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condensedR

Condensed R: 240-Minute R Tutorial

Goal

This tutorial is designed for learners with little to no programming or R experience and prepares them to learn more about R on their own. We’ll introduce some of the most useful features of R for the analysis of biological data.

Note

This tutorial was prepared for presentation with an experienced R instructor. Self-guided learners should also find this tutorial useful.


Prerequisites

Downloads, access, and services

In order to complete this tutorial you will need access to the following services/software

Prerequisite Preparation/Notes Link/Download
CyVerse account We will use CyVerse VICE to complete this tutorial. This will eliminate the time consuming step of having each learner install R on their own. CyVerse User Portal
[Optional] Install R If not using the CyVerse VICE app, you will need to install R on your own computer. You can follow instructions at this link to install R on your own computer. Project R
[Optional] RStudio If not using the CyVerse VICE app, you will need to install RStudio on your own computer. You can follow instructions at this link to install RStudio on your own computer. (Choose the free “RStudio Desktop”) RStudio

Platform(s)

We will use the following CyVerse platform(s):

Platform Interface Link Platform Documentation Quick Start
Data Store GUI/Command line Data Store Data Store Manual Data Store Guide
Discovery Environment Web/Point-and-click Discovery Environment DE Manual Discovery Environment Guide

Application(s) used

Discovery Environment App(s):

App name Version Description
rstudio-3.5.0 3.5.0 RStudio

Credits and attributions

Material for this tutorial is credited to the Data Carpentry Genomics R lessons (https://datacarpentry.org/genomics-r-intro/index.html) As well as materials from Jeff Holister’s R Tutorial (http://usepa.github.io/introR/2015/01/14/03-Clean/)


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