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.