![]() ![]() I also use these data sets as examples for the blog posts that I write – these data sets are great teaching tools because they’re fairly simple and easy to understand. Since these data sets are so straightforward, I can usually predict what my expected output should be, and then I can know whether or not the function worked correctly. I find these data sets useful when I’m trying to do something quick, like testing how a new function works. Some common ecological data sets that you might use are iris, PlantGrowth, and Loblolly. They are wide-ranging and fun to explore, but most of them are not explicitly ecological. These data sets range from describing the survival of Titanic passengers to describing the locations of earthquakes off the island of Fiji. R comes with some standard data sets that you can view if you type data() into the console. ![]() One of the first places you can look for practice data sets is within R itself. I also mention the Ocean Biodiversity Information System, DataOne, and the Central Michigan University Library website’s list of resources. The Global Biodiversity Information Facility. ![]() The National Ecological Observatory Network.The Knowledge Network for Biocomplexity. ![]() In this tutorial, I discuss the following data sets: Wouldn’t it be nice if we could download clean data sets that we could work with? Luckily, there are a number of resources out there – you just have to know where to look! Our own data are often messy and require a lot of recoding and reformatting. Though many of us have our own data, those might not always be in the best format to do what we want. As you’re learning R, it can be hard to come up with data sets that you can practice with. ![]()
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