CRG Introduction to R July2017

Description

This is an introductory course to R programming.
The course is offered in 3 slow-paced practicums for absolute beginners. The goal is to offer a good base with a lot of hands on exercises.
We will use R Studio on the server of the CRG.

Course Instructors

• Sarah Bonnin
• Estefania Mancini

Dates, Time and Location

• July 12, 13, 14, 2017.
• 9:30 - 13:30.
• PRBB Boinformatics classroom (468). 4th floor. The hotel/North wing.

Course Syllabus, Schedule, and Materials

The day before each session, the slides will be uploaded in case you want to print them.

• Day 1
  • Introduction to R Studio
    We will use the R Studio server of the CRG. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions.
  • Basics of R
    Syntax, special characters, create an object, manipulate the object, simple arithmetics.
  • Functions usage in R
    Arguments. Get help.
  • R scripts: write and save commands, run them as a block. Comment code.
  • Data types.
  • Vectors
    Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors.
  • Input / output
    Reading in and writing out. Changing directory.
  • Introduction to factors: categorical vectors.
  • Missing values: how to deal with NA values.

Slides day1
Exercises day1

• Day 2
  • Matrices & data frames
    2-dimensional objects: how to create, subset, manipulate.
  • Library / packages
    Install and load packages. Look for functions in those packages.
  • More on input / output
    Reading in more complex files, different options to adapt to the input file. Writing out files the way you want to see your data.

• Day 3
  • Basic plotting (base graphics package)
    Scatter plots, boxplots, barplots, pie plots, histograms.
  • Introduction to ggplot2 package
    ggplot2 provides functions for creating and customizing plots. We will learn the basic structure and how to produce simple plots.
  • Input / output
    We will save plots as files in different formats, both from R Studio and from the terminal.