Doctoral Researcher at the Autism, Social Cognition & Bodily Movement Lab (https://xitter.cf/t.co/4UtopMKM9q), Senior Centre Technician at @TheCHBH, MATLAB Ambassador, He/Him.
University Of Birmingham, UK
Joined March 2009
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🎉 New paper alert! 🧠 The velocity-curvature power law is one of the 'kinematic laws of nature' (Flash 2021), a 'fundamental law of human control' (Zago et al. 2016), and one of the 'kinematic regularities' (Frith & Frith 2023) thought to underlie all biological motion. 1/9
Follow-up to my ICC thread from last week 🧵 I wanted to test Salarian's MATLAB FileExchange code. Thanks to @cchapman.bsky.social for pointing me toward R. I took it further than perhaps intended.
You can even add the necessary packages without ever looking at R
system('Rscript -e "install.packages(''psych'', repos=''cran.r-project.org'')"')
system('Rscript -e "install.packages(''ICC'', repos=''cran.r-project.org'')"')
#MATLAB #MATLABambassador #R
Dagmar Fraser @dagmarfraser.bsky.social retweeted
What is social cognition? Watch my interview with Drs. Uta Frith (@utafrith) and Chris Frith about their book, “What Makes Us Social?” #Psychology #Science
youtu.be/1I2LvEFKhe8
New experience today 🎓: I set up an experiment to check the test–retest stability of my favourite kinematic measure: Lacquaniti’s 1/3 power law. A velocity–curvature relationship that results in a kinematic invariance which might underlie all biological motion.
But… last updated in 2016. How far do we trust “random” code? 🤔 I will havw to write some tests. This is the reality of (apparently!) niche stats in MATLAB, community-driven, not MathWorks-authored. Who do I have to bribe to get it added?
So here’s the question: what’s your ICC workflow? There must be dozens of us! Dozens!
MATLAB, R, Python… or do you still cling to SPSS? 🧐
#MATLAB #MATLABambassador
🧵 Back in 1999, I was hand-rolling the Karhunen-Loève transform using eig() … you may know it as Principal Component Analysis, or as the cool kids now know it by its rapper name PCA. 🎤
I had no fancy toolboxes with the pca() command.
🙏 It lets you: • Manipulate μ and σ of up to 3 variables • Adjust correlations • Watch Principal Components (PCs) emerge in real-time ⚡You can rotate 3D plots 🔄, click individual points to see their deviation vectors animated, and visualize projections onto each PC.
Available on MATLAB Online– just click that Launch button on GitHub. 🚀 You don’t even need a license - 20hrs/month free!
#MATLAB #PCA #KarhunenLoeve #MATLABambassador