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A sample of tutorials demonstrating data analysis in R

Getting Started

Starting Data Analysis

Data files

Here is an overview of the datasets used in the above tutorials divider

Sample online lessons

Below are some online lessons that are part of three modules (BIOL30030, ENVB40370 and BIOL40390). The lessons are html5 documents that use the Reveal.js presentation framework

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To install R

The homepage for downloading the latest R software is http://cran.r-project.org/.

Below we provide shortcuts directly to the installer files for Windows, Mac and Linux operating systems. If the downloads are slow you can select your nearest mirror site from this list

R for Windows

The installer for the latest version of R for Windows can be downloaded from http://cran.r-project.org/bin/windows/base/. The latest version will runon Windows XP and later (including 64-bit versions of Windows).

R for Mac

The installer package for the latest version of R for Macs can be downloaded from http://cran.r-project.org/bin/macosx/.

R for Linux

To install on a Linux machine go to http://cran.r-project.org/bin/linux/ and select your distribution of linux from the list. Installation instructions for each Linux ditribution can be found in a README file.

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To install RStudio

Rstudio is a user interface for R that has a free open source version available for Windows, Mac and Linux operating systems.

To install RStudio go to https://posit.co/download/rstudio-desktop and select the installer for your operating system under the "Installers for Supported Platforms" section. To complete the installation, save and open the installer and follow the installer's instructions.