We present 'Platypus', an open-source software platform providing a user-friendly interface to investigate B-cell receptor and T-cell receptor repertoires from scSeq experiments. 'Platypus' provides a framework to automate and ease the analysis of single-cell immune repertoires while also incorporating transcriptional information involving unsupervised clustering, gene expression and gene ontology. This R version of 'Platypus' is part of the 'ePlatypus' ecosystem for computational analysis of immunogenomics data: Yermanos et al. (2021) <doi:10.1093/nargab/lqab023>, Cotet et al. (2023) <doi:10.1093/bioinformatics/btad553>.

Provides functions to visualise sports data. Converts data into a 
    format suitable for plotting charts. Helps to ease the process of working with
    messy sports data to a more user friendly format. Football data is accessed 
    through 'worldfootballR' '<https://github.com/JaseZiv/worldfootballR>' which 
    gets data from 'FBref' <https://fbref.com/en>, 'Transfermarkt' <https://www.transfermarkt.com/>, 
    'Understat' <https://understat.com/>, and 'fotmob' <https://www.fotmob.com/>.

Games that can be played in the R console.  Includes coin
    flip, hangman, jumble, magic 8 ball, poker, rock paper scissors, shut
    the box, spelling bee, and 2048.

Create an interactive pizza chart visualizing a specific player's statistics across various attributes in a sports dataset. The chart is constructed based on input parameters: 'data', a dataframe containing player data for any sports; 'player_stats_col', a vector specifying the names of the columns from the dataframe that will be used to create slices in the pizza chart, with statistics ranging between 0 and 100; 'name_col', specifying the name of the column in the dataframe that contains the player names; and 'player_name', representing the specific player whose statistics will be visualized in the chart, serving as the chart title.

Implements schemes for estimating player or 
  team skill based on dynamic updating. Implemented methods include 
  Elo, Glicko, Glicko-2 and Stephenson. Contains pdf documentation 
  of a reproducible analysis using approximately two million chess 
  matches. Also contains an Elo based method for multi-player games
  where the result is a placing or a score. This includes zero-sum
  games such as poker and mahjong.