PSY9510 – Introduction to Statistics with R
Course content
R is a free and open-source statistical software and the most popular statistical software for scientific computation. This course provides a broad introduction to R with a focus on reproducible research, data management, descriptive statistics, and graphics.
Learning outcome
This is an introductory course to R statistics as a tool for scientific computation, data management, and data visualization. The course walks the participants through the basics of R programming and provides skills for organizing analysis projects, R code as well as skills for data management and reproducible analysis. It also provides a thorough guide to grammar of graphics for developing publication-ready figures via GGPLOT2 package. The learning objectives of the course are as follows:
- Become familiar with R and RStudio environments
- Understand R objects and their characteristics
- Understand different data structures in R
- Learn data cleaning and data management
- Carry out data quality checks
- Learn to write and organize R syntax and implement reproducible analyses within RStudio
- Descriptive statistics in R
- Basic statistical analyses
- Using R loops for data management or analysis.
- Introduction to grammar of graphics with GGPLOT2 package
Admission to the course
This is an elective course in the PhD-programme in psychology.?PhD candidates at PSI needs to sign up to the course in Studentweb. Please contact the administration if you have problems to sign up in Studentweb.?
Candidates from PhD-programmes at other institutions can apply to the course via this form, however candidates from UiO will be given first priority.?Other PhD candiates can apply to the course through this online form:?
S?knad om p?melding til PSY9510 - v?r 2024
You will find the registration period in the online form.?
All candidates need to be signed up in Studentweb before the first day of teaching.?
Formal prerequisite knowledge
There are no perquisites for taking this course. Master and PhD students can apply for the course, but admission priority is given to PhD students.
Teaching
The course duration is equivalent of 16 lecture hours and is offered each semester.
Examination
1 credit points for are awarded for 80% participation and submitting a reproducible Rmarkdown report
Language of examination
English
Grading scale
Pass/Fail
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.