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GNU Octave Beginner's Guide

You're reading from   GNU Octave Beginner's Guide Become a proficient Octave user by learning this high-level scientific numerical tool from the ground up

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Product type Paperback
Published in Jun 2011
Publisher Packt
ISBN-13 9781849513326
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Jesper Schmidt Hansen Jesper Schmidt Hansen
Author Profile Icon Jesper Schmidt Hansen
Jesper Schmidt Hansen
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Table of Contents (15) Chapters Close

GNU Octave
Credits
About the Author
About the Reviewers
1. www.PacktPub.com
2. Preface
1. Introducing GNU Octave FREE CHAPTER 2. Interacting with Octave: Variables and Operators 3. Working with Octave: Functions and Plotting 4. Rationalizing: Octave Scripts 5. Extensions: Write Your Own Octave Functions 6. Making Your Own Package: A Poisson Equation Solver 7. More Examples: Data Analysis 8. Need for Speed: Optimization and Dynamically Linked Functions Pop quiz - Answers

Chapter 7. More Examples: Data Analysis

Octave is an ideal tool to perform many different types of data analysis. The data can be generated by other programs or be collected from a database and then loaded into Octave's workspace. The data analysis tools in Octave are based on a truly impressive arsenal of different functions. We will only discuss a few of them here, namely, how to perform the simplest statistical analysis, function fitting, and Fourier (or spectral) analysis using the fast Fourier transform.

In brief terms, upon reading this chapter, you will learn:

  • More about the ASCII file formats that can be loaded into Octave's workspace.

  • How you can use Octave to perform simple descriptive statistics.

  • About fitting different functions to data.

  • How to use Octave to perform Fourier analysis.

Loading data files

When performing a statistical analysis of a particular problem, you often have some data stored in a file. In Chapter 4, it was shown how you can save your variables (or the entire...

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