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-**Lightning talks** (10 min, Thursday June 12 or Friday June 13) Must pre-record and be live on chat to answer questions
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-**Regular talks** (20 min, Thursday June 12 or Friday June 13) Must pre-record and be live on chat to answer questions
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-**Demos** (1 hour demo of an approach or a package, Tuesday June 10 or Wednesday June 11) Done live, preferably interactive
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-**Workshops** (2-3 hours on a topic, Tuesday June 10 or Wednesday June 11) Usually with a website and a repo, participants can choose to code along, include 5-10 min breaks each hour.
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-**Workshops** (2-3 hours on a topic, Tuesday June 10 or Wednesday June 11) Detailed instruction on a topic, usually with a website and a repo, participants can choose to code along, include 5-10 min breaks each hour.
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An abstract proposal should describe a presentation of methodology, a study or project, or an example or case study relevant to one (or more) of our fields of interest, with R-based tools having a substantial role in the work. The content of the presentation should be of interest to the R/Medicine community.
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An abstract proposal should describe a presentation of methodology, a study or project, or an example or case study relevant to one (or more) of our fields of interest, with R-based tools having a substantial role in the work. The content of the presentation should be of interest to the R/Medicine community.
<li><ahref="#submission-is-now-open" id="toc-submission-is-now-open" class="nav-link" data-scroll-target="#submission-is-now-open">Submission is now open!</a></li>
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<li><ahref="#dates-to-remember" id="toc-dates-to-remember" class="nav-link" data-scroll-target="#dates-to-remember">Dates to Remember</a></li>
<li><strong>Lightning talks</strong> (10 min, Thursday June 12 or Friday June 13) Must pre-record and be live on chat to answer questions</li>
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<li><strong>Regular talks</strong> (20 min, Thursday June 12 or Friday June 13) Must pre-record and be live on chat to answer questions</li>
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<li><strong>Demos</strong> (1 hour demo of an approach or a package, Tuesday June 10 or Wednesday June 11) Done live, preferably interactive</li>
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<li><strong>Workshops</strong> (2-3 hours on a topic, Tuesday June 10 or Wednesday June 11) Usually with a website and a repo, participants can choose to code along, include 5-10 min breaks each hour.</li>
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<li><strong>Workshops</strong> (2-3 hours on a topic, Tuesday June 10 or Wednesday June 11) Detailed instruction on a topic, usually with a website and a repo, participants can choose to code along, include 5-10 min breaks each hour.</li>
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</ul>
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<p>An abstract proposal should describe a presentation of methodology, a study or project, or an example or case study relevant to one (or more) of our fields of interest, with R-based tools having a substantial role in the work. The content of the presentation should be of interest to the R/Medicine community.</p>
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<p>An abstract proposal should describe a presentation of methodology, a study or project, or an example or case study relevant to one (or more) of our fields of interest, with R-based tools having a substantial role in the work. The content of the presentation should be of interest to the R/Medicine community.</p>
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</section>
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<sectionid="dates-to-remember" class="level3">
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<h3class="anchored" data-anchor-id="dates-to-remember">Dates to Remember</h3>
<li><ahref="#promover-la-equidad-científica-una-introducción-al-uso-de-r-para-la-programación-en-bioestadística-y-ciencia-de-datos-en-español." id="toc-promover-la-equidad-científica-una-introducción-al-uso-de-r-para-la-programación-en-bioestadística-y-ciencia-de-datos-en-español." class="nav-link" data-scroll-target="#promover-la-equidad-científica-una-introducción-al-uso-de-r-para-la-programación-en-bioestadística-y-ciencia-de-datos-en-español.">Promover la Equidad Científica: Una Introducción al uso de R para la programación en Bioestadística y Ciencia de Datos, en Español.</a></li>
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<li><ahref="#demystifying-llms-with-ellmer" id="toc-demystifying-llms-with-ellmer" class="nav-link" data-scroll-target="#demystifying-llms-with-ellmer">Demystifying LLMs with Ellmer</a></li>
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<li><ahref="#r-package-development-with-github-pages-and-pkgdown" id="toc-r-package-development-with-github-pages-and-pkgdown" class="nav-link" data-scroll-target="#r-package-development-with-github-pages-and-pkgdown">R package development with GitHub Pages and <code>pkgdown</code></a></li>
<p><ahref="https://global.fiu.edu/world-centers/world-center-colombia/fulbrighters/catalina-canizares-escobar.html">Catalina Cañizares</a> es una científica de datos apasionada y candidata Ph.D. en trabajo social. Ella se dedidca al uso de datos para obtener información sobre los trastornos emocionales. Ha estado profundizando en el análisis de datos, especialmente con R y su enfoque es hacer que los datos sean comprensibles y útiles. Se especializo en limpiar y fusionar datos, y le encanta explorar datos con herramientas como tidyverse, table1, gtsummary y skimr, entre otras. También se interesa utilizar modelos de Machine Learning, con el paquete tidymodels, para comprender mejor los trastornos emocionales.</p>
<p><ahref="https://focardozom.github.io/">Francisco Cardozo</a> es un candidato a PhD en Ciencias de las Prevención y Salud Comunitaria, se especializa en aplicar técnicas cuantitativas para evaluar la eficacia de programas de prevención, centrándose en entender la dinámica de cómo y para quién estos programas son más efectivos. Está dedicado a desarrollar mediciones y análisis que informen decisiones sobre cómo operar los programas. Francisco siente pasión por traducir hallazgos científicos en aplicaciones prácticas.</p>
<h2class="anchored" data-anchor-id="r-package-development-with-github-pages-and-pkgdown">R package development with GitHub Pages and <code>pkgdown</code></h2>
<p>Creating clear, professional documentation is key to making your R package useful to other people, but building a documentation website can be tricky. The <code>pkgdown</code> package makes this process much easier, but deploying via GitHub Pages can present its own set of challenges, especially if you want a highly customized website.</p>
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<p>In this workshop, we’ll build a simple R package together, and use GitHub Actions and GitHub Pages to create a <code>pkgdown</code> documentation website for the package. By the end of this workshop, you’ll have:</p>
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<ul>
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<li>🌎 Your package available on GitHub for others to install</li>
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<li>📄 A polished <code>pkgdown</code> website for your package, deployed via GitHub Pages</li>
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<li>🎨 An understanding of how to customize the trickier components of <code>pkgdown</code> websites</li>
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</ul>
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<p>Workshop participants should have experience using Git, but don’t need prior experience with GitHub Actions or pkgdown.</p>
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<p><em>Note that this workshop requires access to an OpenAI/Anthropic API key. Participants have the option to obtain their own (credit card required, will incur small fee during workshop (<<1USD) but will retain long-term access) or to provide their email in advance to receive one from the workshop host</em></p>
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</section>
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</div><divclass="column" style="width:10%;">
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<!-- empty column to create gap -->
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</div><divclass="column" style="width:45%;">
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<sectionid="melissa-van-bussel" class="level3">
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<h3class="anchored" data-anchor-id="melissa-van-bussel">Melissa Van Bussel</h3>
<p>Melissa Van Bussel is a Senior Data Analyst at Statistics Canada, where she develops and delivers training about open-source languages and tools. She also helps run a large R and Python User Group at Statistics Canada. Outside of work, she creates <ahref="https://youtube.com/c/ggnot2">educational videos on YouTube (<spanclass="citation" data-cites="ggnot2">@ggnot2</span>)</a> about R and data science, and is an organizer for <ahref="https://meetup.com/rladies-ottawa">R-Ladies Ottawa</a>. Melissa is an <ahref="https://ssc.ca/en/accreditation">Accredited Associate Statistician</a>, and received her M. Sc. in Statistics from Carleton University and has a B. Sc. H. in Mathematics and Computing Systems from Trent University.</p>
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</section>
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</div>
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</div>
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<hr>
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</section>
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</section>
@@ -319,8 +347,8 @@ <h1>Demos</h1>
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<h2class="anchored" data-anchor-id="quarto-dashboards-from-zero-to-publish-in-one-hour">Quarto Dashboards: from zero to publish in one hour</h2>
<p>You already analyze and summarize your data with R and Quarto. What’s next? You can share your insights or allow others to make their own conclusions in eye-catching dashboards and straight-forward to author, design, and deploy Quarto Dashboards. With Quarto Dashboards, you can create elegant and production-ready dashboards using a variety of components, including static graphics, interactive widgets, tabular data, value boxes, text annotations, and more. Additionally, with intelligent resizing of components, your Quarto Dashboards look great on devices of all sizes. And importantly, you can author Quarto Dashboards without leaving the comfort of your “home” – in plain text markdown with any text editor. In this one-hour demo we will build and publish a Quarto Dashboard – you can code-along or sit back and enjoy the show!</p>
[Catalina Cañizares](https://global.fiu.edu/world-centers/world-center-colombia/fulbrighters/catalina-canizares-escobar.html) es una científica de datos apasionada y candidata Ph.D. en trabajo social. Ella se dedidca al uso de datos para obtener información sobre los trastornos emocionales. Ha estado profundizando en el análisis de datos, especialmente con R y su enfoque es hacer que los datos sean comprensibles y útiles. Se especializo en limpiar y fusionar datos, y le encanta explorar datos con herramientas como tidyverse, table1, gtsummary y skimr, entre otras. También se interesa utilizar modelos de Machine Learning, con el paquete tidymodels, para comprender mejor los trastornos emocionales.
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@@ -176,6 +176,39 @@ Joe Cheng is the CTO of Posit, PBC. He's the original creator of the Shiny web f
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## R package development with GitHub Pages and `pkgdown`
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:::::: columns
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::: {.column width="45%"}
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### Description
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Creating clear, professional documentation is key to making your R package useful to other people, but building a documentation website can be tricky. The `pkgdown` package makes this process much easier, but deploying via GitHub Pages can present its own set of challenges, especially if you want a highly customized website.
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In this workshop, we’ll build a simple R package together, and use GitHub Actions and GitHub Pages to create a `pkgdown` documentation website for the package. By the end of this workshop, you’ll have:
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* 🌎 Your package available on GitHub for others to install
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* 📄 A polished `pkgdown` website for your package, deployed via GitHub Pages
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* 🎨 An understanding of how to customize the trickier components of `pkgdown` websites
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Workshop participants should have experience using Git, but don’t need prior experience with GitHub Actions or pkgdown.
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*Note that this workshop requires access to an OpenAI/Anthropic API key. Participants have the option to obtain their own (credit card required, will incur small fee during workshop (<<1USD) but will retain long-term access) or to provide their email in advance to receive one from the workshop host*
Melissa Van Bussel is a Senior Data Analyst at Statistics Canada, where she develops and delivers training about open-source languages and tools. She also helps run a large R and Python User Group at Statistics Canada. Outside of work, she creates [educational videos on YouTube (@ggnot2)](https://youtube.com/c/ggnot2) about R and data science, and is an organizer for [R-Ladies Ottawa](https://meetup.com/rladies-ottawa). Melissa is an [Accredited Associate Statistician](https://ssc.ca/en/accreditation), and received her M. Sc. in Statistics from Carleton University and has a B. Sc. H. in Mathematics and Computing Systems from Trent University.
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