CRG Introduction to R July2017

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Revision as of 16:28, 11 July 2017 by Sbonnin (Talk | contribs)

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


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.
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