Season 10 is now included in {alone} v0.3
Another great season of Alone has finished. I’ve now included all data in the {alone} R package. Version 0.3 is […]
Tag: Statistics
In Survivor is entering the merge down on numbers a disadvantage?
It’s usually seen as beneficial to enter the merge with the numbers. Here’s an analysis in R with the survivoR package to see if this is true.
Alone Survival Analysis
Is there a difference in survival rate between men and women on Alone? Survival analysis in R with the Alone R package.
Do confessionals give away the winner of Survivor?
Confessional counts are often great for indicating who the key players are in a season of Survivor. But do confessionals […]
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 […]
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 […]
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 […]
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) […]
Bayesian Network Example with the bnlearn Package
Bayesian Networks are probabilistic graphical models and they have some neat features which make them very useful for many problems. […]
Cribbage: Optimal Hand (part 1)
Cribbage is one of my favourite card games and have been playing it ever since I could count. It is […]
Probability of Selecting Matched Pairs and the Hypergeometric Distribution
The problem Consider a case where we have a bag of marbles of size . The bag consists of black […]
PCA vs Autoencoders for Dimensionality Reduction
There are a few ways to reduce the dimensions of large data sets to ensure computational efficiency such as backwards […]
Confidentialise Your Data with the randomNames Package
Sensitive data has it’s restrictions for good reason. Personal data such as names and other identifiable information should be protected. […]
Improve Your Training Set with Unsupervised Learning
On my previous post Advanced Survey Design and Application to Big Data I mentioned unsupervised learning can be used to […]
Advanced Survey Design and Application to Big Data
I like to describe Official statistics as the All Bran of statistics, it’s bland and a bit boring but it […]
