Blog

Ulysses Contract: Navigating the Tempting Waters of P-Hacking

This post relates a Greek mythological tale to lessons in safeguarding against temptations of statistical malpractice.

Computing P Values Using Permutation Test

This post presents the use of resampling statistics in computing and understanding p-values.

Frailty Transition: Forecasting using Markov Chain Simulation

This post presents the implementation of Markov chains in R programming language to simulate transition of frailty states.

WebR: Running R Codes in Web Browser!

This post showcases the ability to run R codes in a web browser.

Singapore Presidential Election 2023: How Good Sampling can make Good Inference about the Population

This post presents the strength of randomised sampling to make inferences about the population as exemplified in the recent Singapore Presidential Election 2023.

Durability - The New Physiological Measure to Predict Endurance Performance

This post writes about the research behind a newly proposed physiological measure and its applications in prolonged endurance exercise performance.

Solving my Gachapon frustration: Application of the Euler’s approximation for harmonic sums

This post presents the use of the Euler’s approximation for harmonic sums to solve the capsule toy problem and simulations to verify the formula.

Shiny Dashboard: Reference Values of Physical Performance for Singaporean Adult Population

This post presents a simple dashboard built with R Shiny, which allows users to find out age- and sex-specific reference values of various physical performance tests for…

Reactable: Visualising FIFA World Cup 22 data in an interactive table

Data visualisation

This post presents the use of the reactable package in R to create an interactive table to visualise data on the FIFA World Cup 22 participating teams.

Bayesian versus Frequentist solutions to the Monty Hall Problem

This post presents the use of both bayesian and frequentist approaches to solve the famous Monty Hall problem.

Tokyo Olympics: Analysis of the 1500m Event’s Pacing Strategy using the Concept of Critical Speed

This post employs the concept of critical spped to analyse the pacing strategy in the 1500m event finals at the Tokyo Olympics.

All about that Bayes: Why individuals appraise similar evidence differently?

This post presents how Bayesian inference explains why different individuals appraise similar evidence differently.

Radar charts in R: Visualising playing styles of EPL football teams

Data visualisation

This post visualises the playing styles of English Premier League football teams with the use of radar charts.

The end spurt in marathon running: A universal behaviour?

This post examines the prevalence of the end spurt in marathon running based on data from Standard Chartered Singapore Marathon 2019.

Liverpool’s success: Lucky or worthy winners?

Data visualisation

This post examines whether Liverpool’s title winning success is attributed to luck or genuine performance based on the expected goals metric.

Spatial visualisation with ggmap: Covid-19 clusters in Singapore

Data visualisation

This article documents the visualisation of Singapore’s Covid-19 clusters on the map using R programming

Pace variation in Marathon running: Analysing data from Standard Chartered Singapore Marathon 2019

This post examines whether variation in marathon running pace differs among runners of different performance levels.

Web Scraping Goodreads with BeautifulSoup: Popular runnning books

This post documents the use of Python to scrape popular running books from Goodreads using the BeautifulSoup package.

Lactate Paradox

This post writes about the phenomenon of reduced blood lactate concentration found with increasing altitude.

Animated Data Visualisation of the Covid-19 Pandemic using R

Data visualisation

This article visualises how the covid-19 pandemic has evolved in certain countries using animated line plots in R.

Web Scraping and Data Visualising with R: EPL 19/20 Goal Stats

This article documents a walk-through on web scraping data on English Premier League teams from Wikipedia and visualising the data using R.

Is the English Premier League getting more competitive?

This post examines and compares the competitiveness of different English Premier LEague seasons based on coefficient of variation metric.

Can possession predict wins in football?

This post explores the use of logistic regression to examine whether football possession can predict wins in football with data from EPL 18/19.

Your perception is your reality

This post highlights the importance of study perception in the sport science domain, especially in the context of exercise regulation