Been teaching undergrad stats for 7 yrs & decided to switch to R for next yr - b4 ever using R (I use STATA but teach JASP). Spent the last week (like 30m/day) trying to do everything we do in the course from scratch. Couldn’t. Leaving this here to remember how it feels to start.

— Gregory RSL (@GregoryRSL) May 3, 2020

I am committed to learning it. Can someone direct me to your favorite tutorials? What do you use to get students started in your own r-based courses? I feel like it will take me at least a year of using it to be able to teach in it.

— Gregory RSL (@GregoryRSL) May 3, 2020

I remember feeling the same way. Our education team @rstudio collected 6 beginner friendly starting points that may help: https://t.co/252ISnrJ7K

— Alison Presmanes Hill (@apreshill) May 4, 2020

When it comes time for visualization, I really like the ggplot 2 page cheat sheet here (the sheet further down for base r looks good too): https://t.co/AdpryIAWoE

— Dan Weiner (@danweiner92) May 3, 2020

Also definitely definitely use rstudio not r on its own! Also violin graphs are my favorite and I’d be honored to be on call for all violin graph help:) pic.twitter.com/21yIaISNO7

— Bergelson Lab (@bergelsonlab) May 3, 2020

I found it much easier to learn once I started using Tidyverse- I’ve put together some tutorials that I’ve used for teaching undergradshttps://t.co/0qMjqnfZx1

— PJ Ryan (@PJRyan89) May 4, 2020

Try Swirl. It helps you learn R, in R (and it's super encouraging throughout). They have options for creating your own interactive content as an instructor, too! https://t.co/LDO0dqFfn3

— Kruti Vekaria (@KrutiVekaria) May 4, 2020

fwiw, we have folks in our lab start with software carpentry R intro and like these tools for display https://t.co/uLmIZVUWZI

— Michelle Voss (@vosshbc) May 4, 2020

FYI I’m re-writing it. In the meantime I have interactive tutorials: https://t.co/fhtkX4ouQ5

— Andy Field (@ProfAndyField) May 5, 2020

For regressions I recommend “Mixed Effects Models and Extensions in Ecology with R” by Zuur et al. And “Data Analysis with R Statistical Software A Guidebook for Scientists” by @RobThomas14 et al. For plots I suggest the ggplot2 website tutorial https://t.co/FrcI6ak4vh

— Dr Patrizia Piotti 🐶🐱🧠🧩🩺🏳️‍🌈 (@PiottiP) May 4, 2020

I have a ton of stuff for students and learners alike at the statistics of doom YouTube channel. https://t.co/Oy99tWgFmc

Also recommend psyteachr: https://t.co/EzEAaP74Pk and @djnavarro https://t.co/UE2e1K8QBA

— Dr. Erin Buchanan (@aggieerin) May 4, 2020

Try @datalabcc tutorials. I had the same experience over 2-3 years and feel your pain. I recommend finding a local R expert (statistician) to help develop curricula.

— Jay Patel (@metasdl) May 4, 2020

I have a ton of videos. I’ve created a whole series teaching an intro to R for my courses at UBC. They assume no prior knowledge of R: https://t.co/lAR0ECcqSe

— MarinStatsLectures (@StatsMarin) May 4, 2020

Start with Rcmdr. John Fox provides a tutorial - see J of Statistical Software ... good luck. I have an PowerPoint on how to install R along with Rcmdr.

— Don the Pragmatist (@PragmaticDon) May 4, 2020

I just posted some videos from my intro to R workshop (https://t.co/P8GW1NLEC1). Check it out if you want to see what an introduction to R without Tidyverse might look like. For what it's worth, I love base R and consider it to be the most intuitive language I have used.

— Sara Emily Burke (@saraemilyburke) May 5, 2020

Hey from up the road. I’ve been teaching a workshop for beginners that will become a course in summer I. My tip is start with tidyverse. Happy to sit together and review materials once people do that again. https://t.co/1h50KIj0HRhttps://t.co/u1ORpbFn2J

— Eric Green (@ericpgreen) May 4, 2020

This series of workshops was very helpful to me when I was first learning. There are 10 modules with matching wiki pages that are detailed enough to work without attending the workshop. Great reference resource for students just starting. https://t.co/2scU7zc7HW

— Grant Haines, highly derived sarcopterygian (@GrantEHaines) May 4, 2020

Check out Michael Clark’s “Data Processing and Visualization in R” here:https://t.co/SYo0c4vp0C

This is a very popular workshop at Michigan.@pdakean

— Brady West (@bradytwest) May 4, 2020

I recommend this resource for getting used to R and teaching with with it https://t.co/rLThY3tKDw

— Brenton Wiernik 🏳️‍🌈 (@bmwiernik) May 4, 2020

My book https://t.co/c8FKWJxU8M is designed for an intro audience.

— Jacob Kaplan (@JacobKaplan19) May 4, 2020

I use @CourseKata’s really wonderful online text to teach R. The trick has been finding a set of packages that work well together to keep functions the students use intuitive. E.g. we use ggformula because it follows the same structure as an lm command.

— Dr. Amanda Kay Montoya (@AmandaKMontoya) May 4, 2020

Some disagree, but when I did R for beginners at bootcamp, I taught tidyverse: https://t.co/xvLHlppAfi

— John Pearson (@jmxpearson) May 3, 2020

Also this is awesome https://t.co/tagnY0G3Vh

— Bergelson Lab (@bergelsonlab) May 3, 2020

All our methods course textbooks at @UofGPsychology are free and open source. They might be helpful. https://t.co/FP81j9eAxv

— Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine) May 4, 2020

Check out the e-book by @rafalab https://t.co/OO2cUzOAf8

— Michael Zelenetz (@mzelenetz) May 4, 2020

I am forcing myself to learn R right now and have found Russ Poldrack’s website to be really helpful. https://t.co/sIVoLeVFHn

— Jatin Vaidya (@vaidya_jg) May 3, 2020

If you're looking for a textbook, I started with "Discovering Statistics using R" by @ProfAndyField, Zoë Field, Jeremy Miles. I found it to be a very good launch pad for a complete beginner because it built on concepts slowly and methodically.. plus it has some 🔥 \m/ refs

— Sana Suri (@sanasuri) May 4, 2020

That said, I also quite enjoyed YaRrr - a pirate's guide to R https://t.co/jPFRIYrser

— Vaida Rimeikyte (@vaidarim) May 4, 2020

How about this? https://t.co/nsXFlxBsMD

— Jon M Jachimowicz (@jonj) May 3, 2020

Yes, we developed R-based activities and labs for psych research methods. You can find them on our OSF repo (under Labs): https://t.co/ZzwN6ZCdLf I empathize with the challenge, Gregory. I was a relative newbie in R when I started teaching it. It gets easier!

— Alexia Galati (@alexiagalati) May 4, 2020

One of the better R experiences I've had was in Todd Stuery's ecological analysis class at @AuburnU! Links to code, data, and lecture recordings are here (https://t.co/LywYKLit0i). PS. The datasets are about bears, wolves, hawks, etc., so that's fun 🤓

— Julio Alejandro Yanes (@theyanespost) May 4, 2020

In case it's helpful: We've been teaching R to psych undergrads for two years and they seem to able to do it. All our materials are here https://t.co/1phUmiZbzn Worksheets written by @ajwills72

— Peter Jones (@PeterJonesPsych) May 4, 2020

Thanks @AnaYEstevez1! Here's the link to the #teachingR paper. It's #openaccess; feel free to share with others! https://t.co/CXm54nuZiR

— Linda Auker, Ph.D. (@AukDoc) May 5, 2020