R/Bioconductor installation and upgrade guide

Keywords

R-programming

Authors

• Jenny Drnevich (@jenny)

Type

• stand-alone handout

Description

This handout describes how to download R and install add-on packages, both from CRAN and
Bioconductor. It also documents how to "upgrade" R and packages.

Aims

Describe to a novice user how to install R and add-on packages in non-technical language.

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 download and install R and add-on packages

Materials

• Handout

Data

• none

Timing

Should take 30-60 min on their own

Content stability

Stable for any R version > 3.0

Technical requirements

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

Literature references

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