| Datafield | Value |
|---|---|
| Osiriscode | BFVH19DAVUR1 |
| ECTS | 3 |
| Assessment | Computer exam |
| Minimum grade | 5,5 |
| Lecturer(s)) | NOMI |
| Contact person | NOMI |
| Language | Nederlands/English* |
| * depending on the student population |
After taking this course, you should be able to
- use the R IDE RStudio for writing and executing R code
- use R Markdown to create reporting documents with embedded R code and output
- read R documentation and apply these to your work cases
- know the basic R data types (vectors, lists and data frames), and how to use and manipulate them
- write basic R syntax using functions and flow control
- install and use external R libraries
- import and export data from and to –sometimes inconsistent- text files
- perform exploratory data analysis using both textual and graphical output
- create well-decorated charts and figures and use them appropriately
R is a programming language and software environment for data analysis, statistical computing and visualization. In this course you will learn to use R in these three areas, in particular data analysis and visualization.
Assessment This course will be assessed using a 2-hour practical computer test.
Literature
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Web
- Blackboard course of the minor
- https://michielnoback.github.io/bincourses/davur.html
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- Hoor/werkcolleges
- You need to be enrolled in a Bachelor programme in the Domain of Applied Science.
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- Working knowledge of distributions, basic statistical tests and descriptive statistics concepts are assumed.
- Statistics course(s)
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