
  4. synchronize your project with Git

Keywords: RStudio; Markdown; Git; reproducible research



ACCESS TO THE COURSE



Citation

For attribution, please cite this work as

Warin (2019, May 23). Virtual Campus: R nanocourse 1. Reproducible Workflow. Retrieved from https://virtualcampus.skemagloballab.io/posts/Rnanocourse1/

BibTeX citation

@misc{warin2019r,
  author = {Warin, Thierry},
  title = {Virtual Campus: R nanocourse 1. Reproducible Workflow},
  url = {https://virtualcampus.skemagloballab.io/posts/Rnanocourse1/},
  year = {2019}
}