R Project Template
Reproducible by default

Spin up a clean R project
in one click.

Name it, configure it, download it. You get a best-practice project skeleton — numbered pipeline, config.R, renv, Quarto report, Makefile, Docker, and tests — zipped and ready to extract. No setup script to run.

Build my project → See what's inside
✓ 100% in your browser ✓ Nothing uploaded ✓ data.table + tidyverse + sf ready

1 · Configure

Start from a preset
Identity
Type & packages
Core packages data.table is always loaded before tidyverse
Coordinate systems
Reproducibility & tooling
Extras
Custom config variables

Extra constants appended to config.R under # Custom ----.

Custom folders

Additional directories created in the project root (e.g. 04_docs/notes).

2 · Preview


        

        

          

        

        

          

        

        

          

        

      

    

  


  

    
A pipeline you can actually reproduce

    
Every project follows the same numbered flow — raw → clean → model → visualize → report.

    

      
01
Download
Pull raw data into 01_data/raw_data/ — never edited by hand.

      
→

      
02
Clean
Transform & tidy into 01_data/clean_data/.

      
→

      
03
Model
Analyse; save results to 03_outputs/tables/.

      
→

      
04
Visualize
Maps & figures to 03_outputs/figures/.

      
→

      
05
Report
One Quarto doc ties it all together.

    


    

      
🧭
here::here() paths
Robust relative paths that work no matter where a script is run from.

      
🔒
renv lockfile
Pin every package version so collaborators get the exact same environment.

      
🐳
Docker option
Pin the whole OS + R version with a rocker-based image for total reproducibility.

      
🎲
Seeded
set.seed() wired into config so stochastic steps are deterministic.

      
⚡
data.table first
Loaded before tidyverse so masking order is correct and joins stay fast.

      
✅
testthat + lint
Optional test scaffold and a styler/lintr config to keep code clean.

    


    

      
After you download

      
    
        
  1. Unzip into your projects folder.
    2. 
        
  2. Open project.Rproj in RStudio.
    3. 
        
  3. Run renv::restore() to install pinned packages.
    4. 
        
  4. Start with 02_scripts/01_download_data.R and work through the files in order.
    5.