Data Science @ UoYLangLing @LangLingDataSci
Data Science and Statistics Commitee @UoYLangLing. Sharing content for staff and students york.ac.uk/language/ York, UK Joined August 2021-
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Following242
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Data Science @ UoYLangLing retweeted
Out now, tutorial paper (doi.org/10.1177/251524…) on calculating and justifying your required sample size. Different frameworks: frequentist, Bayesian, testing superiority or equivalence, estimation... we don't discriminate! With @DonVanRaven, @RinkHoekstra, and @BalazsAczel
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Data Science @ UoYLangLing retweeted
Data Science @ UoYLangLing retweeted
‘The hidden background noise that can catch criminals’ featuring Dr Amelia Gully, British Academy Postdoctoral Research Fellow in the Department of Language and Linguistic Science, University of York youtube.com/watch?v=e0elNU…
Data Science @ UoYLangLing retweeted
Version 1.0 of my book on statistical analysis for linguists/language scientists is posted! It takes you from hypothesis testing to mixed-effects models in detail, using R. Similar content to v. 0.91. #RStats #linguistics . . osf.io/pnumg/
Data Science @ UoYLangLing retweeted
Would you like to use Bayesian methods, but you worry about how to set priors & the "subjective" choices involved? In this #brms video tutorial @ChrisMMCox and I show how to rigorously build your Bayesian analysis w a focus on motivated priors. 4ccoxau.github.io/PriorsWorkshop/ 1/
Data Science @ UoYLangLing retweeted
Me reading my code from > 6 months ago 🙃
Data Science @ UoYLangLing retweeted
@ LingTwitter: What are the most exciting findings about human language published in the last 10 years? (shameless self promotion encouraged). Go!
Data Science @ UoYLangLing retweeted
PCA and regression use least *squares*. Why? 1/4
Data Science @ UoYLangLing retweeted
Data Science @ UoYLangLing retweeted
Do statisticians ever agree on anything? We listed seven statistical procedures that we believe can serve as a common ground among data analysts. Here, we explain these practices, including their benefits, limitations, and guidelines. nature.com/articles/s4156…
Data Science @ UoYLangLing retweeted
Probably the most important tool in my arsenal is #Shiny. But shiny can be tough to learn. So I’ve packaged the main concepts inside Secrets 8,9,&10 of my free 40-minute webinar. mailchi.mp/business-scien… #rstats
Data Science @ UoYLangLing retweeted
*sweats* 😰
Data Science @ UoYLangLing retweeted
How to add text labels to a scatterplot in the R programming language. The tutorial compares Base R and the ggplot2 package: youtu.be/amcyzYZKrqA #tidyverse #Rpackage #datavis #datascienceenthusiast #RStats
Data Science @ UoYLangLing retweeted
Me: we should estimate parameters and abandon dichotomous hypothesis testing Also me:
Data Science @ UoYLangLing retweeted
What are your recommendations for your best linear mixed models textbook/course/resources please?
Data Science @ UoYLangLing retweeted
If you want to learn #R, learn the packages in this #cheatsheet. These are my 80/20 tools. buff.ly/3lMSx7d #Rstats #datascience
Data Science @ UoYLangLing retweeted
Wednesday I gave a talk at @PromentaC on clear and credible #DataViz in science and I thought it might be interesting to a wider audience. Would love to hear your thoughts on my perspective: bit.ly/3u6gNFk
Data Science @ UoYLangLing retweeted
📊🧵 Collection of tweets featuring open-access materials that I have shared over the last years: Talks, seminars, blog posts, hands-on notebooks, codes, and more! #rstats #ggplot2 #tidyverse #dataviz 🧙♂️
Data Science @ UoYLangLing retweeted
#dplyr in 6 tweets. Using the starwars dataset. 1. select() columns #tidyverse #RStats
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Dr Catherine Laing @cathelaing24
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pʰɔːɫ faʊks @paulfoulkesyork
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