Before The Workshop

Workshop Outcomes

In this workshop, we expect to present enough information to get you started on your way to learning R. Because this is a three hour workshop, our goal is to demonstrate a simple analysis in R, emphasizing problem solving and troubleshooting. By the end of the workshop you should have just enough background to be able to learn more.

Required Materials

Again, because this is a three hour workshop, we ask that you come prepared with a laptop that has the most recent versions of R and RStudio installed, and our workshop materials downloaded to your Desktop. We cannot provide service for installation the day of the workshop. Those who are not prepared for the workshop may be asked to give up their seat to those on the waitlist.

Installation

Even if you already have R installed on your system, you really should make sure its up to date. This ensures that there are no problems due to outdated software. For more details about installing R, RStudio, and keeping everything up to date, UBC’s STAT545 page is an excellent resource.

R
RStudio
Workshop Materials (zip file; unzip to Desktop)
(Once you’ve installed R) packages “tidyverse” and “agricolae”

Verification

Once you have installed R, we should verify that you have the correct version.

Open R (or RStudio) on your computer

Enter the following in the R console after the >

R.version.string == "R version 3.4.0 (2017-04-21)"

Make sure the result is [1] TRUE
(If the result is [1] FALSE, please quit R and try the installation again)

Workshop Materials

Our workshop materials is a zip file that contains a folder called IntroR-master/ with the folowing structure:

.
├── IntroR.Rproj
├── LICENSE
├── Makefile
├── Part1-Introduction.R
├── Part2-Analysis.R
├── Part3-Visualization.R
├── README.md
├── data/
│   ├── FungicideExample.csv
│   └── README.md
└── docs/
    └── ...

We are providing the R scripts for the workshop. We will be live-coding these scripts, and we encourage you to follow along by creating your own R scripts so that you can get comfortable typing these commands. For those who feel the pace is too fast, or are unable to type the commands, feel free to execute the code in these scripts to follow along.

Installing Packages

To install tidyverse and agricolae to your system, open R and type:

install.packages(c("tidyverse", "agricolae"), repos = "https://cran.rstudio.com")

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.