Chapter 1 Preface

  • This online book is for those already somewhat familiar running Windows JAFROC to analyze data. It is also intended for those unfamiliar with Windows JAFROC but have read the other books and wish to apply the methods.
  • The Windows program has been replaced by RJafroc.
  • This book dives into how to use RJafroc to analyze ROC/FROC data.
  • It starts with explanation of the dataset structures for ROC and FROC studies.
  • This is followed by an explanation of DBM and OR analyses.
  • TBA.

1.1 Rationale and Organization

  • Intended as an online update to my print book (Dev P. Chakraborty 2017).
  • All references in this book to RJafroc refer to the R package with that name (case sensitive) (D. Chakraborty and Zhai 2022).
  • Since its publication in 2017 RJafroc, on which the R code examples in the print book depend, has evolved considerably causing many of the examples to “break” if one uses the most current version of RJafroc. The code will still run if one uses RJafroc 0.0.1 but this is inconvenient and misses out on many of the software improvements made since the print book appeared.
  • This gives me the opportunity to update the print book.
  • The online book has been divided into 3 books.

1.2 Getting help on the software

  • If you have installed RJafroc from GitHub:
    • ?RJafroc-package (RStudio will auto complete …) followed by Enter.
    • Scroll down all the way and click on Index
  • Regardless of where you installed from you can use the RJafroc website:

1.3 TBA Acknowledgements

1.3.1 Persons who have stimulated my thinking:

Harold Kundel, MD

Claudia Mello-Thoms, PhD

Dr. Xuetong Zhai (contributed significantly to the significance testing sections and other chapters of my book).

1.3.2 Contributors to the software

Dr. Xuetong Zhai (he developed the first version of RJafroc)

Dr. Peter Phillips

Online Latex Editor at this website. I found this very useful in learning and using Latex to write math equations.

1.3.3 Dataset contributors

TBA

1.4 Accessing files and code

To access files/code one needs to fork the GitHub repository. This will create, on your computer, a copy of all files used to create this document. To compile the files try Build Book and select gitbook. You will probably get errors corresponding to missing packages that are not loaded on your machine. All required packages are listed in the DESCRIPTION file. Install those packages and try again …

REFERENCES

Chakraborty, Dev P. 2017. Observer Performance Methods for Diagnostic Imaging: Foundations, Modeling, and Applications with r-Based Examples. Boca Raton, FL: CRC Press.
Chakraborty, Dev, and Xuetong Zhai. 2022. RJafroc: Artificial Intelligence Systems and Observer Performance. https://dpc10ster.github.io/RJafroc/.