abstract for Psychoco 2026

.Rbuildignore

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 ^cran-comments\.md$
 ^CRAN-SUBMISSION$
 inst/user2025
+inst/Psychoco2026
 #inst/tinytest/
 Makefile
 ^.devcontainer

inst/Psychoco2026/README.md

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+## tinyplot: Lightweight Extension of the Base R Graphics System
+
+_Grant McDermott, Vincent Arel-Bundock, Achim Zeileis_
+
+**Presented at:** Psychoco 2026 - International Workshop on Psychometric Computing, Università di Padova, Italy, February 5-6.
+
+**PDF slides:** <https://www.zeileis.org/papers/Psychoco-2026.pdf>
+
+**Abstract:**
+
+The base R graphics system provides a lot of powerful infrastructure for drawing
+data visualizations. At the core is the `plot()` generic function with its
+default and formula methods. The default method can handle many basic plotting
+elements (points, lines, etc.) and the formula method flexibly handles various
+`y ~ x` setups including scatterplots (numeric `y` vs. numeric `x`), boxplots
+(numeric `y` vs. categorical `x`), and spineplots/spinograms (categorical `y`).
+Moreover, there are many elements that can be added like legends, axes,
+annotation, grids of displays, etc.
+
+However, based on this powerful infrastructure base R provides only rather
+limited convenience features such as those pioneered by newer (`grid`-based)
+visualization packages like `ggplot2` and `lattice`, e.g., grouped plots with
+automatic legends and/or facets, advanced visualization types, and easy
+customization via ready-made themes.
+
+The `tinyplot` package fills this gap by providing a lightweight extension of
+the base R graphics system. It aims to preserve the strengths of the base R
+infrastructure (including the formula-based interface) while adding the
+convenience features above without requiring (strong) non-base dependencies.
+The presentation provides an introduction to `tinyplot` using various
+visualization examples, highlighting strengths and weaknesses compared to other
+packages. The package is available from CRAN
+(<https://doi.org/10.32614/CRAN.package.tinyplot>) and has many more galleries
+and tutorials at <https://grantmcdermott.com/tinyplot/>.
+
+**Notes:**
+
+- The source file for the PDF slides is `slides-beamer.qmd`. This requires that
+  the [UIBK beamer class](https://git.uibk.ac.at/uibklatex/beamer_letter) is installed.
+- As an alternative a similar HTML version of the slides can be created from
+  `slides-revealjs.qmd`.

inst/Psychoco2026/_extensions/grantmcdermott/clean/_extension.yml

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+title: clean
+author: Grant McDermott
+version: 1.3.0
+quarto-required: ">=1.3.0"
+contributes:
+  formats:
+    revealjs:
+      theme: [default, clean.scss]
+      menu:
+        side: left
+      slide-number: true
+      date-format: long
+