Use R!

Modeling Psychophysical Data in R

Authors: Knoblauch, Kenneth, Maloney, Laurence T.

  • Takes a hands-on approach to using psychophysical methods in a way that connects them properly to modern statistical practice
  • Provides accessible approach to the material for established or new users of R or any other programming language. Practicing with R will help readers learn the language
  • Extensive programming examples of R in the text include source code
  • Includes accompanying website with extensions to material covered here
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  • ISBN 978-1-4614-4475-6
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About this book

Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data.

R is an open-source  programming language that is widely used by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities for optimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recently developed statistical methods.

This book does not assume that the reader is familiar with R, and a little experience with any programming language is all that is needed to appreciate this book. There are large numbers of examples of R in the text and the source code for all examples is available in an R package MPDiR available through R.
Kenneth Knoblauch is a researcher in the Department of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and Brain Research Institute and associated with the University Claude Bernard, Lyon 1, in France. 

Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematical models to perception, motor control and decision making.

About the authors

Kenneth Knoblauch is a researcher in the Department of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and Brain Research Institute and associated with the University Claude Bernard, Lyon 1, in France. 

Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematical models to perception, motor control and decision making.

Reviews

Although the applications of R presented in this text are focused on the analysis of psychophysical data, the methodology is generalizable to many other areas in statistics. For example, coverage of solving equations by maximum likelihood and the various general linear model functions are applicable in many situations which occur in statistical data analysis. I found the discussion of ROC analysis to be very useful in many other areas of statistics also. Therefore, I would recommend this text to anyone who works with, or is interested in, psychophysical data or even to anyone who wants to increase their knowledge of R.
Technometrics, 56:1 2014


Table of contents (9 chapters)

  • A First Tour Through R by Example

    Knoblauch, Kenneth (et al.)

    Pages 1-20

  • Modeling in R

    Knoblauch, Kenneth (et al.)

    Pages 21-60

  • Signal Detection Theory

    Knoblauch, Kenneth (et al.)

    Pages 61-105

  • The Psychometric Function: Introduction

    Knoblauch, Kenneth (et al.)

    Pages 107-139

  • The Psychometric Function: Continuation

    Knoblauch, Kenneth (et al.)

    Pages 141-166

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-1-4614-4475-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $89.99
price for USA
  • ISBN 978-1-4614-4474-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Modeling Psychophysical Data in R
Authors
Series Title
Use R!
Series Volume
32
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-4475-6
DOI
10.1007/978-1-4614-4475-6
Softcover ISBN
978-1-4614-4474-9
Series ISSN
2197-5736
Edition Number
1
Number of Pages
XV, 365
Number of Illustrations and Tables
99 b/w illustrations, 4 illustrations in colour
Topics