Summary and Schedule
Welcome to the KUB Datalab R-toolbox course site.
This site is a collection of individual episodes. It is not intended as a single course. The concept is for this site to act as the foundation for made-to-measure courses. Based on the individual and specific needs in a given situation, we will make a selection of relevant episodes, and string them together to form a tailored course.
The episodes are under construction, and will continue to be, as we will add new content until we have covered any subject that might arise working with data. That is: We will never be done.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. Reproducible Data Analysis | How do I ensure that my results can be reproduced? |
| Duration: 00h 12m | 2. Reading data from file |
How do you read in data from files? ::: |
| Duration: 00h 24m | 3. Descriptive Statistics |
How can we describe a set of data? ::: |
| Duration: 00h 36m | 4. Histograms |
What is a histogram? What do we use histograms for? What is the connection between number of bins, binwidths and breaks? How do we chose a suitable number of bins? :::: |
| Duration: 00h 36m | 5. Table One | How do you make a Table One? |
| Duration: 00h 48m | 6. Tidy Data |
How do we structure our data best? ::: |
| Duration: 01h 00m | 7. The normal distribution | What even is a normal distribution? |
| Duration: 01h 12m | 8. Testing for normality |
How do we determine if a dataset might be normally distributed? ::: |
| Duration: 01h 24m | 9. How is the data distributed? |
If my data is not normally distributed which distribution does it actually follow? |
| Duration: 01h 36m | 10. Linear regression |
How do I make a linear regression? How do I interpret the results of a linear regression? |
| Duration: 01h 48m | 11. Multiple Linear Regression |
How do you run a multiple linear regression? What about conditional effects? |
| Duration: 02h 00m | 12. Logistic regression |
How do you run a logistic regression? What is the connection between odds and probabilities? |
| Duration: 02h 12m | 13. Central Limit Theorem | How do you write a lesson using R Markdown and sandpaper? |
| Duration: 02h 24m | 14. Nicer barcharts | How do we style barcharts to look better? |
| Duration: 02h 36m | 15. Power Calculations |
How large of a sample do I need to identify a result? How much confidence can I get using a specific sample size? How much power can I get using a specific sample size? |
| Duration: 02h 48m | 16. k-means | What is k-means? |
| Duration: 03h 00m | 17. ANOVA |
How do you perform an ANOVA? What even is ANOVA? |
| Duration: 03h 12m | 18. Cohens Kappa |
How can agrement on classification be quantised? How is Cohens \(\\kappa\) calculated? |
| Duration: 03h 24m | 19. R on Ucloud |
What is Ucloud? How do we use R and RStudio on Ucloud? |
| Duration: 03h 36m | 20. A deeper dive into pipes |
What are the differences between the two pipes? ::: |
| Duration: 03h 48m | 21. Setup for GIS |
How do I get ready for working with geospatial data in R? ::: |
| Duration: 05h 12m | 22. Setup for Git |
What software is needed? Do I have a GitHub account? |
| Duration: 05h 24m | 23. Practice makes perfect | How can I practice these skills? |
| Duration: 05h 34m | 24. Statistical tests | How do I run X statistical test? |
| Duration: 05h 34m | 25. When install.packages fail |
What to do when install.packages tells me the package is
not available?
|
| Duration: 05h 46m | 26. Fences på vores undervisningssider | Hvilke fences har vi til rådighed i det her setup? |
| Duration: 05h 58m | 27. Make a new course | How do I make a new course-page based on this?? |
| Duration: 06h 10m | Finish |
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. - In any case, make sure you have at least R 4.4.
If you don’t have R and RStudio installed
- 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.
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 4.4.
If you don’t have R and RStudio installed
- 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 approach are usually out of date. - In any case, make sure you have at least R 4.4.
- 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.