R

A personal essay on Bayes factors

’Cause you’re hot then you’re cold You’re yes then you’re no You’re in then you’re out You’re up then you’re down You’re wrong when it’s right It’s black and it’s white - Katy Perry I have mixed feelings about Bayes factors. As Katy Perry once observed, it’s extremely hard to make valid inferences when you aren’t even sure what the hell it is you’re trying to make inferences about.

Day 99-100: Small Steps

Sometime back in late April I made a strange decision to try to learn a new R package every day for 100 days. The goal was transparently ridiculous, and even at the time I was aware there was no way I could do it. Of course “a package every day” was never the primary goal. What I’d really hoped to do is get into the habit of trying out new R packages, just for my own curiosity.

Day 95-98: Press any key

I’m getting to the very end of this package tryout exercise, and I suspect this will be the last post (other than perhaps a wrap up on Friday). It’s been a mildly annoying morning: I’ve done something to my foot, I’ve been awake since 4am, and somehow my twitter feed was full of people talking about Jordan Peterson 😒 Sigh. I probably should have just blocked or muted everyone talking about him rather than engage, but what’s done is done and I’d like to enjoy the rest of my morning.

Day 82-94: Idle thoughts on my workflow

My setup is a weird mix of things that only makes sense in context

Day 67-81: Dragon taming, Rcpp edition

After being inspired by recent conferences, I feel brave enough to face one of my deepest fears and learn how to write compiled C++ code for R using the Rcpp package. It isn’t as scary as I thought it would be

Day 63-66: Learning to skim

I seem to be the last person to the party on the skimr package. For folks like myself who have been living under a rock, it’s a tidyverse style package developed by some awesome rOpenSci people, intended to provide tools for summarising (or ‘skimming’) data sets in a quick and simple way. A lot of thought has gone into it - not only is it easy to use, it has very sensible default behaviour and is flexible and not difficulty to modify. It is fun!

Day 55-62: R: The Boring Bits

It’s been a little longer than usual between posts. I’ve been extremely busy with work, and if you’ll excuse me taking a moment to celebrate achievements I’m really pleased with how it’s been going lately: I’ve wrapped up a few projects and submitted four preprints to PsyArXiv in the last month - here, here, here and here - so yay me! 🎉 It’s always nice to take a moment to celebrate when things actually seem to be going okay.

Day 53-54: Rcade

So, I was going to write a post about the Rcade package, but then I got sidetracked playing Pacman for some reason…

Day 51-52: Kabling

Today’s post is prompted by a real life situation. The R-Ladies Sydney launch event will happen in a few days time, and we’ve been overwhelmed by the number of people signing up. We opened up 75 spaces on the meetup page to fit the capacity of the venue, and not only did we fill it up there are people waitlisted too. Yaaaay! But also, eek! Lots of people means that it might be hard for people to meet and talk and get to know their fellow R-Ladies.

Day 47-50: Paletter

Okay! It’s a Thursday evening. Solo parenting is over. My partner is back in town. The kids are in bed. Tina Turner is playing over the wireless. I’m the last one awake. Time for an R post, because that’s just the kind of girl I am. As usual, my inspiration is the wonderful #rstats twitter community, and today’s discovery was prompted by this very fun tweet by Natalie Pilakouta: It’s conference season!