R is a fantastic language for statistical programming, but making the jump from point and click interfaces to code can be intimidating for individuals new to R. In this webinar I will gently cover how to get started quickly with the basics of research statistics in R, providing an emphasis on reading data into R, exploratory data analysis with the `tidyverse`, statistical testing with ANOVAs, and finally producing a publication-ready plot in `ggplot2`.
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