Introduction to R and RStudio

A brief introduction to data science and statistics in R and RStudio. 

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Time and place:

The course consists of two sessions:

Monday March 6th, 12:15-15:00, in seminar room Java, Ole-Johan Dahls hus

Friday March 10th, 09:15-12:00, in seminar room Pascal, Ole-Johan Dahls hus

Who is it for?

UiO researchers and graduate students who wish to get started with R/RStudio. Basic knowledge of research methods and statistics is an advantage, but not a requirement. The aim is to provide a soft and not-too-technical introduction.

How do I sign up?

In order to participate in this course, you need to have a valid user account at the University of Oslo (username and password), and sign up here. To be put on the waiting list, sign this form.

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.

40 participants

Links to course material

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

Language

The course will be in English this semester.

Instructor

Luigi Maglanoc, PhD, Data Management, IT Department.

Contact information

Send questions about the course to statistikk@usit.uio.no

Tags: R, Rstudio, statistics, data analysis, data science, data visualization, data management
Published Jan. 18, 2023 11:17 AM - Last modified Feb. 6, 2024 9:03 AM