Time and place:
The course consists of two sessions:
Monday March 11th, 12:15-15:00, in seminar room Java, Ole-Johan Dahls hus
Wednesday March 13th, 09:15-12:00, in seminar room Prolog, Ole-Johan Dahls hus
Language:
English
Target audience:
UiO reseachers and students who want to get started with R/RStudio.
Prerequisites:
Basic knowledge of statistics and research methodology is useful, but not required. The aim is to provide a soft and not-too-technical introduction.
Contents:
- Become familiar with the different menus and options that you have in R and RStudio
- Learn how data is handled and represented in R
- How to write data directly into R, and how to import different types of data files
- Recode variables and calculate new variables based on raw data
- Present data using graphs
- Descriptive statistics, i.e. describe a data set using measures such as mean, standard deviation, median, skewness, etc., and know what these mean and how they should be interpreted
- Learn how to efficiently document what you do in R/RStudio, both for the sake of reproducibility, but also to make your own work more efficient
Luigi Maglanoc
Important: Participants need to have their own laptop with both R and RStudio installed. Both R and RStudio are free. R can be downloaded from https://cran.r-project.org and RStudio from https://posit.co/download/rstudio-desktop/. The course is taught in a regular seminar room, not a computer lab. It is recommended that you bring a power cord for your own device. If you need help installing R and/or RStudio, contact local IT in your department. If you cannot install R and RStudio on your own computer, use UiO Programkiosk.