| Gegevensveld | Waarde |
|---|---|
| Osiriscode | BFVP17RLX1 |
| ECTS | 4 |
| Toetsvorm | Computertentamen |
| Minimum cijfer | 5,5 |
| Docent(en) | LADR, NOMI |
| Contactpersoon | NOMI |
| Voertaal | Nederlands |
After taking this course, you should be able to
- perform basic Linux command line tasks for file-, data- and tool-management. These include
alias,at,atq,atrm,cat,cd,cp,chmod,echo,egrep,export,find,head,htop,less,ls,man,mkdir,mv,nano,pwd,rm,rmdir,sed,tail,top, andtouch - use the R Integrated Development Environment (IDE) RStudio for writing and executing R code
- read embedded R documentation in order to correctly make use of the function described therein
- know the basic R data types (vectors, factors, lists and data frames), and how to create, convert, filter and manipulate them
- write R syntax, also using functions and flow control
- install and use R libraries
- import and export data from and to text files in delimited text formats
- perform exploratory data analysis using both textual and graphical output
- create well-decorated figures and use them appropriately
The (Linux) Shell offers a wealth of tools that help you perform data processing tasks easyier. In this course, the basics will be dealt with, focusing on the most used and useful commands.
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. The accompanying statistics course Statistiek1+2 of this theme deals with the more statistical aspects.
Literatuur
- John Verzani. Using R for Introductory Statistics (second edition, 2014). CRC Press ISBN 13-978-1-4665-9073-1
- Chapter 1
- Chapter 2.1, 2.2
- Chapter 3.2
- Chapter 4
- Chapter 5.1
- Appendix A.1 (Programming) Note this does not restrict the theory; everythong dealt with in the presentations is supposed to be known.
Web
- Blackboard course thema 4
- cursuswebsite: https://bincourses.bitbucket.io/informatica4.html
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- Hoor/werkcolleges
Beoordeling This course will be assessed using a 2-hour practical computer test. You are supposed to give all solutions/answers in an R Markdown file and submit both the markdown file and its Knitted PDF. These aspects will be taken into account when grading your work:
- Correctness and quality (efficiency/effectiveness) of the solutions
- The completeness of figures (axes, legends, titles)
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