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. Table One | How do you make a Table One? |
Duration: 00h 48m | 5. Tidy Data |
How do you write a lesson using R Markdown and
sandpaper? ::: |
Duration: 01h 00m | 6. The normal distribution | How do you write a lesson using R Markdown and sandpaper? |
Duration: 01h 12m | 7. Testing for normality |
How do we determine if a dataset might be normally distributed? ::: |
Duration: 01h 24m | 8. How is the data distributed? |
If my data is not normally distributed which distribution does it actually follow? |
Duration: 01h 36m | 9. Linear regression |
How do I make a linear regression? How do I interpret the results of a linear regression? |
Duration: 01h 48m | 10. Multiple Linear Regression |
How do you run a multiple linear regression? What about conditional effects? |
Duration: 02h 00m | 11. Logistisk regression |
How do you run a logistic regression? ::: |
Duration: 02h 12m | 12. Central Limit Theorem | How do you write a lesson using R Markdown and sandpaper? |
Duration: 02h 24m | 13. Nicer barcharts | How do we style barcharts to look better? |
Duration: 02h 36m | 14. powerberegninger |
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 | 15. k-means | How do you write a lesson using R Markdown and sandpaper? |
Duration: 03h 00m | 16. Factor Analysis | How do you write a lesson using R Markdown and sandpaper? |
Duration: 03h 12m | 17. structure-you-work | How do you write a lesson using R Markdown and sandpaper? |
Duration: 03h 24m | 18. fence-test | How do you write a lesson using R Markdown and sandpaper? |
Duration: 03h 36m | 19. design-principles | How do you write a lesson using R Markdown and sandpaper? |
Duration: 03h 48m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.