Course Outline
Day 1. September 20th (Thursday) Module Topics Material
9:00 - 10:00 R, RStudio

- Installation

- Package management

- Seeking help

Presentation
10:15 - 12:00 Data

- Data types: vectors, matrices, lists, factors, dataframes

- Reading data into R

- Subsetting data

Presentation
12:00 - 12:45 Lunch break
12:45 - 13:45 Control Flow Conditions and Loops Presentation
13:45 -16:30 Manipulating Dataframes

- dplyr: select(), filter(), gather(), group_by(), summarize(), mutate()

- tidyr: gather(), spread()

- Strings: finding patterns in text

- Pipes

Presentation

Animal DOB DOS Dataset

Mice Dataset

Day 2. September 21st (Friday) Module Topics Material
9:00 - 12:00 Visualization: Creating Plots (Part I)

- ggplot2

- Interactive Plots with Plotly

- Working Script

- Presentation

- Dataset

- ggplot2 Cheatsheet

12:00 - 12:45 Lunch break
12:45 - 14:15 Producing Data Analysis Reports R Markdown Presentation
14:30 - 15:30 Visualization: Creating Plots (Part II) Heatmaps

- Presentation

- Slides

- Data 1 (proteomes)

- Data 2

- Other packages

15:30 - Questions, Feedback, Participants' Data