CRG Introduction to R 2018

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Revision as of 16:55, 15 March 2018 by Sbonnin (Talk | contribs)

Description

This is an introductory course to R programming.
The course is offered in 4 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

  • March 19-20, April 16-17 2018
  • 10:00 - 14:00
  • PRBB Bioinformatics 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 on the server CRG. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions.
    • Paths / directories
    • Basics of R: syntax, 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.
    • Data structures:
      • Vectors
        Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors.
      • Introduction to factors: categorical vectors.
    • Missing values: how to deal with NA values.

[[Media:|Slides day1]]
[[Media:|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.
    • Input / output
      Reading in and writing out.

[[Media:|Slides day2]]
[[Media:|Exercises day2]]

  • Day 4
    • 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.

[[Media:|Slides day4]]
[[Media:|Exercises day4]]


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