How to crop an image to a circle in R with {cropcircles}
I hadn’t found a super-easy-you-don’t-have-to-think-about-it way to crop an image to a circle in R with a transparent background. There’s […]
Category: R
Survivor Confessionals Data: Dataset showcase for {survivoR}
Confessionals loosely represent a player’s screen time where they talk strategy and replay events. It is an imperfect measure but […]
How to use multiple colour scales in ggplot with {ggnewscale}
For week 23 of Tidy Tuesday the chart I wanted to make required two colour scales. For context the dataset […]
Survivor Advantages: Dataset showcase for {survivoR}
Advantages were introduced to Survivor to give players an edge and to shake up the strategy. A successful play can […]
survivoR v1.0 is now on CRAN
I’m happy to announce that survivoR v1.0 is now on CRAN. The package now contains all the features intended for […]
survivoR now on CRAN!
I am pleased to announce survivoR 0.9.2 is now on CRAN. The survivoR data package is a collection of datasets […]
survivoR | Data from the TV series in R
596 episodes. 40 seasons. 1 package! I’m a pretty big fan of Survivor and have religiously watched every season since […]
Evolve new colour palettes in R with evoPalette
What’s that saying? Choice is the enemy of happiness, or something like that. There are so many colour palettes out […]
Some basics and intuition behind GAN’s in R and Python
Generative Adversarial Networks are great for generating something from essentially nothing and there are some interesting uses for them. Most […]
Simulating data with Bayesian networks
Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent […]
Use more of your data with matrix factorisation
Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […]
Fun with progress bars: Fish, daggers and the Star Wars trench run
If you’re like me, when running a process through a loop you’ll add in counters and progress indicators. That way […]
Bayesian estimation of fatality rates and accidents involving cyclists on Queensland roads
In my previous post I built a Shiny app mapping accidents on Queensland roads which was great at showing the […]
Queensland road accidents mapped with Shiny and leaflet in R
The Queensland government collects data on road accidents dating back to 1st January 2001 and details characteristics of the incident […]
Applying gradient descent – primer / refresher
Every so often a problem arises where it’s appropriate to use gradient descent, and it’s fun (and / or easier) […]
