Articles by Theory meets practice...

How to Win a Game (or More) of Super Six

March 12, 2023 | Theory meets practice...

Abstract: We use simulation to analyse the family dicing game “Super Six”. In particular we show that the person starting the game has a very high chance of winning the game. Furthermore, a robust strategy to play during the game is to keep throwing the dice regardless of the number ...
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Anthropometric Birthday Cards

June 10, 2022 | Theory meets practice...

Abstract: We visualize children reference populations for height, weight and body mass index by plotting percentiles of the population as a function of age. Besides the epidemiological interest in these anthropometric curves, they have dual-use potent...
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Superspreading and the Gini Coefficient

May 30, 2020 | Theory meets practice...

Abstract: We look at superspreading in infectious disease transmission from a statistical point of view. We characterise heterogeneity in the offspring distribution by the Gini coefficient instead of the usual dispersion parameter of the negative binomial distribution. This allows us to consider more flexible offspring distributions. This work is licensed ... [Read more...]

Effective reproduction number estimation

April 14, 2020 | Theory meets practice...

Abstract: We discuss the estimation with R of the time-varying effective reproduction number during an infectious disease outbreak such as the COVID-19 outbreak. Using a single simulated outbreak we compare the performance of three different estimation methods. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+... [Read more...]

Flatten the COVID-19 curve

March 15, 2020 | Theory meets practice...

Abstract: We discuss why the message of flattening the COVID-19 curve is right, but why some of the visualizations used to show the effect are wrong: Reducing the basic reproduction number does not just stretch the outbreak, it also reduces the final size of the outbreak. This work is licensed ... [Read more...]

Scraping the Sugarcoat

January 21, 2020 | Theory meets practice...

Abstract: Web-scraped data are used to put a Rubik’s cube competition result into perspective. The sugarcoating consists of altering the sampling frame of the comparison to the more relevant population of senior first time cubers. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr ... [Read more...]

Speedmining the Cubing Community with dbplyr

May 5, 2019 | Theory meets practice...

Abstract: We use the RMariaDB and dbplyr packages to analyze the results database of the World Cubing Association. In particular we are interested in finding unofficial world records of fastest 3x3x3 solves, countries with large proportion of female cubers as well as acceptable solving times before entering a WCA ... [Read more...]

A Shiny app for your perfect circle

February 14, 2019 | Theory meets practice...

Abstract: The perfect circle is a shiny app providing a user friendly interface to the algorithm described in the previous blog post Judging Freehand Circle Drawing Competitions. The app allows one to score freehand circles directly from the mobile by uploading photos of them them to a shiny server. An ... [Read more...]

Purr yourself into a math genius

January 3, 2019 | Theory meets practice...

Abstract: We use the purrr package to solve a popular math puzzle via a combinatorial functional programming approach. A small shiny app is provided to allow the user to solve their own variations of the puzzle. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr ... [Read more...]

World Income, Inequality and Murder

July 8, 2018 | Theory meets practice...

Abstract: We follow up on last weeks post on using Gapminder data to study the world's income distribution. In order to assess the inequality of the distribution we compute the Gini coefficient for the world's income distribution by Monte Carlo approximation and visualize the result as a time series. Furthermore, ... [Read more...]
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