Data Science @ UoYLangLing

Data Science and Statistics Commitee @UoYLangLing. Sharing content for staff and students

[Marton Kovacs @[email protected] @mrtn_kvcs]

Out now, tutorial paper (https://t.co/wfRs1MVNc2) 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

[Dan Quintana @dsquintana]

When you teach yourself #Rstats

[Language & Linguistics @ UoY @UoYLangLing]

‘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
https://t.co/ry0VDQHg9g

[Morgan Sonderegger @masonderegger]

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 . .

https://t.co/UKN6ZqS6J5

[Riccardo Fusaroli @fusaroli]

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. https://t.co/iNswfHNN4F 1/

[Chelsea Parlett @ChelseaParlett]

Me reading my code from > 6 months ago 🙃

[Timo Roettger @TimoRoettger]

@ LingTwitter: What are the most exciting findings about human language published in the last 10 years? (shameless self promotion encouraged). Go!

[Karl Rohe @karlrohe]

PCA and regression use least *squares*. Why?

1/4

[Jenny Bryan @JennyBryan]

If you click on the R hex icon in @rstudio's Files pane, it brings you back to the top-level folder of your Project, if you've navigated away. I use this all the time and I want to make sure you know about it. #rstats

[Balazs Aczel @BalazsAczel]

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.
https://t.co/I8M7qdoTh9

[Matt Dancho (Business Science) @mdancho84]

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. https://t.co/73uH3hz9vW

#rstats

[Chelsea Parlett @ChelseaParlett]

*sweats* 😰

[Joachim Schork @JoachimSchork]

How to add text labels to a scatterplot in the R programming language. The tutorial compares Base R and the ggplot2 package: https://t.co/LMaiFwY29x

#tidyverse #Rpackage #datavis #datascienceenthusiast #RStats

[Timo Roettger @TimoRoettger]

Me: we should estimate parameters and abandon dichotomous hypothesis testing

Also me:

[Zoe Flack 🇪🇺 @[email protected] @ZoeMFlack]

What are your recommendations for your best linear mixed models textbook/course/resources please?

[Matt Dancho (Business Science) @mdancho84]

If you want to learn #R, learn the packages in this #cheatsheet. These are my 80/20 tools. https://t.co/Fss6Q9AX1O

#rstats #datascience

[Timo Roettger @TimoRoettger]

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:

https://t.co/bLQ4fSOmbf

[Cédric Scherer @CedScherer]

📊🧵 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 🧙‍♂️

[Hari @illustratedbyte]

#dplyr in 6 tweets. Using the starwars dataset.

1. select() columns

#tidyverse #RStats