Module: Data analysis and visualization using R (1)

* depending on the student population

Learning outcomes (leerdoelen)

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

Contents

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 and other resources

Literature
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Web

• Blackboard course of the minor
• https://michielnoback.github.io/bincourses/davur.html

  Competences

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Method

• Hoor/werkcolleges

Entry demands

• You need to be enrolled in a Bachelor programme in the Domain of Applied Science.

Entry demands for test

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Foreknowledge

• Working knowledge of distributions, basic statistical tests and descriptive statistics concepts are assumed.

Foreknowledge can be obtained through

• Statistics course(s)

Resources for self study

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Mandatory materials

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Recommended materials

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