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Basic guide to organizing data projects in R for ecologists

2/2/2019

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Guide to organizing R projects
​Here is the basic method for organizing your ecological data analysis projects in R. Why do this? Reproducing analyses is critical for good science. There is nothing worse than trying to re-run a script when you finally get comments back from your reviewers only to find that your results are a bit different than before. What?! Speaking from personal experience, it’s taken days of blood, sweat, and tears to figure out what was different in the data, what code I was running in the wrong order, or that I was running the wrong code all together! Start now and get in the habit of sticking to a system for organizing your R projects.


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    Luka Negoita, PhD

    I received my BA in Human Ecology from College of the Atlantic in 2011 and my PhD in Biology with a focus in theoretical plant ecology in May 2018 with Dr. Jason Fridley at Syracuse University. I love teaching and working with ecology students on everything from mental health to data analysis, research design, and study techniques.

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