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    <title>R-bloggers on Almost Random</title>
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    <description>Recent content in R-bloggers on Almost Random</description>
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      <title>Data dictionaries for humans, agents and jumping frogs</title>
      <link>https://www.malte-grosser.com/post/data-dict-jumping-frogs/</link>
      <pubDate>Wed, 23 Sep 2026 00:00:00 +0000</pubDate>
      
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      <description>Apparently, you can rent a frog and enter a jumping competition. You might find yourself up against teams with years or even decades of experience selecting and preparing their frogs. Welcome to the Calaveras County Jumping Frog Jubilee.
In Astley et al. (2013), researchers studied bullfrog jumps at the event, comparing frogs rented by fairgoers with those entered by experienced teams.1 Their measurements provide the example for the Data Dict quickstart.</description>
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      <title>Introducing the snakecase package</title>
      <link>https://www.malte-grosser.com/post/introducing-the-snakecase-package/</link>
      <pubDate>Tue, 06 Mar 2018 00:00:00 +0000</pubDate>
      
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      <description>There are many style guides out there which recommend specific naming conventions for programming languages. At 2017’s useR conference Rasmus Bååth showed quite impressively the variety of cases which even exist within base R in his talk “The current state of naming conventions in R”.
However, consistent style is not only about naming new objects.
ImportWhen you do a data analysis, most of the data already exists and you import it from disk, an API or a database.</description>
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