Module: Informatica 4 (Introductie R & Linux)

Cursusdoelen (leerdoelen)

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, and touch
• 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

Inhoud

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 en andere bronnen

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

Competenties

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Werkvormen

• 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)

Ingangseisen

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Ingangseisen toets

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Voorkennis

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Voorkennis kan worden opgedaan met

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Bronnen van zelfstudie

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Verplicht materiaal

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Aanbevolen materiaal

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