Introduction to R and RStudio (full)

Introduction to R and RStudio for anyone wishing to get started using R for data analysis and statistics. This course is taught in English.

The course lasts for two half days.

Part 1: Tuesday 24. September 9:15 - 12:00

Part 2: Tuesday 1. October 9:15 - 12:00

Purpose

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

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

Target audience

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.

Duration

3+3 hours.

Signing up

In order to participate in this course, you need to have a valid user account at the University of Oslo (username and password). Sign up here!

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://www.rstudio.com/products/rstudio/download/. 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.

Instructor

Anne S. Bergsaker, PhD

Number of participants

40

Contact information

If you have any questions about the course, send us an email: statistikk@usit.uio.no

Links to course material

 

Publisert 7. juni 2019 09:13 - Sist endret 1. okt. 2019 13:25