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51 results for “Drmowinckels”
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@Drmowinckels talking about #packagedevelopment and #opensourcesoftware at #positconf2023 - it's a magical talk ✨🙌
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@willbush @lwpembleton @danwwilson
@rmflight @jimgar @Drmowinckels @gavin @grrrck @adamhsparks @defuneste @danwwilson @Lluis_Revilla @njtierney @jimjamslam @milesmcbain @djnavarroLate to the party - here's my setup; home is my office. The dual deck audio cassette drive and turntable are for gradually transferring my old audio recordings onto the NAS.
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@willbush @lwpembleton @danwwilson
@rmflight @jimgar @Drmowinckels @gavin @grrrck @adamhsparks @defuneste @danwwilson @Lluis_Revilla @njtierney @jimjamslam @milesmcbain @djnavarroLate to the party - here's my setup; home is my office. The dual deck audio cassette drive and turntable are for gradually transferring my old audio recordings onto the NAS.
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@willbush @lwpembleton @danwwilson
@rmflight @jimgar @Drmowinckels @gavin @grrrck @adamhsparks @defuneste @danwwilson @Lluis_Revilla @njtierney @jimjamslam @milesmcbain @djnavarroLate to the party - here's my setup; home is my office. The dual deck audio cassette drive and turntable are for gradually transferring my old audio recordings onto the NAS.
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@willbush @lwpembleton @danwwilson
@rmflight @jimgar @Drmowinckels @gavin @grrrck @adamhsparks @defuneste @danwwilson @Lluis_Revilla @njtierney @jimjamslam @milesmcbain @djnavarroLate to the party - here's my setup; home is my office. The dual deck audio cassette drive and turntable are for gradually transferring my old audio recordings onto the NAS.
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@willbush @lwpembleton @danwwilson
@rmflight @jimgar @Drmowinckels @gavin @grrrck @adamhsparks @defuneste @danwwilson @Lluis_Revilla @njtierney @jimjamslam @milesmcbain @djnavarroLate to the party - here's my setup; home is my office. The dual deck audio cassette drive and turntable are for gradually transferring my old audio recordings onto the NAS.
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#Rstats tip of the day:
I'm working on a series of #QuartoLive Tutorials (transforming learnr tutorials).
To use packages in the tutorial you add these labels on your YAML and list the packages:
webr:
packages:
- ggplot2
- gapminder
- dplyrWhere can you find WebAssembly versions of your favorite R packages?
In @rOpenSci R-Universe!
For example, if I need @Drmowinckels awesome ggseg my YAML looks like this:webr:
packages:
- ggseg
repos:
- https://ggseg.r-universe.dev -
#Rstats tip of the day:
I'm working on a series of #QuartoLive Tutorials (transforming learnr tutorials).
To use packages in the tutorial you add these labels on your YAML and list the packages:
webr:
packages:
- ggplot2
- gapminder
- dplyrWhere can you find WebAssembly versions of your favorite R packages?
In @rOpenSci R-Universe!
For example, if I need @Drmowinckels awesome ggseg my YAML looks like this:webr:
packages:
- ggseg
repos:
- https://ggseg.r-universe.dev -
#Rstats tip of the day:
I'm working on a series of #QuartoLive Tutorials (transforming learnr tutorials).
To use packages in the tutorial you add these labels on your YAML and list the packages:
webr:
packages:
- ggplot2
- gapminder
- dplyrWhere can you find WebAssembly versions of your favorite R packages?
In @rOpenSci R-Universe!
For example, if I need @Drmowinckels awesome ggseg my YAML looks like this:webr:
packages:
- ggseg
repos:
- https://ggseg.r-universe.dev -
#Rstats tip of the day:
I'm working on a series of #QuartoLive Tutorials (transforming learnr tutorials).
To use packages in the tutorial you add these labels on your YAML and list the packages:
webr:
packages:
- ggplot2
- gapminder
- dplyrWhere can you find WebAssembly versions of your favorite R packages?
In @rOpenSci R-Universe!
For example, if I need @Drmowinckels awesome ggseg my YAML looks like this:webr:
packages:
- ggseg
repos:
- https://ggseg.r-universe.dev -
#Rstats tip of the day:
I'm working on a series of #QuartoLive Tutorials (transforming learnr tutorials).
To use packages in the tutorial you add these labels on your YAML and list the packages:
webr:
packages:
- ggplot2
- gapminder
- dplyrWhere can you find WebAssembly versions of your favorite R packages?
In @rOpenSci R-Universe!
For example, if I need @Drmowinckels awesome ggseg my YAML looks like this:webr:
packages:
- ggseg
repos:
- https://ggseg.r-universe.dev -
Cerebellar flatmaps now in #ggsegverse!
We have now shipped across the ggsegverse the possibility to visualise the cerebellum parcellations also, based on the SUIT flatmap from the Diedriksen lab.
Read more about it https://ggsegverse.github.io/news/cerebellar-support/
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ggseg.extra now builds cortical brain atlases directly from the mesh geometry! A 150-region Destrieux atlas tok 9 seconds. No screenshots, no ImageMagick, no headless browser.
Same Destrieux atlas: 53,000 vertices before, 6,000 after. The borders are smoother with fewer vertices because the geometry is right from the start.
https://ggsegverse.github.io/ggseg.extra/
ggseg.extra is part of the #ggsegverse ecosystem for brain visualization in R. Dev version on GitHub.
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ggseg.extra now builds cortical brain atlases directly from the mesh geometry! A 150-region Destrieux atlas tok 9 seconds. No screenshots, no ImageMagick, no headless browser.
Same Destrieux atlas: 53,000 vertices before, 6,000 after. The borders are smoother with fewer vertices because the geometry is right from the start.
https://ggsegverse.github.io/ggseg.extra/
ggseg.extra is part of the #ggsegverse ecosystem for brain visualization in R. Dev version on GitHub.
-
ggseg.extra now builds cortical brain atlases directly from the mesh geometry! A 150-region Destrieux atlas tok 9 seconds. No screenshots, no ImageMagick, no headless browser.
Same Destrieux atlas: 53,000 vertices before, 6,000 after. The borders are smoother with fewer vertices because the geometry is right from the start.
https://ggsegverse.github.io/ggseg.extra/
ggseg.extra is part of the #ggsegverse ecosystem for brain visualization in R. Dev version on GitHub.
-
ggseg.extra now builds cortical brain atlases directly from the mesh geometry! A 150-region Destrieux atlas tok 9 seconds. No screenshots, no ImageMagick, no headless browser.
Same Destrieux atlas: 53,000 vertices before, 6,000 after. The borders are smoother with fewer vertices because the geometry is right from the start.
https://ggsegverse.github.io/ggseg.extra/
ggseg.extra is part of the #ggsegverse ecosystem for brain visualization in R. Dev version on GitHub.
-
ggseg.extra now builds cortical brain atlases directly from the mesh geometry! A 150-region Destrieux atlas tok 9 seconds. No screenshots, no ImageMagick, no headless browser.
Same Destrieux atlas: 53,000 vertices before, 6,000 after. The borders are smoother with fewer vertices because the geometry is right from the start.
https://ggsegverse.github.io/ggseg.extra/
ggseg.extra is part of the #ggsegverse ecosystem for brain visualization in R. Dev version on GitHub.
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New ggsegverse update!
I finally got around to pre-release new ggseg.extra (notice name change) package, for creating new atlases.
https://ggsegverse.github.io/news/ggseg.extra/
It's full of new features, and likely lots of new bugs.
I'd love folks to test how it works, I've really tried making things more robust and I hope its payed off! -
New blog post! My dotfiles repo evolved from basic shell configs to managing my AI coding agents — Claude Code and OpenCode get the same instructions, exclusions, and skills through symlinks.
If you're using AI coding tools regularly, version controlling their configs is a game changer.
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neuromapr 0.2.1 has been accepted and published on CRAN!
Very excited to get this out to users in the simplest way possible, and hope the #rstats #neuroimaging community finds it useful!
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New neuromapr #rstats package is available from GitHub! Highly experimental, early adopters and bug identifiers are super welcome to report issues!
It implements the framework from Markello et al. (2022, Nature Methods) and is aligned with the neuromaps Python reference implementation. Co-developed with Claude Code.
https://netneurolab.github.io/neuromaps/index.html -
The ggseg ecosystem finally has a proper home! 🧠
For those who don't know, ggseg is an R package ecosystem for visualizing brain atlas data. Think ggplot2, but for brains. -
My 2025 'Year in Review' blog post is now live! ✨ It was a year focused on deliberate, sustainable work while managing post-COVID recovery. I'm sharing insights on deep dives into #RStats APIs with `httr2`, the R Package Development Advent Calendar, and ongoing `ggseg` improvements. It’s all about creating durable outputs. Come read about my journey and what's next for 2026! What were your highlights? #RStats #OpenSource #YearInReview #RProgramming #DeveloperLife https://drmo.site/8NNsxa
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Managing a Hugo site gets complex fast - builds, dev servers, and getting dependencies where Hugo expects them. Here's how npm scripts solved our R-Ladies website workflow 🧵
Hugo has opinions about file structure. Bootstrap needs to be in specific dirs, assets must be organized just so. Manually copying files from node_modules after every update? Error-prone and tedious.
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Spent last week debugging Hugo issues in our R-Ladies website - I wanted to add one page per Chapter. However, we have chapter data as Hugo site data, which doesn't render into pages, I needed to setup a content adapter, which I had never done before. Here's how I used Claude to solve it 🧵
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Spent last week debugging Hugo issues in our R-Ladies website - I wanted to add one page per Chapter. However, we have chapter data as Hugo site data, which doesn't render into pages, I needed to setup a content adapter, which I had never done before. Here's how I used Claude to solve it 🧵
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Spent last week debugging Hugo issues in our R-Ladies website - I wanted to add one page per Chapter. However, we have chapter data as Hugo site data, which doesn't render into pages, I needed to setup a content adapter, which I had never done before. Here's how I used Claude to solve it 🧵
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Spent last week debugging Hugo issues in our R-Ladies website - I wanted to add one page per Chapter. However, we have chapter data as Hugo site data, which doesn't render into pages, I needed to setup a content adapter, which I had never done before. Here's how I used Claude to solve it 🧵
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Spent last week debugging Hugo issues in our R-Ladies website - I wanted to add one page per Chapter. However, we have chapter data as Hugo site data, which doesn't render into pages, I needed to setup a content adapter, which I had never done before. Here's how I used Claude to solve it 🧵
