Working with and Visualizing Data in R

This lesson reviews some important R packages for manipulation and visualization of biological data. It is based primarily on the Bioinformatics Data Skills book by Vince Buffalo and the R for Data Science book by Hadley Wickham.

Prerequisites

Background knowledge of R and Unix.

Two Things You Need To Know

  1. Don’t panic.
  2. Follow the instructions :).

Schedule

Setup Download files required for the lesson
00:00 1. R Language Basics How to do simple calculations in R
How to assign values to variables and call functions?
What are R’s vectors, vector data types, and vectorization?
How to install packages?
How can I get help in R?
00:50 2. Data Import How to read data in R?
What are some potential problems with reading data in R?
How to write data in files?
01:20 3. Data Transformation How to use dply to transform data in R?
How do I select columns
How can I filter rows
How can I join two data frames?
02:50 4. Visualizing Data How can I explore my data by visualization in R?
04:10 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.