Survivor Do or Die: Should you sit out or fight for immunity?
Simulation analysis in R to determine the odds of success behind the Do or Die twist in Survivor
Simulation analysis in R to determine the odds of success behind the Do or Die twist in Survivor
I’m happy to announce that survivoR v1.0 is now on CRAN. The package now contains all the features intended for […]
After episode 9 of season 42 of Survivor, there was a lot of discussion of implicit racial bias in Survivor. […]
If you’ve been watching Australian Survivor Blood vs Water you will have noticed a handful of people getting a lot […]
I am pleased to announce survivoR 0.9.2 is now on CRAN. The survivoR data package is a collection of datasets […]
596 episodes. 40 seasons. 1 package! I’m a pretty big fan of Survivor and have religiously watched every season since […]
A while ago I simulated Martingale strategies and some variations. This is the strategy where you double your bet on […]
What’s that saying? Choice is the enemy of happiness, or something like that. There are so many colour palettes out […]
Generative Adversarial Networks are great for generating something from essentially nothing and there are some interesting uses for them. Most […]
Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent […]
Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […]
If you’re like me, when running a process through a loop you’ll add in counters and progress indicators. That way […]
In my previous post I built a Shiny app mapping accidents on Queensland roads which was great at showing the […]
The Queensland government collects data on road accidents dating back to 1st January 2001 and details characteristics of the incident […]
The Buffalo Stampede is one of the most brutal races on the ultra calendar covering 75km and 4545m of climbing. […]