https://github.com/oliviergimenez/reproducible-science

material for teaching reproducible science with R and RStudio
https://github.com/oliviergimenez/reproducible-science

git github rmarkdown sf tidyverse

Last synced: 3 months ago
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material for teaching reproducible science with R and RStudio

• Host: GitHub
• URL: https://github.com/oliviergimenez/reproducible-science
• Owner: oliviergimenez
• Created: 2020-12-17T20:18:05.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-21T11:01:42.000Z (over 3 years ago)
• Last Synced: 2024-04-23T07:06:20.066Z (7 months ago)
• Topics: git, github, rmarkdown, sf, tidyverse
• Homepage:
• Size: 23.4 KB
• Stars: 29
• Watchers: 5
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Reproducible science with R and RStudio

Here you will find the material I use to teach reproducible science with `R` and `RStudio`. This is an old repo, please check [this dedicated website](https://oliviergimenez.github.io/reproducible-science-workshop/) I maintain for a workshop on reproducible science I run for the lab.

* Introduction to `Git` and `GitHub` with `RStudio` [[slides](https://oliviergimenez.github.io/quick-intro-git-github-rstudio/#1)] [[material](https://github.com/oliviergimenez/quick-intro-git-github-rstudio)]

* Writing dynamic and reproducible documents with `R Markdown` [[slides](https://oliviergimenez.github.io/intro_rmarkdown/#1)] [[material](https://github.com/oliviergimenez/intro_rmarkdown)] [[practical](https://github.com/oliviergimenez/intro_rmarkdown_practical)] [[interactive dashboard](https://github.com/oliviergimenez/bias_occupancy)] [[website](https://www.youtube.com/watch?v=4OUEss2XF7E&t=1s)]

* Manipulate and visualise data in the `tidyverse` [[slides](https://oliviergimenez.github.io/intro_tidyverse/#1)] [[material](https://github.com/oliviergimenez/intro_tidyverse)] [[tips](https://oliviergimenez.github.io/tidyverse-tips/)]

* Focus on GIS and spatial data with `sf` package [[slides](https://oliviergimenez.github.io/intro_spatialR/#1)] [[material](https://github.com/oliviergimenez/intro_spatialR)]

To-do list:

* Write a general introduction to reproducible science; inspiration from this excellent [blog post](https://lgatto.github.io/open-and-rr-2/) and [slides](https://lgatto.github.io/2020_12_04_RSG_online/#1)

* Add practical sessions (like in the R Markdown session; pizza recipe example for GitHub)

* Add something on how to work with Word using [`redoc`](https://bookdown.org/yihui/rmarkdown-cookbook/word-redoc.html)

* Add something on [how to collaborate on Rmd documents](https://bookdown.org/yihui/rmarkdown-cookbook/google-drive.html)

* Check out this excellent [resource](https://psyteachr.github.io/msc-data-skills/)

     

* Introduce the concept of research compendium [[paper](https://peerj.com/preprints/3192v1/)] [[`rrtools` package](https://github.com/benmarwick/rrtools)]

* Improve the GitHub course with [this](https://inbo.github.io/git-course/course_rstudio.html), [this](https://ohshitgit.com/) and [that](https://privefl.github.io/R-presentation/rstudio-git.html#1)