<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Pokemon on rostrum.blog</title>
    <link>https://www.rostrum.blog/tags/pokemon/</link>
    <description>Recent content in Pokemon on rostrum.blog</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-gb</language>
    <lastBuildDate>Thu, 04 Nov 2021 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="https://www.rostrum.blog/tags/pokemon/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Get coordinates from fictitious maps</title>
      <link>https://www.rostrum.blog/2021/11/04/kanto-locator/</link>
      <pubDate>Thu, 04 Nov 2021 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2021/11/04/kanto-locator/</guid>
      <description>tl;dr Use the locator() function in R to interactively extract arbitrary coordinates from images of imaginary maps. I extracted points of interest from Kanto in the original Pokémon games.
 On the road to Viridian City There are lots of interesting fictitious maps. For example, Middle Earth from Lord of the Rings, Hyrule from The Legend of Zelda and Sodor from Thomas the Tank Engine.
This is excellent fodder for fan-made recreations.</description>
    </item>
    
    <item>
      <title>Convert R to cron to English with {dialga}</title>
      <link>https://www.rostrum.blog/2021/04/10/dialga/</link>
      <pubDate>Sat, 10 Apr 2021 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2021/04/10/dialga/</guid>
      <description>tl;dr I made the small proof-of-concept R package {dialga} to help build and interpret standard cron expressions using familiar R syntax. r2cron() converts R to cron; cron2eng() converts cron to English.
 Cronwhat? You can schedule scripts to run at specific times using software on your computer called ‘cron’. You can set up ‘cron jobs’ to specify what needs to be run. A key part of the recipe is a short cron string that provides instructions about when to run it.</description>
    </item>
    
    <item>
      <title>Play Pokémon&#39;s Safari Zone in R</title>
      <link>https://www.rostrum.blog/2021/01/04/safar6/</link>
      <pubDate>Mon, 04 Jan 2021 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2021/01/04/safar6/</guid>
      <description>An original Nintendo Game Boy playing Pokémon… if you squint.  tl;dr I created the R package {safar6}, which contains an R6-class object to simulate a simplified, text-based version of the Safari Zone sub-area from Pokémon Blue.
I also made the ‘gamelad’ RStudio theme to mimic the screen of a pukey-green original Game Boy. Pair with a blocky monospace font like VT323 for that 8-bit experience.1
 Kangaskhan you believe it?</description>
    </item>
    
    <item>
      <title>Teaching R with Pokémon Go data</title>
      <link>https://www.rostrum.blog/2018/11/04/r-train-pkmn/</link>
      <pubDate>Sun, 04 Nov 2018 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2018/11/04/r-train-pkmn/</guid>
      <description>Psyduck hurt itself in its confusion (via Giphy)  You teach me and I’ll teach you I wrote in a recent post about some training materials I wrote for teaching R Markdown.
Now I’m sharing another thing I made: Beginner R and RStudio Training (featuring Pokémon!). It’s an introduction to R, RStudio, R Projects, directory structure and the tidyverse. It uses Pokémon Go1 data that I collected myself.2
You can:</description>
    </item>
    
    <item>
      <title>Engifification in R with {gifski}</title>
      <link>https://www.rostrum.blog/2018/07/26/engifification-in-r-with-gifski/</link>
      <pubDate>Thu, 26 Jul 2018 00:00:00 +0000</pubDate>
      
      <guid>https://www.rostrum.blog/2018/07/26/engifification-in-r-with-gifski/</guid>
      <description>A sloth. On a pizza slice. In space. (via Giphy)  gifski() You and I both know that the world needs more intergalatic-sloth-pizza gifs.
Great news: ‘the fastest gif encoder in the universe’ has been created. The {gifski} package for R is now on CRAN. It’s a simple yet fast and powerful way to create gifs from within R, built by Jeroen Ooms) for rOpenSci.
The obvious application is for creating gifs from plots, as in the following example from the ROpenSci announcement, which shows life expectancy by GDP per capita with a different year for each frame of the gif.</description>
    </item>
    
  </channel>
</rss>