Publications by R by R(yo)

Modding Rome Total War (Avatar, The Last Airbender mod) using R!

14.03.2023

This blog post will be on a very weird mash-up of a few of my interests, Rome: Total War, Avatar: The Last Airbender, and of course the R programming language! I’ll introduce these drastically different interests first… “and now for something completely different…” What is Rome: Total War? What is Avatar: The Last Airbender? What is the...

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Managing Large R Codebases webinar (summary and slides)

12.03.2023

In October last year, I was part of a webinar to talk about “Managing Large Codebases in R” with Alex Bertram of ActivityInfo. It is a bit late to write a blog post about this, I know, but I realized I never created one to spread the word around a lot more even though I did refer to it on social media… so here you go: Managing Large Codebase...

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J.League Soccer 2022 Season Review!

14.11.2022

Intro League table Team Reviews Cerezo Osaka Shimizu S-Pulse Vissel Kobe Kawasaki Frontale Kashiwa Reysol Kashima Antlers Yokohama F. Marinos Nagoya Grampus Shonan Bellmare FC Tokyo Gamba Osaka Consadole Sapporo Urawa Reds Kyoto Sanga Sagan Tosu Avispa Fukuoka Sanfrecce Hiroshima Jubilo Iwata Data Visualizations Squad Age Profiles Time Interva...

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101st TokyoR Meetup Roundup: Palmer penguins, fractal analysis, and more!

19.09.2022

Midst a monsoon, another TokyoR meetup! Since the pandemic started all of TokyoR’s meetups have turned into online sessions and the transition has been seamless thanks to the efforts of the TokyoR organizing team. This was the 101st TokyoR Meetup! My previous TokyoR roundups: Japan.R 2018 (12/1/2018) Tokyo.R #76 (3/2/2019) Tokyo.R #77 (4/13/20...

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J.League Soccer 2022 Mid-Season Review!

14.06.2022

Introduction League table Team Reviews Cerezo Osaka Shimizu S-Pulse Vissel Kobe Kawasaki Frontale Kashiwa Reysol Kashima Antlers Yokohama F. Marinos Nagoya Grampus Shonan Bellmare FC Tokyo Gamba Osaka Consadole Sapporo Urawa Reds Kyoto Sanga Sagan Tosu Avispa Fukuoka Sanfrecce Hiroshima Jubilo Iwata Data Visualizations Squad Age Profiles Time ...

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Developer diary for {ggshakeR} 0.2.0 (a package for soccer analytics viz): Working smoothly as a team on GitHub for R package development!

21.07.2022

{ggshakeR} 0.2.0, a package for soccer analytics visualizations for R is released! This version brings a huge amount of new functionality as well as changes to existing functions. devtools::install_github("abhiamishra/ggshakeR") This blog post however, is more of a developer diary that seeks to talk more about what goes on ‘under the hood’ a...

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{tvthemes 1.3.0} is on CRAN: ‘Steven Universe’-themed color palettes for ggplot2!

16.03.2022

Welcome back to {tvthemes}, an R package for color palettes and ggplot2 themes from your favorite TV shows! The 1.3.0 release is now on CRAN. It’s been a very long time since the last update to {tvthemes}. Even version 1.2.0 was just updates on the back-end of things to implement Github Actions into my package workflow. I’ve been shifting my ...

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Thrice: Initial Data Exploration and Song Length Distributions with Joy Plots!

29.09.2017

(April-2018: updated to use ggridges package instead of deprecated ggjoy) Hello, for those who know me well you would know that my favorite band is Thrice! For those that aren’t familiar with them, they are a post-hardcore rock band from California, specifically the area around where I went to college (OC/Irvine area). This article will be Part...

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Thrice: Breaking Down The Lyrics Word-by-Word!

09.10.2017

In Part 2 we will look at the lyrical content of the band, Thrice. By dividing the lyrics of each song into a single-word-per-row format, we can take a much closer look at the the lyrical content at various levels! Let’s get started! As always let’s load the various packages we are going to be using! # Packages: library(tidyverse) # for dply...

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Thrice: Sentiment Analysis – Emotions in Lyrics!

21.10.2017

Part 1: Song length distributions with joy plots! Part 2: Breaking down the lyrics, word-by-word with tidytext In Part 3 we get into the core element of our analysis, investigating the various sentiments and emotions expressed in Thrice’s lyrics! Using the three sentiment lexicons included with the tidytext package, NRC, Bing, and AFINN we can...

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