Many researchers approach statistical analyses with trepidation because they’re unsure about which analyses are appropriate for their data. This hands-on workshop introduces some important background statistical concepts, provides a simple workflow for deciding on which analyses are appropriate based on the kinds of variables you’re working with, and then demonstrates how to conduct these analyses in R. We will apply commonly used statistical analyses such as linear regression, independent-sample t-tests, and chi-squared tests, to R’s bult-in datasets. We will discuss the output and how we might present the results for publication. This workshop is aimed at attendees who already understand the basics of working with the R programming language, and who want to learn how to perform statistical tests in R. For an introduction to R for absolute beginners please see ‘Introduction to R & RStudio’ instead.
