A course series designed to teach biomedical scientists to use R and the tidyverse instead of Excel to analyze their everyday data.

The lessons omit much of what is typical in introductory R courses, such as even base R operations like subsetting with [] in favor of tidyverse idioms which will be more intuitive to scientists with no programming background. Example datasets include real biomedical data of the sort scientists might generate themselves.

Course overview:

• Lesson 1: introduction, read data, view data
• Lesson 2: dplyr: select, filter
• Lesson 3: dplyr: pipe, summarise/group_by
• Lesson 4: dplyr: mutate
• Lesson 5: ggplot2: introduction
• Lesson 6: ggplot2: continued
• Lesson 7: tidyr: data shape and tidy data
• Lesson 8: dplyr: joins, combining multiple files
• Lesson 9: dplyr/tidyr: normalizing data (subtracting background, normalizing to control)

The lessons are meant to be presented by an instructor with discussion, either in a lecture or one-on-one setting.