This is the first lesson of the R Introductory Series. This lesson will serve as a general introduction to R and RStudio. Attendees will explore the RStudio interactive development environment (IDE) and learn to create R projects and scripts, navigate between directories, use functions, and obtain help. 

In this lesson, attendees will learn the most basic features of the R programming language including:

• R syntax
• Creating R objects 
• Data types
• Using mathematical operations
• Using comparison operators
• Creating, subsetting, and modifying vectors

This lesson will introduce data structures with a focus on data frames. Attendees will learn how to import, summarize, and explore data stored in data frames. 

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality.   

In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse.

This lesson will introduce prominent ways to visualize data with R. The majority of the lesson will be devoted to learning how to create publishable figures using the ggplot2 package. 

In this lesson, attendees will continue learning how to plot publishable figures with ggplot2. 

This lesson will be divided into two parts. Part 1 will introduce Bioconductor, an R package repository for the analysis of biological data. Part 2 will introduce RMarkdown and Quarto for report generation with R.