Shameless plug for @emilynordmann and my #PsyTeachR Applied Data Skills microcredential course. You can enrol up to January 16 for the 10-week course starting January 23.

This course provides an overview of the basic #rstats skills needed to transform raw data into informative summaries and visualisations presented in professional reports and presentations. (There is no inferential stats content.)

https://www.gla.ac.uk/study/microcredentials/applieddataskillsforprocessingandpresentingdata/

I'm enjoying @emilynordmann's RIOTS talk on "R is for Reproducibility". See the #PsyTeachR preprint for further discussion of the themes from her talk. #rstats

https://psyarxiv.com/hq68s

@tarasovich @rstats I’d recommend our #PsyTeachR resources for starting. Link to a thread by @debruine summarising them all, below. We also have a course starting in January if you need something more structured.

https://tech.lgbt/@debruine/109330081185563158

@HeedLab @emilynordmann #PsyTeachR wrote our last collaborative paper in Word because this is so hard. Our books are in Rmd and usually worked on via GitHub by only 1 or 2 people at a time, but papers are hard to collaborate on in Rmd.

I think this is an #rstats / #quartoPub wish-list item a ton of people have!

Glossary (by all #PsyTeachR)

The glossary defines common jargon you might encounter while learning R. This specialised vocabulary can help you to communicate more efficiently about coding and statistics and to search for solutions to problems.

PsyTeachR books (and external websites) can link to the glossary to define common terms. Anyone can contribute to the glossary through the github project.

https://psyteachr.github.io/glossary/

I’m going to make a thread of our #PsyTeachR resources. We’re a group of psychologists at #UniversityOfGlasgow who are passionate about teaching #OpenScience. We love #rstats, but the R actually stands for #reproducibility. We’ve made a series of textbooks for undergrad and postgrad methods, plus some other resources. All our materials are CC-BY-SA, so you freely use and adapt them.

https://psyteachr.github.io

@djnavarro Thanks ☺️

@brenchurchill, the #PsyTeachR book that might suit you best is Applied Data Skills, which is an intro to #rstats covering data processing, visualisation, and reproducible reports with no inferential stats (that’s actually the easiest part to figure out on your own).

https://psyteachr.github.io/ads-v1/

@emilynordmann and I are offering it as a 10-week online class starting January 23 if you like structure (& have £), but the book is free online all the time.

https://www.gla.ac.uk/study/microcredentials/applieddataskillsforprocessingandpresentingdata/

I've just speed-written the chapter on building package vignettes for tomorrow's #PsyTeachR #CodingClub. As always, all are welcome (sign up on the EventBrite on the overview page to get the Zoom link) and it starts at 16:05 GMT+0. There are recordings for the previous week at the top of each chapter. The overview also has a link to the demopkg so far, which you can download to quickly catch up.

https://psyteachr.github.io/intro-r-pkgs/06-vignettes.html

#Introduction

Hello #Mastodon, I am a lecturer in #Psychology at UofGlasgow. Here to share my hobby #Photography & boost my interests in #OpenScience #DataScience #Methods & #RStats as part of #PsyTeachR at #UofGPsychNeuro

You’ll also see me tooting ideas on #AssessmentAndFeedback #DigitalEducation #AccessibleLearning #UDL #Teaching #Pedagogy #HigherED & #SoTL

And my #CreativeFamily family inspires me to #LoveScotland, be an #LGBTIQ ally, challenge #Racism & care about #ClimateJustice

@jennyterry @mcaleerp @juliafstrand Maybe #PsyTeachR could start a list online with links to syllabi and open teaching materials? I’ve been meaning to overhaul our website.

It's been a long time coming - excited to share our new #PsyTeachR preprint in which we make the case for teaching #dataskills & coding like #rstats at undergraduate #psychology - for #reproducibility, #openscience & #employability, we must give our students the skills they deserve & that modern science needs.

With @mcaleerp, @debruine, @HelenaPaterson, Niamh Stack, Heather Woods, Carolina Kuepper-Tetzel and Dale Barr

https://psyarxiv.com/hq68s/

Out now our #PsyTeachR pre-print paper. We made sweeping changes to our curriculum and in this paper we talk about one very important change. How we teach data skills to incorporate more computational data skills like #RStats

We give student practice in working with messy data and in processing data, emphasising it as equally important to methods and stats.

https://psyarxiv.com/hq68s/

With @mcaleerp, @debruine, @emilynordmann , Niamh Stack, Heather Woods, Carolina Kuepper-Tetzel and Dale Barr

I'm so excited to announce the #preprint of our #PsyTeachR paper, "Embedding Data Skills in Research Methods Education: Preparing Students for Reproducible Research". The team has been working on this for years.

We cover why and how to teach reproducible data preparation and analysis, with concrete examples in #rstats and #python.

Team: @mcaleerp, Niamh Stack, Heather Cleland Woods, @debruine, @HelenaPaterson, @emilynordmann, Carolina Kuepper-Tetzel, and Dale J. Barr

https://psyarxiv.com/hq68s/

Today's #PsyTeachR #CodingClub will be covering unit tests! This is a systematic way to make sure your code is doing what you expect.

While this is the 5th session in a series building an #rstats package, you don't have to have been to the previous sessions to participate. Just get the code from last week's session at https://github.com/psyteachr/demopkg (download, don't install) and you'll be all set.

When: 16:05-17:00 UK time
Where: Zoom ID: 85042042718 (pw: codingclub)
Materials: https://psyteachr.github.io/intro-r-pkgs/05-unit-tests.html

Just FYI: One of the appendices of our #PsyTeachR book for Applied Data Skills includes instructions for downloading your bird app data and doing some visualisation in #rstats.

https://psyteachr.github.io/ads-v1/twitter-data.html

Several of the #PsyTeachR team is over here now. (Dale is being salty about mastodon over on the bird app, but I've promised no interaction there in November, so can't rebut :)

Follow these wonderful humans if you're interested in open-access #rstats teaching content:
@emilynordmann
@HelenaPaterson @mcaleerp

@MattCrump
I keep thinking we need to organise a hackathon week for people who teach #rstats in psychology to share best practices and resources. I'm working on an R package for quickly setting up #PsyTeachR-style books (using #quartoPub), so maybe when that's done it will be a good time to set one up?

The course materials are, as always for #PsyTeachR, free and open source. Version 1 of the book is from last year’s course; we’ll post a new version by January.

https://psyteachr.github.io/ads-v1/

The course focuses on using #rstats to create reproducible reports, and has no stats content.

1: Intro to R and RStudio
2: Reports with R Markdown
3: Basic Data Visualisation
4: Data Import
5: Data Relations
6: Data Tidying
7: Data Wrangling
8: Data Summaries
9: Customising Visualisations
10: Advanced Reports

@mcaleerp @yabellini this is one of the specific chapters about RMarkdown in a #PsyTeachR book.

https://psyteachr.github.io/ads-v1/reports.html

#introduction:

I’m a #psych professor at the University of Glasgow and part of the #TwitterMigration. I mostly post about #rstats, #OpenResearch, #MetaScience, #BigTeamScience, #ManyFaces, and #unions academically, and #crafts 🧶, #weightlifting 🏋️, and #lgbtq 🏳️‍🌈personally.

I run the #CodingClub (a joint venture of #PsyTeachR and #MethodsMetaSci), which is learning to make an R package: https://psyteachr.github.io/intro-r-pkgs/

I’m working on a beginners’ guide to #CodeReview with https://github.com/code-check-club