iiinova — where your digital self keeps evolving

ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 01/10/2026

The #ggsegverse website how has a proper playground! Served through @posit.co Cloud Connect, a n #rstats session to explore atlases, how to alter their positions, colours etc. An excellent resource to also learn how to use it, as it shows the code. #shiny ggsegverse.github.io/news/2026-10...

The demo app in 2D view. A sidebar on the left holds the atlas picker, a Colour regions by radio set with Example values selected, a Viridis colour scale, a seed slider, and layout and theme pickers. The main panel shows the Desikan-Killiany atlas drawn in eight views, two rows of four, each region filled from a viridis scale. Below the figure a code panel titled The code behind this figure shows the R script that made it, beginning with library(ggseg) and library(ggplot2).

The demo app in 3D view. The sidebar offers Surface, Hemispheres, Add glass brain, Camera and Background controls. The main panel shows an inflated left hemisphere seen from the lateral side, each cortical region a different colour, with a region legend to the right. The code panel below reads library(ggseg3d), then a ggseg3d call with atlas and surface arguments piped into pan_camera and set_background.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 18/09/2026

`atlas = dk` stopped working in ggseg 2.0.0. It's `dk()` now, and I owe you the reason: R cannot re-export a dataset from another package's namespace. A function is the honest way to put a name there. 🧠 #RStats l.drmowinckels.io/DVergO

A 3D minimalist illustration comparing an open doorway to a bricked-off door. On the left, an open door glows with teal light, flanked by a giant pair of curved parentheses. Inside the doorway sits a glowing pedestal with a stylized brain outline and a small tag reading "dk()". On the right, a second door is completely walled off with grey bricks and a nameplate reading "dk". Below the doors, code text reads "ggplot() + geom_brain(atlas = dk())

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 01/08/2026

101 tests passed — then R crashed on exit with a Windows stack-buffer-overrun 🫠 I wrapped Rust's link checker lychee into an R package (rambutan). The whole trip, teardown bug and all: #rstats #rust l.drmowinckels.io/ajLoWM

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 16/07/2026

Its so dang warm! Happy we have AC to cool down. Even forced the cat to stay indoor the last hour so she is out of the worst of it and can cool down.

screenshot of a weather station report showing its 34C, and feels like 39C

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 15/07/2026

I'm an R person who just shipped two cross-platform desktop apps in Rust + Tauri + React — a stack I'd never written before. One built straight in code with Claude, one designed first as a clickable artifact. Story: l.drmowinckels.io/sNeRrN

A modern minimalist desk setup in warm, natural light. On a light wooden surface, a stylized cairn of stacked stones glows with digital, circuit-board patterns. Next to it, an open silver laptop displays a dark-mode productivity dashboard with charts and UI elements labeled "Cairn." A blurred succulent sits in the background.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 20/06/2026

Do you use The StoryGraph to catalogue the books you read, and find it cumbersome to sync the devices you read from to the website? drmowinckels.io/storywell/ #books #storyGraph #bibliophile

Promotional banner for Storywell — "Sync your shelf" service that pulls every finished book from Audible, Goodreads and more and marks them read on The StoryGraph.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 01/06/2026

Quarto's `hugo-md` format wraps every figure in raw HTML, so Hugo's image render hook never fires on them. Fifteen lines of Lua + one line in `_quarto.yml` and every figure comes out as clean `![alt](src)` markdown instead. l.drmowinckels.io/WgOEMR

A simplified diagram showing a Quarto qmd document on the left flowing through a Lua filter labelled figure-to-markdown into a Hugo theme on the right, with the figure being converted from HTML to a clean markdown image syntax.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 30/03/2026

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. #rstats #neuroscience #brainimaging

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 18/03/2026

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! #rstats #ggsegverse #neuroimaging

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 02/03/2026

My dotfiles now manage my AI coding agents 🤖 Same instructions for Claude Code and OpenCode, symlinked from one repo. Here's how I set it up: drmo.site/CCrf37

A minimalist isometric 3D illustration on a dark background showing a central glowing cube labeled ".dotfiles" with a git icon. Glowing neon lines radiate from the cube to icons representing "Shell Config," "Editor & Tooling," and "AI Agents (Claude & OpenCode)." A sidebar labeled "Skills Marketplace" displays specialized icons for R, Shiny, Quarto, and writing voices, illustrating a unified development environment.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 15/02/2026

New neuromapr #rstats package is available from GitHub! Highly experimental, early adopters and bug identifiers are super welcome to report issues! github.com/lcbc-uio/neu... #neuroscience #rstats #neuroimaging

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 09/02/2026

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. #rstats #neuroimaging #openscience

Dark blue hexagon, with a light blue frame. Features a brain facing the left, with the front half as a wire-frame mesh of light blue, and the back half with several polygon segments of different colours. Below is written "ggseg" in light blue.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 03/02/2026

Stop playing "diagnostics ping-pong" with your users 🏓 Wrote about why every R package wrapping external tools needs a sitrep() function — with real examples from meetupr and freesurfer. #RStats drmo.site/F5gVjR

A close-up view of a computer monitor in a dimly lit room, showing a terminal console. The terminal displays the output of an R function called meetupr_sitrep(). The report shows green checkmarks for "Active Authentication" and "Cached Token," and a blue information icon for package settings. At the bottom, a red "X" marks a failed "API Connectivity Test," illustrating a diagnostic situation report in action. In the foreground, a coffee mug and a person’s hand on a keyboard are visible but slightly out of focus.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 23/01/2026

15 years together, and going strong. Growing, learning, supporting, laughing, crying, loving.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 19/01/2026

My 2025 Year in Review is out! 📝 A year of deliberate work amidst post-COVID recovery. Highlights: deep dives into #RStats APIs w/ #httr2, the R Package Dev Advent Calendar, & `ggseg` improvements. Focus on sustainable, impactful work. Read more & share your 2025! 👇 drmo.site/8NNsxa

image of a woman (me) with dark hair and glasses wearing mauve-burgundy dress, sitting next to an evergreen tree decorated with lights and Christmas ornaments

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 16/01/2026

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 #NPM #WebDev #BuildTools #OpenSource #Automation

$NPM json setup. ```json { "name": "hugo-rladies-theme-js", "private": true, "version": "0.1.0", "scripts": { "clean": "rm -rf assets/js/vendor assets/scss/vendor", "setup": "mkdir -p assets/js/vendor assets/scss/vendor", "build": "npm run clean && npm run setup && npm run sync:bootstrap && npm run sync:jquery", "sync:bootstrap": "cp node_modules/bootstrap/dist/js/bootstrap.bundle.min.js* assets/js/vendor/ 2>/dev/null || true && cp -r node_modules/bootstrap/scss assets/scss/vendor/bootstrap", "sync:jquery": "cp node_modules/jquery/dist/jquery.min.js* assets/js/vendor/ 2>/dev/null || true", "update": "npm update && npm run build", "postinstall": "npm run build" }, "dependencies": { "bootstrap": "^5.3.8", "jquery": "^3.7.0" } } ```$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 28/12/2025

My #RPackageAdvent2025 recap is live! 📦✨ Get the complete guide to modern R package development: setup, docs, testing, CI/CD, and CRAN submission. All 25 days of tips, tools, and best practices in one place! Dive in! #RStats #RPackageDevelopment Link: drmo.site/8ny3eU

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 28/12/2025

Excited to share my R Package Development Advent Calendar 2025 summary! 🎁 All 25 days of modern R pkg dev in one guide. Master `usethis`, GitHub Actions, `pkgdown`, `testthat`, & CRAN prep. Level up your R packages! 🚀 #RStats #RPackageAdvent2025 #Rpkg drmo.site/8ny3eU

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 26/12/2025

We Made It! 🎉 25 days. Complete modern R package development workflow. From usethis automation to CRAN submission. You have everything you need! #rstats #CRAN #RPackageAdvent2025 #ThatsAWrap

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 25/12/2025

Day 25: CRAN Submission Checklist and cran-comments.md Final steps for successful CRAN submission. Pro Tip: Be proactive about communicating any unusual aspects of your package to CRAN reviewers. #rstats #RPackageAdvent2025

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 24/12/2025

Happy Christmas to all who celebrate, and to those who don't I hope you get to enjoy the end of the year. We celebrated just the three of us, with a quiet and lovely celebration. After two Christmases that have been quite difficult, it was nice to have a semblance of normality.

image of a woman (me) with darl hair and glasses wearing mauve dress, sitting next to an evergreen tree decorated with lights and Christmas ornaments

photo of a tabby cat sitting on a rug being incredibly cute

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 24/12/2025

Day 24: rlang - Tidy Evaluation in Packages Handle user expressions safely in package functions. Pro Tip: Use {{ }} (embrace) for single arguments, ... for multiple arguments. Resources: rlang.r-lib.org #rstats #RPackageAdvent2025

$my_summarise <- function(data, ...) { data |> dplyr::summarise(...) }$ $my_mutate <- function(data, col, value) { data |> dplyr::mutate({{ col }} := value) }$ $my_function <- function(...) { dots <- rlang::list2(...) # process dots }$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 23/12/2025

Day 23: cli - Beautiful Command Line Interfaces Create user-friendly messages and progress indicators. Pro Tip: Use semantic markup like {.fn function_name} and {.val value} for consistent formatting. Resources: cli.r-lib.org #RpackageAdvent2025 #rstats

$cli::cli_progress_bar("Processing files", total = length(files)) for (file in files) { # process file cli::cli_progress_update() }$ $cli::cli_alert_success("Package built successfully!") cli::cli_alert_warning("Missing documentation for {.fn my_function}") cli::cli_abort("Invalid input: {.val {invalid_value}}")$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 22/12/2025

Day 22: S3, S4, and S7 Object Systems Create robust object-oriented interfaces with R's object systems. Pro Tip: Use S3 for simple classes, S4 for complex validation, S7 for modern OOP. Resources: rconsortium.github.io/S7 #rstats #RPackageAdvent2025

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 21/12/2025

Day 21: rhub - Multi-Platform Testing (Thread) Test your package on multiple platforms before CRAN submission. Resources: r-hub.github.io/rhub/ #rstats #RPackageAdvent2025

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 20/12/2025

Day 20: Performance Testing with bench Profile and benchmark your package functions. Pro Tip: Include benchmarks in your test suite to catch performance regressions. Resources: bench.r-lib.org #rstats #RPackageAdvent2025

bench::mark(
my_function(big_data),
filter_gc = FALSE
)

results <- bench::mark(
old_approach = old_function(data),
new_approach = new_function(data),
check = FALSE, # Skip result equality check
iterations = 100
)
plot(results)

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 19/12/2025

5/ The Bottom Line: goodpractice is your package health checkup. Catches issues before they become problems. Run regularly, maintain quality.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 18/12/2025

Day 18: Use linters! Maintain consistent, readable code style automatically. Usage: lintr::lint_package() styler::style_pkg() Pro Tip: Add both to pre-commit hooks for automatic code formatting. Resources: lintr.r-lib.org #rstats #RPackageAdvent2025

# .lintr file in project root
linters: linters_with_defaults(
line_length_linter(120),
commented_code_linter = NULL
)

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 17/12/2025

Day 17: vcr - Recording API Calls for Tests Record real API responses for reliable, fast tests without hitting live APIs. Pro Tip: Commit cassette files to git for reproducible tests across environments. Resources: docs.ropensci.org/vcr #rstats #RPackageAdvent2025

$# In vignette setup vcr::use_cassette("demo_data", { demo_data <- fetch_api_data("example") })$ $test_that("API returns expected data", { use_cassette("github_api", { response <- httr::GET("https://api.github.com/users/octocat") expect_equal(httr::status_code(response), 200) }) })$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 16/12/2025

Day 16: Testing with Mocks using testthat Test functions that depend on external resources using testthat's built-in mocking. Pro Tip: Use local_mocked_bindings() to mock functions within the test scope only. Resources: testthat.r-lib.org #rstats #RPackageAdvent2025

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 15/12/2025

Day 15: Snapshot Testing with testthat Test complex outputs that are hard to specify exactly. Pro Tip: Review snapshot changes carefully - they capture everything, including whitespace and formatting. #rstats #RPackageAdvent2025

$test_that("plots look right", { p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() vdiffr::expect_doppelganger("mtcars-scatter", p) })$ $test_that("error messages are informative", { expect_snapshot(my_function(bad_input), error = TRUE) })$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 14/12/2025

Day 14: testthat 3rd Edition Features Modern testing with the latest testthat features. Setup: usethis::use_testthat(3) Pro Tip: Use test_that() with descriptive names that explain what should happen. Resources: testthat.r-lib.org #rstats #RPackageAdvent2025

$test_that("plot output is stable", { p <- my_plot(data) vdiffr::expect_doppelganger("basic-plot", p) })$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 13/12/2025

Day 13: covr - Test Coverage Reporting Track how much of your code is tested. use #nocov for code you don't want to cover (like basic R functions etc) Pro Tip: Focus on testing critical functions thoroughly rather than chasing 100%. Resources: covr.r-lib.org #rstats #RPackageAdvent2025

usethis::use_github_action("test-coverage")
usethis::use_coverage() # Adds codecov badge

covr::package_coverage()
covr::report()
covr::package_coverage() |>
covr::zero_coverage()

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 12/12/2025

Day 12: README.Rmd Automation Create dynamic READMEs that stay up-to-date with your code. Setup: usethis::use_readme_rmd() Include these sections: 󠁯•󠁏󠁏 Installation instructions 󠁯•󠁏󠁏 Basic usage example 󠁯•󠁏󠁏 Lifecycle badges 󠁯•󠁏󠁏 Build status badges #rstats #RPackageAdvent2025

- name: Render README
run: Rscript -e 'rmarkdown::render("README.Rmd")'

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 11/12/2025

Day 11: NEWS.md and Semantic Versioning Keep users informed about package changes. Create NEWS.md: usethis::use_news_md() Pro Tip: Follow semantic versioning: MAJOR.MINOR.PATCH for breaking.feature.bugfix changes. #rstats #RPackageAdvent2025

# mypackage 1.2.0

## New features
* Added `new_function()` for advanced analysis (#15)

## Bug fixes
* Fixed issue with missing values in `existing_function()` (#12)

## Breaking changes
* `old_param` renamed to `new_param` in `main_function()`

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 10/12/2025

Day 10: lifecycle - Managing Function Deprecation Communicate changes to users gracefully with lifecycle badges. Setup: usethis::use_lifecycle() Pro Tip: Use lifecycle stages: experimental → stable → superseded → deprecated. Resources: lifecycle.r-lib.org #rstats #RPackageAdvent2025

$#' @lifecycle experimental new_function <- function() { # function body }$ $#' @lifecycle deprecated old_function <- function() { lifecycle::deprecate_warn("1.0.0", "old_function()", "new_function()") # function body }$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 08/12/2025

Day 8: pkgdown Customization and Deployment Transform your package documentation into a polished website. Advanced customization: Auto-deployment: usethis::use_github_action("pkgdown") Pro Tip: Group functions logically in the reference section for better navigation. #rstats #RPackageAdvent2025

template:
params:
bootswatch: flatly

reference:
- title: "Data manipulation"
contents:
- starts_with("mutate")
- ends_with("_join")

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 07/12/2025

Day 7: roxygen2 Advanced Tags and Cross-References 📝 Master documentation with advanced roxygen2 features, with markdown-style writing! 🎯 💡 Pro Tip: Use @inheritDotParams to inherit ... parameter documentation. 📚 Resources: roxygen2.r-lib.org #rstats #roxygen2 #Documentation #RPackageAdvent2025

Cross-references: 🔗

#' @seealso [other_function()], [pkg::function()]
#' @family utility functions
#' @inheritParams parent_function

Advanced tags: ⚡

#' @section Warning:
#' This function modifies data in place.
#'
#' `r paste("Generated on", Sys.Date())` # Run R code

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 06/12/2025

Day 6/25: Adding dependencies to your #rstats package 🧵 #rstats #RPackageAdvent2025 The Manual DESCRIPTION Problem: You need to add dplyr to your package. Open DESCRIPTION, find Imports, type "dplyr," hope you didn't typo it, wonder if you need a version constraint, forget to sort alphabetically.

usethis::use_package("dplyr")

usethis::use_package("data.table", min_version = "1.14.0")

usethis::use_package("ggplot2", type = "Suggests")

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 05/12/2025

Day 5: Package Structure with pkgdown Site Generation 🌐 Create beautiful documentation websites for your packages! ✨ usethis::use_pkgdown() pkgdown::build_site() 💡 Pro Tip: Use usethis::use_pkgdown_github_pages() for deployment. 📚 Resources: pkgdown.r-lib.org #rstats #RPackageAdvent2025

template:
bootstrap: 5

navbar:
structure:
left: [intro, reference, articles, tutorials]
right: [search, github]

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 04/12/2025

Day 4: .Rbuildignore and .gitignore Best Practices 📁 Control what gets included in your package build and git repository! 🎯 💡 Pro Tip: Use usethis::use_build_ignore() to add entries programmatically. #rstats #BestPractices #Git #RPackageAdvent2025 🗃️

Essential .gitignore entries: 🔒
.Rproj.user
.Rhistory
.RData
.Ruserdata
docs/

$Essential .Rbuildignore entries: 🚫 ^.*\.Rproj$ ^\.Rproj\.user$ ^README\.Rmd$ ^LICENSE\.md$ ^\.github$ ^_pkgdown\.yml$ ^docs$ ^pkgdown$$

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 02/12/2025

Day 2: devtools - Essential Development Workflow 🔧 The devtools package streamlines your package development workflow with key functions! 💡 Pro Tip: Use Ctrl/Cmd + Shift + L in RStudio to quickly run load_all() 📚 Resources: devtools.r-lib.org #RPackageDev #RStats #devtools #RPackageAdvent2025

devtools::load_all() # Load package for testing
devtools::document() # Generate documentation
devtools::test() # Run tests
devtools::check() # Run R CMD check
devtools::install() # Install package locally

Screenshot of the development cheat sheet

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 01/12/2025

Day 1: usethis - Project Setup Automation 🎯 The usethis package is your best friend for automating repetitive package development tasks! 🤖 💡 Pro Tip: Set up your global options once with usethis::edit_r_profile() to add your name, email, and preferred license.

# Start a new package
usethis::create_package("~/mypackage")

# Add essential infrastructure
usethis::use_mit_license()
usethis::use_readme_rmd()
usethis::use_github_action("check-standard")
usethis::use_testthat(3)
usethis::use_pkgdown()

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 30/11/2025

🎄 ANNOUNCEMENT: R Package Development Advent Calendar 2025! 🎄 Starting December 1st, I'm launching a 25-day journey through modern R package development. here's why you should follow along 🧵 #rstats #RPackageAdvent2025 #OpenSource

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 18/11/2025

1. I have a test-suite that currently is not being run properly during testing. I run the tests, it seemingly does something, but there is no output and no tests get marked as failed or successful. It's not skipping, at least it should not. Anyone experienced something like that before?

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 18/11/2025

Today I am having some #positron issues, and I can't seem to figure things out. I'm hoping the ever amazing social media hive-mind for #rstats can help me.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 22/10/2025

I made my first #lua filter today, with some #copilot aid. My #quartopub to hugo-md was not rendering figures with alt/caption in a way that let the #hugo theme deal with the styling.

Lua filter for markdown image rendering. Too long to post all text here.

yaml frontmatter section of a Quarto document:

---
title: "Lua filter for Quarto to hugo-md image rendering"
author: Dr. Mowinckel
date: '2025-10-22'
format:
hugo-md:
filters:
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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 02/10/2025

Just published my new R article: 'Mapply: When You Need to Iterate Over Multiple Inputs'! 🚀 If `sapply` doesn't quite cut it for your multi-variable iterations, `mapply` is your friend. Learn to pair inputs beautifully. #RStats #Mapply drmo.site/bhXeDb

A graphic showing the concept of mapply in R, with multiple input vectors being paired and processed by a function returning a single output vector.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 03/09/2025

We're building a national application for MRI infrastructure in Norway. Help us make a strong case by completing this survey, whether you're a current user or just interested in the field! nettskjema.no/a/540995 Please boost/repost this! #MRI #Norway #Research #Science

A map of Norway showing the distribution of MRI scanners. Four MRI scanners are placed at different locations across the country. The map is overlaid with two shaded areas: a dark blue area representing a 60-minute travel radius that covers 2.471 million people, and a light blue area representing a 120-minute travel radius that covers 3.510 million people. Arrows show that data from these scanners is uploaded to and stored in a central cloud-based server.

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 02/09/2025

Excited to share my new article on Hugo modules vs. Git submodules for easier website management! Learn practical approaches & share your experience! 🚀 drmo.site/fnJbML #Hugo #Git

Two folders are labeled "Hugo Modules" and "Git Submodules," surrounded by floating islands with code snippets, gears, and file icons, all connected by glowing lines.

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