This is a repository which contains all the materials to be used in the introduction to statistics course. This course is run by Christopher A Oldnall (chris.oldnall@ed.ac.uk) and Rhys Davies (R.M.M.Davies@sms.ed.ac.uk). If you notice any mistakes or have any recommendations or comments please get in touch.
For this course, you will need to use the R programming language. There is an expectation that you are familiar with the r-environment but not one particular style or any packages in particular. In order to use R there are some instructions below:
- Go to https://noteable.edina.ac.uk/login
- Login with your EASE credentials
- Select RStudio as a personal notebook server and press start
- Go to File > New Project> Version Control > Git
- Copy and Paste this repository URL https://github.com/DCS-training/IntroToStatistics_2023 as the Repository URL
- The Project directory name will filled in automatically but you can change it if you want your folder in Notable to have a different name
- Decide where to locate the folder. By default, it will locate it in your home directory
- Press Create Project
Congratulations you have now pulled the content of the repository on your Notable server space.
- 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.
- 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.
- Download R from the CRAN website.
- Run the
.exefile 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.
- 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. {: .solution}
- Download R from the CRAN website.
- Select the
.pkgfile 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 Fedorasudo yum install R), but we don't recommend this approach as the versions provided by this are usually out of date. In any case, make sure you have at least R 3.5.1. - 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.debat the terminal). - Once it's installed, open RStudio to make sure it works and you don't get any error messages.
