Throughout the Epiverse project, we use the renv R package to ensure reproducibility of the training materials and the pipelines we are providing. But we sometimes get reports from users who struggle to rebuild the environment and run the code. In this post, we dissect the source of these issues, explain why in reality renv is not at fault, and how this is caused by the inherent complexity of reproducibility.

Embark on a journey into the realm of Dungeons & Dragons as we unravel a captivating fiddle riddle involving a dice duel. Using the power of the R programming language and the Monte Carlo simulation method, we’ll simulate the outcomes of duels between two players, each armed with a bag containing six distinct DnD dice. Prepare to explore the fascinating world of probability and randomness!

Complete tutorial and code See the full tutorial here. You can also see the tutorial’s code here and the code for the final API here.

In this blog post, we’ll delve into the realm of casino roulette and use R simulations to estimate the frequency of the number 0 appearing over the span of a year (40 spins per hour x 24 hours x 365 days) . Roulette, a classic casino game, is known for its unpredictability, making it an interesting subject for probability exploration.

Rambling (proxy for an introduction) We are experiencing the chaos of the information age, and its technological advents with voracious evolution and expansion. And in the midst of all this we have the advent of Big Data that has reached the delights of many with Data Science, Machine Learning and Artificial Intelligence. As a result, the idea of mathematical and statistical “models” became the rage, gaining visibility.

In this blog post, we will dive into the fascinating world of coin flip sequences. Leveraging the capabilities of R, we will conduct simulations to gain insights into the probabilities of consecutive sequences of heads or tails. Let’s kick things off by simulating coin flips using R. We’ll conduct experiments with varying numbers of flips to observe how the results evolve.

Have you ever wondered why casinos seem to have a mysterious edge, making them consistently profitable? Let’s explore a paradox in the world of gambling, where the number zero takes center stage and helps the house always come out on top. To illustrate this phenomenon, let’s simulate the game of roulette using the R programming language. We’ll focus on a simple bet: predicting whether the ball will land on red or black.

Today, we embark on a visual exploration of card shuffling, delving into a captivating technique known as the Faro shuffle. Unlike conventional shuffling, the Faro shuffle promises not just randomness but a mathematical symphony that unfolds card by card, a dance that echoes with the precision of numbers. In the quest to unravel the intricacies of card shuffling, we turn to the Faro shuffle, a technique that mimics the graceful dance of cards.

The Monty Hall problem is a famous probability puzzle. In this scenario, a contestant on a game show is presented with three doors. Behind one door, there is a car, while behind the other two, there are goats. The contestant chooses one door, and then the host, Monty Hall, who knows what is behind each door, opens one of the remaining two doors to reveal a goat.

Dice rolling is a pastime enjoyed by many, whether in board games or games of chance. But have you ever wondered how the sum of multiple dice rolls behaves when you roll them repeatedly? In this blog post, we embark on a journey into the world of dice rolls and the fascinating Central Limit Theorem. We’ll uncover how the sum of dice rolls can transform into a Gaussian distribution as the number of rolls increases.