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