Analyzing Single-Case Data with R and Scan

Version 24.11 (build 2)

Note

Please support open-access publishing by citing this work:

Wilbert, J. (2024). Analyzing single-case data with R and scan. doi: 10.5281/zenodo.13950860. https://jazznbass.github.io/scan-Book/

Preface

Hello everyone!

I am delighted to see that you have discovered this book, as it indicates that you are starting to explore the scan package. While scan has undergone extensive development, this book is still a work in progress (approximately 44% complete). I am continuously working on expanding its content. Currently, there is no official release version available; only this draft, which may contain errors.

If you have any suggestions for improving the book, wish to report bugs, or provide comments, feedback, and more, please visit the GitHub repository of this book and contribute here:
https://github.com/jazznbass/scan-Book/discussions.

Thank you very much!

Jürgen

27 October 2024

General references

This book has been created using Quarto within the RStudio (RStudio Team, 2018) environment. The analyses have been conducted with the R package scan at version 0.61.9999 (Wilbert & Lueke, 2024) and scplot at version 0.4.0.999 (Wilbert, 2024). R version 4.4.1 (2024-06-14) was used (R Core Team, 2024).

Note: The cover has been designed by Tony Wilbert and Henry Ritter.
Thanx for that!

R Core Team. (2024). R: A language and environment for statistical computing. Retrieved from https://www.R-project.org/

RStudio Team. (2018). RStudio: Integrated development environment for r. Retrieved from http://www.rstudio.com/

Wilbert, J. (2024). Scplot: Plot function for single-case data frames.

Wilbert, J., & Lueke, T. (2024). Scan: Single-case data analyses for single and multiple baseline designs. Retrieved from https://github.com/jazznbass/scan/