This is the main course website for the tutorial "Introduction to R for scholars of humanities and social sciences" given in summer term 2022 at University of Bayreuth.
News¶
- 17. June 2022: This week we’ll get to know loops!
- 10. June 2022: Function of the week: merge!
- 03. June 2022: Function of the week: aggregate!
- 20. May 2022: We start plotting our data!
- 13. May 2022: This week is dedicated to working with data
- 06. May 2022: Tutorial starts! See the videos section to access the relevant content.
Recordings of the lecture are available online. Please see the schedule for a selection of relevant videos.
Syllabus¶
This course covers the basics of R: What are variables and how are they used? What data structures are there and what can we model with them? How do programming concepts like loops and functions work in R and what are they necessary for?
The course prepares students to be able to perform data analysis independently. Therefore, reading and writing external data files is an important topic as well as preparation of data for visualization and its actual visualization.
Special attention is paid to dealing with error messages. These contain important information about the parts of the program code that need to be revised. Therefore, we will provoke diverse error messages and learn to tackle the causes of them. In the course, students will learn how to independently search for help and apply it to their own problems.
Finally, the course includes some special tasks for humanities and social science students, such as social network analysis and text analysis.
Schedule¶
In this section, you will find a list of tutorial videos helping you to get started with analyzing text data in R.
General Remarks¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Submitting and Evaluating your Assignments | |||
| Getting Help | |||
| Find Help on the Internet | |||
| Thinking in Scripts |
Hello World¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Getting Started in RStudio |
|
||
| About Variables | |||
| About Vectors | |||
| Functions | |||
| Functions accepting parameters |
Dataframes¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| About Dataframes | |||
| Modifying dataframes |
Working with external data¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Read in data files | |||
| Obstacles with data files: Separators | |||
| Dealing with missing values |
Sort & Order¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Sorting values and dataframes |
Conditions¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Comparing Things | |||
| Combining multiple comparisons | |||
| Conditional Selects |
Visualization¶
Aggregate¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Aggregate data |
Advanced Aggregate¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Advanced use of aggregate function |
Merge¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Merge tables |
Advanced Merge¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| Advanced use of merge: specify columns | |||
| Advanced use of merge: missing data | |||
| Advanced use of merge: multiple columns | |||
| Advanced use of merge: continuous merge |
Loops in R¶
| Title | Video | Source-Code | Material |
|---|---|---|---|
| for-loops | |||
| sapply-loops | |||
| When to use sapply vs. when to use for | |||
| Looping(s) through datasets |
Legend¶
| Find the video here | |
| Find code material here | |
| Find external material here |
References¶
- Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto, and David Lusseau. An Introduction to R. online, https://intro2r.com/, 2022. https://intro2r.com/.