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    <title>Package Development on Data Science in Education</title>
    <link>https://www.datalorax.com/tags/package-development/</link>
    <description>Recent content in Package Development on Data Science in Education</description>
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    <language>en</language>
    <copyright>Daniel Anderson</copyright>
    <lastBuildDate>Thu, 04 Jan 2018 00:00:00 +0000</lastBuildDate>
    
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      <title>esvis: Binned Effect Size Plots</title>
      <link>https://www.datalorax.com/post/esvis-binned-effect-size-plots/</link>
      <pubDate>Thu, 04 Jan 2018 00:00:00 +0000</pubDate>
      
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      <description>In this post, I&amp;rsquo;d like to share one of the more unique plots from esvis - the binned effect size plot. The overall purpose of the binned effect size plot is to evaluate if the differences between two distributions are consistent across the scale. We&amp;rsquo;ll start with a quick example from the package, and then move to a simulated data example.
Quick example The API for esvis is consistent across functions, so we use the same outcome ~ predictor forumula as the first argument, followed by the data for all functions.</description>
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