Publications by ndphillips
The Pirate Plot – An R Pirate’s favorite plot
One of the most common types of datasets people want to plot is one where there is a continuous dependent variable – like age, company profit, or beard length – as a function of a categorical independent variable – like gender, a specific company, or one’s pirate ship. Unfortunately, despite the vast improvements in computational graphing...
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The Pirate Plot (2.0) – The RDI plotting choice of R pirates
Plain vanilla barplots are as uninformative (and ugly) as they are popular. And boy, are they popular. From the floors of congress, to our latest scientific articles, barplots surround us. The reason why barplots are so popular is because they are so simple and easy to understand. However, that simplicity also carries costs — namely, barplots ...
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The new and improved pirateplot()! Now with themes!
Hello fellow R pirates! For those of you who didn’t see it, I recently wrote a post demonstrating the pirateplot() function in the yarrr package. The pirateplot() function replaces the deceptive (and boring) bar plot with a full RDI plot, capable of plotting Raw data (and smoothed densities), Descriptive statistics (like means and medians), and...
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Making fast, good decisions with the FFTrees R package
“…[W]e are suspicious of rapid cognition. We live in a world that assumes that the quality of a decision is directly related to the time and effort that went into making it” Malcom Gladwell, Blink In his book Blink, Malcolm Gladwell summarises a common misconception about good decision making. According to folk wisdom, the more time, infor...
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The yarrr package (0.0.8) is (finally!) on CRAN
Great news R pirates! The yarrr package, which contains the pirateplot, has now been updated to version 0.0.8 and is up on CRAN (after hiding in plain sight on GitHub). Let’s install the latest version (0.0.8) and go over some of the updates: install.packages("yarrr") # Install package from CRAN library("yarrr") # Load the package! The mos...
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Survey Results
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Document
PH 2019 Year in Review Results Dashboard (as of DATE) Column 1 blah Add more data at Google Sheets Link Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nam vulputate felis mi, eget vulputate nulla consectetur in. Nam purus turpis, eleifend eget euismod ut, auctor in elit. Duis et accumsan ipsum. Cras vel tortor erat. Nulla vehicula ut...
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