Summary and Schedule

The aim of KUB-Datalab is to teach students, teachers and researchers basic concepts, skills and tools for working with data so they can get more done in less time. And with less pain.

This is the next step after an introduction to R for complete beginners. We assume that you have some knowledge of R, equivalent to the material covered in our introductory course.

In this workshop we investigate a dataset together, and let our curiosity guide us in analysing and visualizing the data, using both elementary statistical methods and graphs.

Regardless of our curiosity the concepts covered on this site, will be covered.

Getting Started

Our teaching is hands-on, so participants are encouraged to use their own computers to ensure the proper setup of tools for an efficient workflow. To get started, follow the directions in the “Setup” tab to download data to your computer and follow any installation instructions.

Prerequisites

We are going to assume that you have some familiarity with R and RStudio, equivalent to the topics covered in our introductory course, R for absolute beginners. We are going to use the datamanipulation tools from the tidyverse a lot - so please brush up on the pipe %>% if you have forgotten about it.

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.

Software Setup

Warning

Please do NOT install R and RStudio on Onedrive or other clouddrives. R will work but you will not be able to install the extensions to R that you will need in this course!

Installing R and RStudio

R and RStudio are separate downloads and installations. R is the underlying statistical computing environment, but using R alone is no fun. RStudio is a graphical integrated development environment (IDE) that makes using R much easier and more interactive. You need to install R before you install RStudio. Once installed, because RStudio is an IDE, RStudio will run R in the background. You do not need to run it separately.

Rather than installing R and RStudio on your personal computer, Posit Cloud offers a free, online alternative, where you will be able to run R and RStudio in your browser. Sign up with your Google/Gmail account if you have one, or with any other email.

The free version of RStudio Cloud places limitations on the number of projects you can work on, and the amount of memory and processing power you can access. For the purposes of following these lessons, RStudio Cloud is perfectly adequate, and what we recommend if you have any problems installing R and RStudio on your personal computer.

If you already have R and RStudio installed

  • Open RStudio, and click on “Help” > “Check for updates”. If a new version is available, quit RStudio, and download the latest version for RStudio.
  • To check which version of R you are using, start RStudio and the first thing that appears in the console indicates the version of R you are running. Alternatively, you can type sessionInfo(), which will also display which version of R you are running. Go on the CRAN website and check whether a more recent version is available. If so, please download and install it. You can check here for more information on how to remove old versions from your system if you wish to do so.

If you don’t have R and RStudio installed

  • Download R from the CRAN website.
  • Run the .exe file that was just downloaded.
  • Go to the RStudio download page.
  • Under Installers select RStudio x.yy.zzz - Windows. Vista/7/8/10 (where x, y, and z represent version numbers).
  • Double click the file to install it.
  • Once it’s installed, open RStudio to make sure it works and you don’t get any error messages.

If you already have R and RStudio installed

  • Open RStudio, and click on “Help” > “Check for updates”. If a new version is available, quit RStudio, and download the latest version for RStudio.
  • To check the version of R you are using, start RStudio and the first thing that appears on the terminal indicates the version of R you are running. Alternatively, you can type sessionInfo(), which will also display which version of R you are running. Go on the CRAN website and check whether a more recent version is available. If so, please download and install it. In any case, make sure you have at least R 3.2.

If you don’t have R and RStudio installed

  • Download R from the CRAN website.
  • Select the .pkg file for the latest R version.
  • Double click on the downloaded file to install R.
  • It is also a good idea to install XQuartz (needed by some packages).
  • Go to the RStudio download page.
  • Under Installers select RStudio x.yy.zzz - Mac OS X 10.6+ (64-bit) (where x, y, and z represent version numbers).
  • Double click the file to install RStudio.
  • Once it’s installed, open RStudio to make sure it works and you don’t get any error messages.
  • Follow the instructions for your distribution from CRAN, they provide information to get the most recent version of R for common distributions. For most distributions, you could use your package manager (e.g., for Debian/Ubuntu run sudo apt-get install r-base, and for Fedora sudo yum install R), but we don’t recommend this approach as the versions provided by this approach are usually out of date. In any case, make sure you have at least R 3.2.
  • Go to the RStudio download page.
  • Under Installers select the version that matches your distribution, and install it with your preferred method (e.g., with Debian/Ubuntu sudo dpkg -i rstudio-x.yy.zzz-amd64.deb at the terminal).
  • Once it’s installed, open RStudio to make sure it works and you don’t get any error messages.