Course Description

This course provides an introduction to the R programming language for statistical computing and graphics. Focused with biological applications.

Although this is created based on class-sessions in mind, it can also adopted as self-learning material.

Prerequisites

No prior programming experience is required, but those attending should be able to use a plain text editor. A very basic knowledge of UNIX would be an advantage, but nothing will assumed and extremely little will be required.

Objectives

After the course you should feel confident to start exploring your own dataset using the materials and references provided. Including things like:

  • Import data and plot graphs
  • Perform statistical tests in R
  • Create a documented and reproducible piece of R code
  • Know how to develop your skills in R after the course
  • Install and use Bioconductor packages

Aims

During this course you will learn about:

  • The R Studio interface to R
  • The many ways to access help about R
  • Basic object types in R
  • Importing tabular data into R
  • Manipulating data in R
  • Using in-built functions
  • Statistical testing in R
  • Executing basic data analysis workflows in R
  • Basic Plotting
  • Customizing plots
  • Basic programming with if/else statements and for loops
  • Creating reproducible reports in R

Course Structure

Resources:

This materials are combination of one or more resources listed bellow.123

  1. Cambridge Basic R Course↩

  2. swcarpentry r-novice-inflammation↩

  3. few others↩

 

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