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Yohann Mansiaux @yosky.bsky.social · 13/11/2024

🔈Ready for new adventures in data science and development after 2 transformative years at ThinkR! I’m a committed developer passionate about best practices and teaching, training diverse groups in data science, Git, and Shiny. 🌱 Let’s connect! See my work: ymansiaux.github.io/yohann-data/ #rstats

lnkd.in

This link will take you to a page that’s not on LinkedIn

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Yohann Mansiaux @yosky.bsky.social · 13/11/2024

In my latest blog post, I look back at how I've been using Github Copilot over the past few months, and how it's simplified my daily life. I also review my use of ChatGPT and other GPTs to consider when developing in R. Enjoy ! 😊 ymansiaux.github.io/yohann-data/... #Rstats #Copilot #ChatGPT #AI

ymansiaux.github.io

How Github Copilot and ChatGPT have changed my life as an R developer – Yohann’s blog

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Yohann Mansiaux @yosky.bsky.social · 06/11/2024

Didn't have time to read my latest article on adding data to a package? Don't worry, I prepared a short video to sum it all up: youtu.be/tYthk0NjiRQ Enjoy 🍿 #Rstats #package

youtu.be

Include a demo dataset into an R package

YouTube video by ThinkR Rstats

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Reposted by Yohann Mansiaux

Nicola Rennie @nrennie.bsky.social · 29/10/2024

Prefer to store Quarto parameters in a separate .yml file? Unfortunately, passing the .yml file directly only works in command line, and not in the `execute_params` arg of `quarto_render()`. Solution: the `yaml.load_file()` function! #RStats #QuartoPub

Image of code:
quarto::quarto_render(
input = "report.qmd",
execute_params = yaml::yaml.load_file("params.yml")
)

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Yohann Mansiaux @yosky.bsky.social · 30/10/2024

You think that some of the components of shiny are not very functional or downright austere? Are you looking to implement some feature in your app but it is not available in the shiny toolbox? I show you how to use the sweetalert2 JS library into your apps ! rtask.thinkr.fr/pimping-your... #Rstats

rtask.thinkr.fr

Pimping your shiny app with a JavaScript library : an example using sweetalert2 - Rtask

The R task Force - R experts for all your needs

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Reposted by Yohann Mansiaux

Jeremy Allen @jeremy-data.bsky.social · 26/10/2024

My fav starter packs so far, a thread: stats: go.bsky.app/Ki7PjpS stats: go.bsky.app/7TBN5rX causal inference: go.bsky.app/FdemGAZ package devs: go.bsky.app/N1569Qh data peeps: go.bsky.app/8TdEfdK medical stats: go.bsky.app/ArqEz36 bioinformatics: go.bsky.app/Ha64Gmv r-ladies: go.bsky.app/Vgxwa2F

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Yohann Mansiaux @yosky.bsky.social · 30/10/2024

As package developers, we often focus on custom functions, their documentation, and unit testing. To provide a more complete user experience, it can be helpful to include data within the package. Here’s everything you need to know! rtask.thinkr.fr/beyond-funct... #RStats #package

rtask.thinkr.fr

Beyond Functions: How to Enrich an R Package with Data - Rtask

The R task Force - R experts for all your needs

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Yohann Mansiaux @yosky.bsky.social · 30/10/2024

Shiny is not just an R package; it's a gateway to the world of web dev! By leveraging technologies like JavaScript, Shiny applications can be transformed into truly interactive and modern experiences. Let’s dive into the world of dataviz with Chart.JS ! rtask.thinkr.fr/boost-your-s... #Rstats

rtask.thinkr.fr

Boost your shiny app with sparkling data visualizations: a deep dive into Chart.js JavaScript library - Rtask

The R task Force - R experts for all your needs

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