Quantitative Analysis Guide

A comprehensive collection of brief video tutorials for data cleaning/management, analysis, and visualization in MATLAB.

Official Documentation

Tutorials and Learning Resources Videos, interactive tutorials, user-guides and other instructive resources provided by MathWorks, Universities, and others

Interactive Tutorials Interactive tutorials designed especially for students. Faculty may use this material to supplement their courses. The tutorials are narrated by engineers from MathWorks and include several interactive exercises to reinforce learning.

Featured Web Resources

Loren on the Art of MATLAB A very useful blog by Loren Shure, one of the principal developers at MathWorks

Visualization Resources

A powerful visualization toolbox, inspired by R's ggplot2 library, allows to quickly create complex, publication-quality figures.

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Forums

Library Resources

NYU Library databases likely to contain relevant resources:

Ebook Central is NYU's preferred ebook provider. Users can search, read, highlight, and annotate full-text books in many subject areas, including the social sciences and humanities.

Skillsoft Books (formerly Books24x7) is an online collection of computer technology-related ebooks. It contains hundreds of books and videos from respected IT publishers such as MIT Press, Microsoft Press, Osborne/McGraw-Hill, Que, Sams, Sybex and Wiley. Use it to search for a wide variety of books and videos, ranging from beginners level to advanced (Microsoft Word for beginners or an advanced programming language).

O'Reilly's Safari Books Online provides access to ebooks related to technology, coding, developing, web design, and data visualization.

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Selected books on the topic (available online):

MATLAB® by Example by Munther Gdeisat; Francis Lilley MATLAB By Example guides the reader through each step of writing MATLAB programs. The book assumes no previous programming experience on the part of the reader, and uses multiple examples in clear language to introduce concepts and practical tools. Straightforward and detailed instructions allow beginners to learn and develop their MATLAB skills quickly. The book consists of ten chapters, discussing in detail the integrated development environment (IDE), scalars, vectors, arrays, adopting structured programming style using functions and recursive functions, control flow, debugging, profiling, and structures. A chapter also describes Symbolic Math Toolbox, teaching readers how to solve algebraic equations, differentiation, integration, differential equations, and Laplace and Fourier transforms. Containing hundreds of examples illustrated using screen shots, hundreds of exercises, and three projects, this book can be used to complement coursework or as a self-study book, and can be used as a textbook in universities, colleges and high schools.

MATLAB for Psychologists by Mauro Borgo; Alessandro Soranzo; Massimo Grassi The matrix laboratory interactive computing environment--MATLAB--has brought creativity to research in diverse disciplines, particularly in designing and programming experiments. More commonly used in mathematics and the sciences, it also lends itself to a variety of applications across the field of psychology. For the novice looking to use it in experimental psychology research, though, becoming familiar with MATLAB can be a daunting task. MATLAB for Psychologists expertly guides readers through the component steps, skills, and operations of the software, with plentiful graphics and examples to match the reader's comfort level. Using an extended illustration, this concise volume explains the program's usefulness at any point in an experiment, without the limits imposed by other types of software. And the authors demonstrate the responsiveness of MATLAB to the individual's research needs, whether the task is programming experiments, creating sensory stimuli, running simulations, or calculating statistics for data analysis. Key features of the coverage: Thinking in a matrix way. Handling and plotting data. Guidelines for improved programming, sound, and imaging. Statistical analysis and signal detection theory indexes. The Graphical User Interface. The Psychophysics Toolbox. MATLAB for Psychologists serves a wide audience of advanced undergraduate and graduate level psychology students, professors, and researchers as well as lab technicians involved in programming psychology experiments.

Text Mining with MATLAB® by Rafael E. Banchs Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation.

Numerical Methods by George Lindfield; John Penny Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board. Over 500 numerical algorithms, their fundamental principles, and applications Graphs are used extensively to clarify the complexity of problems Includes coded genetic algorithms Includes the Lagrange multiplier method User-friendly and written in a conversational style