#r package

GooglyPlusPlus2021:ICC WC T20:Pavilion-view analytics as-it-happens!

This year 2021, we are witnessing a rare spectacle in the cricketing universe, where IPL playoffs are immediately followed by ICC World Cup T20. Cricket pundits have claimed such a phenomenon occurs once in 127 years! Jokes apart, the World cup T20 is underway and as usual GooglyPlusPlus is ready for the action. GooglyPlusPlus will provide near-real time analytics, by automatically downloading…

Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlus

IPL 2022 has just concluded and yet again, it is has thrown a lot of promising and potential youngsters in its wake, while established players have fallen! With IPL 2022, we realise that “Sceptre and Crown must tumble down” and that form and class like everything else are “shadows not substantial things” (Death the Leveller by James Shirley). So King Kohli had to kneel, and hitman’ himself got…

Player Performance Estimation using AI Collaborative Filtering

1. Introduction Often times before crucial matches, or in general, we would like to know the performance of a batsman against a bowler or vice-versa, but we may not have the data. We generally have data where different batsmen would have faced different sets of bowlers with certain performance data like ballsFaced, totalRuns, fours, sixes, strike rate and timesOut. Similarly different bowlers…

yorkr rocks women’s One Day International (ODI) and International T20!!

“Life is not measured by the number of breaths we take, but by the moments that take our breath away.” Maya Angelou

“Life shrinks or expands in proportion to one’s courage.” Anais Nin

“Devotion to the truth is the hallmark of morality; there is no greater, nobler, more heroic form of devotion than the act of a man who assumes the responsibility of thinking.” Ayn Rand in Atlas Shrugged

Introduction

Updated:Analyzing performance of cricketers and cricket teams with cricketr templates

Note: I have included the latest set of functions that perform granular analysis of batsmen and bowlers to the cricketr template below! You can download this RMarkdown file from Github at cricketr-template 

This post includes a template which you can use for analyzing the performances of cricketers, both batsmen and bowlers in Test, ODI and Twenty 20 cricket. Additionally this template can also…

My 3 video presentations on “Essential R”

In this post I include my  3 video presentations on the topic “Essential R”. In these 3 presentations I cover the entire landscape of R. I cover the following

R Language – The essentials

Key R Packages (dplyr, lubridate, ggplot2, etc.)

How to create R Markdown and share reports

A look at Shiny apps

How to create a simple R package

Essential R – Part 1 This video cover basic R data types –…

Analysis of IPL T20 matches with yorkr templates

Introduction

In this post I create RMarkdown templates for end-to-end analysis of IPL T20 matches, that are available on Cricsheet based on my R package yorkr.  With these templates you can convert all IPL data which is in yaml format to R dataframes. Further I create data and the necessary templates for analyzing IPL matches, teams and players. All of these can be accessed at yorkrIPLTemplate.…

GooglyPlus: yorkr analyzes IPL players, teams, matches with plots and tables

In this post I introduce “GooglyPlus” another more evolved version of my earlier Shiny app “Googly”. My R package ‘yorkr’,  on which both these Shiny apps are based, has the ability to output either a dataframe or plot, depending on a parameter plot=TRUE or FALSE. My initial version of the app only included plots and did not exercise the yorkr package fully. Moreover, I am certain, there may be a…