Melinda Higgins retweeted
webr (r-wasm) is so powerful!
The r-universe node stack now provides data export links, which use webr to convert pkg datasets on-the-fly to json (via jsonlite) xlsx (via writexl), csv (via data.table), etc. Try it yourself eg: tidyverse.r-universe.dev/ggp…
#rstats
Melinda Higgins retweeted
Quick tip: How to create a boxplot that has the same border colour as the fill colour, only darker.
Get the cheat sheet for free here: christianb.gumroad.com/l/ggp…
#rstats #tidyverse
Melinda Higgins retweeted
Quick Tidyverse tip: How to create text files for each day of a year based on a date vector
#rstats #tidyverse
Melinda Higgins retweeted
Replying to @ecodiegoale
Sorry about that! Here's the right link:
youtu.be/jiYVkyWGrbs
Melinda Higgins retweeted
There was an audible "WOW" from the audience when @juliesquid showed how you can paste in DOI and automatically generate a citation.
Just flicking through @minebocek & @juliesquid slides & watching pre-recorded demos has 🤯🤯🤯!!
Masterful show of just HOW POWERFUL @quarto_pub IS for enabling open scientific communication. 🚀
Do yourself a favour and check it out. You will be 🤯 with the possibilities!
Me too. I learned S/SPlus in grad school and SAS on a mainframe. Before that I learned Pascal in undergrad and Basic in high school on punch cards.
Melinda Higgins retweeted
Breaking a talk into episodes is not only great for the audience, but it can also make talk prep feel less overwhelming. You can work on different episodes, depending on which type of mental energy you are able to summon that day.
Replying to @coles_nicholas_
2. Break up your talk.
Why is it that we say no to a 3-hour movie but yes to binging six 30-minute episodes? Because episodes break things up
I now think of a 60-minute talk as 4-6 episodes. Each should give people a brief break (e.g., for questions) and leave them wanting more
Melinda Higgins retweeted
Either while debugging or learning a new function, you may wish to understand its implementation logic.
The {flow_view} function from {flow} 📦 helps visualizes this logic via a flow diagram! 🔷🔶
moodymudskipper.github.io/fl…
#rstats #DataScience
Melinda Higgins retweeted
Exploring Cricket World Cup data for this week's #TidyTuesday. Excited to use this as an opportunity to try gtExtra, love this library @thomas_mock makes tables easy & beautiful!
Focused data on 1996, first ever win for Sri Lanka 🏏
Code #RStats 🔗: git.io/JM2za
Melinda Higgins retweeted
My #rstats solutions to Day 1 of #AdventOfCode
* lag() and lead() from dplyr are so useful!
* Part 2 uses a handy trick: sliding windows of length 3 will have the middle values in common, so you can just compare the values that enter/exit the window
Melinda Higgins retweeted
I'm writing a book about the science behind the news. It's about how scientists do science, and how their studies aren't always what you think they are. How, often in good faith, scientists take shortcuts that invalidate their findings, and how you too can spot these.
Melinda Higgins retweeted
#Statistics thought of the day: Witnessing the continued hype of #AI by academic medicine and industry makes me think that we should spend more time on #RHI (Real Human Intelligence). @vandy_biostat @VUDataScience #StatThink @MaartenvSmeden
Melinda Higgins retweeted
plotme: Complex plots made easier github.com/yogevherz/plotme
#Rstats


































