I feel like we could collectively come up with some great bond flick names re: #rstats, #GitHub, etc π
I submit for your approval: terrible ideas only.
"MIT License to Kill"
"Rebase Another Day"
"The Dev Who Reviewed Me"
I feel like we could collectively come up with some great bond flick names re: #rstats, #GitHub, etc π
I submit for your approval: terrible ideas only.
"MIT License to Kill"
"Rebase Another Day"
"The Dev Who Reviewed Me"
Moonrakerror: object of type 'closure' is not subsettable
I had no idea the context for this quote and my mind immediately thought "live, love, lapply"
From CRAN without love
You only ?pivot_wider twice
ggplot2::diamonds are forever
It's extremely funny to me that on Play School they take a time machine to the olden days aka the 80s and 90s
I love this post by @jacobharr.is, it describes all my other feelings about LLMs that I didn't manage to cover in my post from a couple of months ago:
benharrap.com/post/2025-10...
To my health researcher colleagues: when you're looking at routinely collected data (over many years) and you're interested in the relationship b/w two kinds of events (say, diagnosis for diseases A and B), how do you best deal with time gaps (eg people moving)? Obviously these introduce time bias >
It's a real stretch to conclude anything from that paper, I've never seen so many p-values in my life π΅
"Associated with" does not mean linked to, there's no causal relationship identified β this is cross-sectional research
In very exciting news, Slay the Spire 2 has come out (early access mind you)
store.steampowered.com/app/2868840/...
On one hand, I could use packages like renv to mitigate versioning issues
On the other hand, I could just update every package each time I open R and fix whatever breaks
#rstats
There's only so many failed grant rounds someone can take before they do an analysis showing the inter-rater reliability of grant reviewers is so poor that we may as well just do a lottery...
And use the saved dollars in program administration to fund more research!
Thanks Prof Andy Field! What an honour to have you comment on a post haha, it feels like yesterday I was reading your SPSS book in undergrad (it was more than a decade ago π±π§)
If my selection-biased sample of R people I follow is anything to go by, we're all lovely, considerate, enthusiastic people π
Nice, this is what I'm hoping for
Ah amazing! No rush on my part, this is several months away
A four-panel meme of a person slowly applying clown make-up. 1: Yep I'll review that grant application 2: Sure, I'll supervise some students 3: OK I'll organise that conference 4: I didn't write any code today
I love my job, I get to write code all the time
Yessss this is exactly what I have in mind! Have you got slides to share?
For students? For you? Spill the beans!
Yeah student context matters for sure. They're a cohort of Epidemiology students and I have 90mins for a crash course
The sense I get is R familiarity and data management/manipulation is the main priority
Stats methods come later in the course
My reason for tidyverse first is it's more readable and I want to teach conceptual foundations for why we're programming
Code that's easy to read (I hope) means students spend less time going "wtf?" and have an easier time learning
The wtf can come later once they have some confidence/competence
For the #rstats equivalent, I wanna hear your pros and cons of starting with tidyverse over base
In particular for people with no programming background or with programming anxiety
I'm planning to teach an intro course that's tidyverse-first, with base context later
Gotta learn the weaknesses of inferior languages so you are better equipped to convert people to the One True Language
π¨Job alertπ¨
Research Associate working on new machine learning and digital forensics capabilities for police β particularly in the context of enhancing CSA investigations
jobs.adelaide.edu.au/jobs/researc...
#PythonProgramming #AIML #datascience
new package alert! {tidychain} is a #rstats packaged inspired by the below authors experience in showing how an excel file was changed / manipulated by looking at the underlying xml files to prove fraud in research
datacolada.org/109package
usrbinr.codeberg.page/tidychain/
A king parrot peeking through something foliage
King parrots β€οΈ
HEY! This post is a spicy-free zone
The dumpster fire might be a bit of hyperbole
I thought I'd say something for the non-participant observers too π