This website contains contains the materials for workshop An introduction to conditional inference trees in R offered Jan. 19, 2023, by Martin Schweinberger at the Rheinische Friedrich-Wilhelms-Universität Bonn.

This workshop focuses on conditional inference trees and their implementation in R. The workshop uses materials provided by the Language Technology and Data Analysis Laboratory (LADAL). If you want a more detailed tutorial on tree-based methods going beyond what the workshop covers see this LADAL tutorial or you would like to know more about doing statistics and text analysis with R, please free to visit and explore the LADAL website.

About me

Quantitative corpus-linguist

Studied Philosophy, English Philology and Psychology in Kassel and Galway PhD in Hamburg, Post docs (or similar positions) at the Linguistic Diversity in Urban Areas Excellence Cluster (LiMA), the FU Berlin, the Universities of Greifswald, Luneburg, and Kassel

About the workshop

Timeline | Table of Contents
* 14:15 - 14:45 Set up and Introduction
* 14:45 - 15:00 What are tree-based models and When to use them * 15:00 - 15:15 What are pros and cons?
* 15:15 - 15:40 Case study | Practice
* 15:40 - 15:45 Outro

During practice, we will use a Jupyter notebook and you can
* sit back and follow
* you can practice using the data provided by me
* you can try and use your own data (but I cannot help you in modifying the code)

Citation & Session Info

Schweinberger, Martin. 2023. An introduction to conditional inference trees in R. Bonn: Rheinische Friedrich-Wilhelms-Universität Bonn. url: (Version 2023.01.19).

  author = {Schweinberger, Martin},
  title = {An introduction to conditional inference trees in R},
  note = {},
  year = {2023},
  organization = "Rheinische Friedrich-Wilhelms-Universität Bonn},
  address = {Bonn},
  edition = {2023.01.19}

Back to the workshop repo