Here are the topics covered in the entire workshop series: The four tutorials are designed to be done in order, but this is not strictly necessary. This goes through the information given in the PDF in smaller pieces while you can code interactively. In addition to the materials above, I have converted the workshop material into four interactive tutorials. You may need to set it to “All Files” and manually add. Make sure you save the R script as a file ending in. The PDF is a written version of the workshop, including code and output, to be used as a reference. I provide an R script that we’ll run code from during the workshop as well as a PDF document. If you want to run the code you can download the three datasets used in the workshop: the TXT file, the CSV file, and the XLSX file. In my experience, knowing how to work with datasets in R and knowing where to look for help can take you pretty far into the world of R. We will spend a fair amount of time talking about R help throughout the workshop - where you can find it, how to search for it, and, in particular, how to use the documentation within R. The workshop will demonstrate some common coding techniques as well as some of the pitfalls that the R beginner faces, such as working with factors and missing values. While working towards that goal, students will learn how to read three different types of datasets into R, check the datasets and do basic data manipulations, and graph the data. The scientific goal is to perform a simple statistical analysis on a set of data using R. This two-hour workshop focuses on introducing R through a worked example.
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