Checklist of items researchers can do to improve the reproducibility of their code
Here is my checklist summarising a small set of some of the simplest tasks you can do that have high potential to improve the reproducibility of your analysis code.
This is based on my year of reproducibility reviews for the J. of Archaeological Science:
authors.elsevier.com/a/1lHjN_6yUM... 🧪🏺
06.07.2025 01:25 — 👍 109 🔁 32 💬 3 📌 3
How stable are patterns of covariation across time? | Language Variation and Change | Cambridge Core
How stable are patterns of covariation across time?
I'm very excited to see this new work led by Gia Hurring is now out. We did a lot to shore up our approach to PCA for investigating vocalic covariation and find striking commonality of patterns across multiple corpora of New Zealand English and panel data doi.org/10.1017/S095...
22.05.2025 08:46 — 👍 3 🔁 1 💬 0 📌 0
📁 i'm a strong advocate for "project-oriented workflows" when it comes to coding, because it encourages reproducibility and enables easy context-switching. many IDEs support this practice.
but what is a project-oriented workflow? here's a great introduction for R users: rstats.wtf/projects
07.04.2025 22:04 — 👍 9 🔁 2 💬 0 📌 0
Logo of nzilbb.vowels package. NZILBB koru with words 'nzilbb.vowels' above.
nzilbb.vowels: Vowel Covariation Tools (0.3.1) is now on CRAN. The package contains many useful functions for applying Principal Component Analysis to vocalic data and visualising the results. Website and documentation here: nzilbb.github.io/nzilbb_vowels/
#rstats #sociophonetics
02.12.2024 02:47 — 👍 12 🔁 3 💬 1 📌 0
We are a community that fosters a culture that values open and reproducible research using shared data and reusable software. We develops #RStats based tools and […]
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