# R-posts

## Riddler: Can You Beat MLB Recods?

A simple statistical solution to this Riddler accompanied by descriptive simulations.

## Uncanny X-Men: Bayesian take on Dr. Silge’s analysis

I present a breif take on Dr. Silge's Uncanny X-Men analysis using Bayesian methods.

## Riddler: Can You Just Keep Turning?

Using simulation in R to solve this directionally-discombobulating puzzle.

## Riddler: Can you solve the not-so-corn maze?

How I used graph theory in R to solve a mathematical corn maze.

## Riddler: Can You Track The Delirious Ducks?

I used simulations in R to solve this Riddler about how long it takes for confuded ducks to find each other in a pond.

## Riddler: Can You Roll The Perfect Bowl?

I used simulation with to approximate the solution an older Riddler. I used an gradient descent-like method to gradually narrow in on a precise estimate.

## Riddler: Can You Solve This Rather Pedestrian Puzzle?

I used graphs to solve this weeks Riddler to find the difference in shortest paths resulting from a change to the sidewalk layout of Riddler City.

## Riddler: Can You Tell When The Snow Started?

This puzzle was to find the shortest paths of two indivduals sharing a sidewalk while obsering the COVID-19 6-foot social distancing guideline. I simulated the scenario in R and plotted the travels of the individuals using 'gganimate'.

## Riddler: Can You Flip Your Way To Freedom?

For this week's Riddler, we were asked to solve the 3D structure given a series of cross-sections. I used R to reconstruct this structure and presented it as an interactive plot.

## Riddler: Can You Solve The Chess Mystery?

This week’s Riddler involves finding the path used by the knight to kill the opposing queen in a game of chess. I show how I solved puzzle using two methods: a siumulation of the chessboard and by building a graph of the possible paths for the knight.