quarto_ws

From Script to Document: Reproducible Research with Quarto

KKP & KKCS Spring Professional Meeting — Crop Production and Horticulture

📅 April 29, 2026 (Wednesday) · 📍 Gödöllő, Hungary · ⏱️ ~1.5 hours

About

Are you tired of copy-pasting tables and figures from R into Word? In this workshop, you will learn how to use Quarto to create fully reproducible documents that integrate your analysis, visualizations, and text — all in a single file.

What we cover:

Why reproducibility matters (for any software, not just R)
Anatomy of a .qmd file: YAML + Markdown + Code
Tables, figures, cross-references, and inline code
Practical tips: automatic model equations, publication-ready tables
One file → many outputs: HTML, PDF, Word, slides
Brief Python integration demo

No prior experience with Quarto or R Markdown is needed.

Workshop Materials

File	Description
`01_slides_quarto_ws.qmd`	Presentation slides (revealjs)
`02_my_first_quarto.qmd`	Follow-along document for the hands-on session
`custom.scss`	Slide theme
🌐 View slides online	Rendered HTML (after publishing)
🌐 View exercise online	Rendered HTML (after publishing)

Pre-Workshop Setup

Please complete these steps BEFORE the workshop. It takes about 15 minutes. If you run into issues, bring your laptop and we’ll troubleshoot together.

1. Install R

Download from https://cran.r-project.org/

Windows: “Download R for Windows” → “base” → download .exe
macOS: “Download R for macOS” → choose your chip (Apple Silicon or Intel)

Version 4.3 or newer recommended. Check yours: R.version.string

2. Install RStudio

Download from https://posit.co/download/rstudio-desktop/ (free Desktop version)

3. Verify Quarto works

Quarto comes bundled with RStudio (2022.07+). Test it:

Open RStudio
File → New File → Quarto Document
Title: “Test”, Author: your name, Format: HTML
Click Render (or Ctrl + Shift + K)

If a rendered HTML appears — you’re ready! ✅

If Render fails, try to install Quarto CLI separately from https://quarto.org/docs/get-started/

4. Install R packages

Open RStudio and run in the console:

install.packages("ggplot2")

That’s the only package needed for the hands-on session. The slides use additional packages (gt, equatiomatic, broom, report) but you don’t need to install those — they’re for demonstration only.

What to bring

Your laptop (with R + RStudio installed)
A charger
Curiosity 🔬

Some resources

Author

Yuri Gelsleichter · MATE, Gödöllő · 📧 Gelsleichter.Yuri.Andrei@uni-mate.hu · 🔗 github.com/Gelsleichter