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MATLAB for Behavioral Scientists (Hardcover, 2nd edition)
Loot Price: R5,172
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MATLAB for Behavioral Scientists (Hardcover, 2nd edition)
Expected to ship within 12 - 17 working days
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Written specifically for those with no prior programming experience
and minimal quantitative training, this accessible text walks
behavioral science students and researchers through the process of
programming using MATLAB. The book explores examples, terms, and
programming needs relevant to those in the behavioral sciences and
helps readers perform virtually any computational function in
solving their research problems. Principles are illustrated with
usable code. Each chapter opens with a list of objectives followed
by new commands required to accomplish those goals. These
objectives also serve as a reference to help readers easily
relocate a section of interest. Sample code and output and chapter
problems demonstrate how to write a program and explore a model so
readers can see the results obtained using different equations and
values. A web site provides solutions to selected problems and the
book's program code output and examples so readers can manipulate
them as needed. The outputs on the website have color, motion, and
sound. Highlights of the new edition include: *Updated to reflect
changes in the most recent version of MATLAB, including special
tricks and new functions. *More information on debugging and common
errors and more basic problems in the rudiments of MATLAB to help
novice users get up and running more quickly. *A new chapter on
Psychtoolbox, a suite of programs specifically geared to behavioral
science research. *A new chapter on Graphical User Interfaces
(GUIs) for user-friendly communication. *Increased emphasis on
pre-allocation of memory, recursion, handles, and matrix algebra
operators. The book opens with an overview of what is to come and
tips on how to write clear programs followed by pointers for
interacting with MATLAB, including its commands and how to read
error messages. The matrices chapter reviews how to store and
access data. Chapter 4 examines how to carry out calculations
followed by a review of how to perform various actions depending on
the conditions. The chapter on input and output demonstrates how to
design programs to create dialogs with users (e.g., participants in
studies) and read and write data to and from external files.
Chapter 7 reviews the data types available in MATLAB. Readers learn
how to write a program as a stand-alone module in Chapter 8. In
Chapters 9 and 10 readers learn how to create line and bar graphs
or reshape images. Readers learn how to create animations and
sounds in Chapter 11. The book concludes with tips on how to use
MATLAB with applications such as GUIs and Psychtoolbox. Intended as
a primary text for Matlab courses for advanced undergraduate and/or
graduate students in experimental and cognitive psychology and/or
neuroscience as well as a supplementary text for labs in data
(statistical) analysis, research methods, and computational
modeling (programming), the book also appeals to individual
researchers in these disciplines who wish to get up and running in
MATLAB.
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