All #HealthyR #rstats advent calendar posts of R tips now at https://healthyradvent.netlify.app/

Most popular:
💡Understanding linear/logistic regression
📈Univariable vs multivariable
⚰️Confounding

JKL20 for 20% off, free worldwide shipping: https://www.routledge.com/R-for-Health-Data-Science/Harrison-Pius/p/book/9780367428198

Are you tired of manually copying and pasting data from multiple sheets in an Excel file? Say no more! In this post, we will show you how to use R programming to read in an Excel file with multiple sheets using a simple function.

Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-04-07/

#data #dataanlysis #excel #readxl #healthyr #r #rstats #opensource #softwaredevelopment #tibble #dplyr

🌟Day 24 - Season's Greetings, Part 3/3🌟

+ scale_fill_identity()

I use scale_fill_brewer() or scale_fill_manual() more, but this works well here 🎄

That's the #HealthyR #rstats Advent Calendar! Thank you for thinking along and happy holidays 🎉

Our courses and free resources: https://healthyr.surgicalinformatics.org/
Image code at: https://gist.github.com/riinuots/f7911684e8e6f6b1a0388652ad182c79

🌟Day 23 - #HealthyR #rstats Season's Greetings, Part 2/3🌟

Note the two different ways of creating data - tibble and tribble. This is useful if you need to make a reproducible example!

Anyone want to guess what tomorrow's single additional line is?
https://gist.github.com/riinuots/f3d2788b6a43c927f3485c6b8f9a1da0

🌟Day 22 - #HealthyR #rstats Season's Greetings, Part 1/3🌟

That's enough regression for this year!

Execute this code in your head or an IDE, further instalments coming on the remaining days of our Advent Calendar 2022 🎄 https://gist.github.com/riinuots/52c0089bd5c41a44389e95cc8cb3943d

RT @_Riinu_@twitter.com

🌟Day 21 - confounding🌟

Same made-up data on both plots.

A - coffee seems to have an effect on blood pressure
B - except that it was completely confounded in heavy coffee drinkers also smoking

#HealthyR #rstats "R for Health Data Science"📖 :
https://argoshare.is.ed.ac.uk/healthyr_book/regression.html

🐦🔗: https://twitter.com/_Riinu_/status/1605472007272861696

RT @_Riinu_@twitter.com

🌟Day 21 - confounding🌟

Same made-up data on both plots.

A - coffee seems to have an effect on blood pressure
B - except that it was completely confounded in heavy coffee drinkers also smoking

#HealthyR #rstats "R for Health Data Science"📖 :
https://argoshare.is.ed.ac.uk/healthyr_book/regression.html

🐦🔗: https://twitter.com/_Riinu_/status/1605472007272861696

🌟Day 21 - confounding🌟

Same made-up data on both plots.

A - coffee seems to have an effect on blood pressure
B - except that it was completely confounded in heavy coffee drinkers also smoking

#HealthyR #rstats "R for Health Data Science"📖 https://argoshare.is.ed.ac.uk/healthyr_book/regression.html

🌟Day 20 - We're just trying to find a model that best describes the data🌟

Same made-up data on each plot:
A univariable
B, C multivariable
Note the R-squared 😉

#HealthyR #rstats "R for Health Data Science"📖 chapter: https://argoshare.is.ed.ac.uk/healthyr_book/regression.html

🌟Day 19 - Restart R regularly🌟

Do this now so that old data won't come back to haunt you:
👻Tools -> Global Options
👻👻Uncheck restore
👻👻👻Never save on exit

Then save and load objects consciously!

#HealthyR #rstats "R for Health Data Science"📖:
https://argoshare.is.ed.ac.uk/healthyr_book/restart-r-regularly.html

🌟Day 18 - RStudio interface for R Markdown🌟

Lots of useful buttons and options 🙈
Here are the most useful ones 💡

#HealthyR #rstats "R for Health Data Science" 📖:
https://argoshare.is.ed.ac.uk/healthyr_book/interface-and-outputting.html

🌟Day 17 – Understanding R Markdown🌟

Header📍
Headings🗂
Text📝
Inline code - code inside text💙
Code chunk💙
Output (in this example it's a plot)📈

#HealthyR #rstats "R for Health Data Science" 📖:
https://argoshare.is.ed.ac.uk/healthyr_book/the-anatomy-of-a-notebook-r-markdown-file.html

RT @_Riinu_@twitter.com

🌟Day 16 – Understanding logistic regression🌟

Dependent (=outcome): adverse event (Yes/No)

Explanatory variables:
cups of ☕ (n); 🚬 (Yes/No)

(made-up data)

Weekend posts will be lighter, promise 🧠

#HealthyR #rstats "R for Health Data Science" 📖:
https://argoshare.is.ed.ac.uk/healthyr_book/binary-logistic-regression.html

🐦🔗: https://twitter.com/_Riinu_/status/1603656397132103680

RT @_Riinu_@twitter.com

🌟Day 15 – Understanding linear regression🌟

Real talk - first step to understanding logistic regression is understanding linear regression. So please have a 👀 and 🧠 even if your data needs log./Cox.

#HealthyR #rstats "R for Health Data Science" 📖:
https://argoshare.is.ed.ac.uk/healthyr_book/regression.html

🐦🔗: https://twitter.com/_Riinu_/status/1603284417040072704