How to simplify your statistical reports using R Markdown

Introduction

This course will be a practical introduction on how to create a reproducible workflow using R Markdown. The participants will see how they can create tidy reports merging R code and their conclusions. There will be data analysis exercises where reports will be written by the participants, showing them how to create their own reports.

This short course was a part of the scientific program of the Second Conference on Statistics and Data Science, on 18-20 November 2019.

You can cite this work using

@software{Nunes2019,
  author       = {Marcus Nunes},
  title        = {{mnunes/2nd-csds: How to simplify your statistical 
               reports using R Markdown}},
  month        = nov,
  year         = 2019,
  publisher    = {Zenodo},
  version      = {v1.2},
  doi          = {10.5281/zenodo.3549055},
  url          = {https://doi.org/10.5281/zenodo.3549055}
}

or

Marcus A. Nunes. (2019, November 20). mnunes/2nd-csds: How to simplify your statistical reports using R Markdown (Version v1.2). Zenodo. http://doi.org/10.5281/zenodo.3549055

Computer setup

You need to install the following software:

• R: https://cran.r-project.org/
• RStudio: https://www.rstudio.com/products/rstudio/download/
• If you're running Windows, you need to install Rtools
• Some packages either running source("https://raw.githubusercontent.com/mnunes/2nd-csds/master/setup.R") inside RStudio or clicking on https://github.com/mnunes/2nd-csds/blob/master/setup.R and copying and pasting its contents

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This short course was prepared by Marcus Nunes, Assistant Professor at Department of Statistics - UFRN.