Introduction to R practice codes

Keywords

R-programming

Authors

• Jenny Drnevich (@jenny)

Type

• Practical

Description

These codes give an overview of R object types and programming language structure.

Aims

These codes aims to take the novice and turn them into a beginning R user. We will describe the R environment and programming language structure so they can start to read and write code and know where to get additional help.

Prerequisites

• Basic computer literacy (point-and-click interface)

Target audience

Graduates students/post docs/beginning faculty with an interest in learning R, particularly for genomic data analysis. No experience with R or other programming languages are required.

Learning objectives

• Be able to describe what R is and how the programming environment works
• Be able to download and install R and add-on packages
• Be able to read, understand and write simple R code

Materials

• IntroR.R codes

Data

• Practice.RData

Timing

1.5 hours

Content stability

Should be stable for any R version > 3.0

Technical requirements

• R version > 3.0
• Add-on packages: limma
• Optional: RStudio

Literature references

• Programming tools: Adventures with R
• Orchestrating high-throughput genomic analysis with Bioconductor