MATLAB Data Analysis

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With MATLAB® and related data analysis products you perform analyses and gain insight into your data in a fraction of the time required with spreadsheets or traditional programming languages such as C, C++, or Visual Basic. These products combine a powerful numeric engine and programming environmen
y September 2005 Online only New for MATLAB Version 7. 1(Release 14SP3 March 2006 Online only Revised for MatLaB Version 7. 2Release 2006a September 2006 Online only Revised for MaTLAB Version 7. 3(Release 2006b March 2007 Online onl Revised for MATLAB Version 7.4(Release 2007a September 2007 Online only Revised for MATLAB Version 7.5 (Release 2007b) March 2008 Online only Revised for MatLAB Version 7. 6( Release 2008a) October 2008 Online on Revised for MATLAB Version 7. 7 Release 2008b) March 2009 Online only Revised for MaTLAB 7.8 ( Release 2009a) September 2009 Online only Revised for MatLAB 7.9(Release 2009b) March 2010 Online only Revised for MaTLAB 7. 10(Release 2010a) September 2010 Online only Revised for MatLAB Version 7.11(R2010b) April 2011 Online only Revised for MatLAb Version 7. 12(R2011a September 2011 Online only Revised for MATLAB Version 7. 13(R2011b March 2012 Online only Revised for MaTLAB Version 7. 14(R2012a) September 2012 Online only Revised for Matlab Version 8.0(R2012b) March 2013 Online only Revised for MatLAB Version 8.1(R2013a September 2013 Online only Revised for matLaB Version 8.2(R2013b March 2014 Online only Revised for MatLAB Version 8.3(R2014a October 2014 Online only Revised for MATLAB Version 8.4(R2014b) March 2015 Online only Revised for MATLAB Version 8.5(R2015a) September 2015 Online only Revised for MATLAB Version 8.6(R2015b) March 2016 Online only Revised for MaTLAB Version 9.0(R2016a) September 2016 Online only Revised for MATLAB Version 9. 1(R2016b) March 2017 Online only Revised for MATLAB Version 9.2(R2017a) Contents Data Processing Importing and Exporting Data 1-2 Importing Data into the Workspace 1-2 Exporting Data from the Workspace Plotting Data Introduction 1-3 Load and plot data from Text file 1-3 Missing Data 1-6 Representing Missing Data Values 1-6 Calculating with aNs 1-6 Identifying and removing nans 1-7 Fill Missing Data 8 Inconsistent Data 1-9 Filter dat 1-11 Filter Difference Equation 1-11 Moving-Average Filter of Traffic Data 1-11 Modify amplitude of Data 1-12 Smooth data with Convolution 1-15 Detrending Data 1-19 Introduction 1-19 Remove Linear Trends from data 1-19 Descriptive Statistics 1-23 Functions for Calculating Descriptive Statistics 1-23 Example: Using MAtLAB Data Statistics 1-25 Interactive Data Exploration 2 What Is Interactive Data Exploration? 2-2 Interacting with MATLAB Data Graphs 2-2 Marking Up graphs with Data brushing -4 What Is Data brushing? How to Brush data 2-5 Effects of Brushing on Data 2-8 Other Data Brushing Aspects 2-10 Making graphs Responsive with Data Linking 2-12 What Is Data Linking? 2-12 Why Use Linked Plots? 2-13 How to link plots....,,,,,,,,,,,,,,,,,,,,,,,,,,2-13 How Linked plots behav 2-14 Linking vs Refreshing Plots 2-16 Using Linked Plot controls 2-18 Interacting with Graphed Data 2-21 Data Brushing with the Variables Editor 2-21 Using Data Tips to Explore Graphs 2-22 Example- Visually exploring Demographic Statistics 2-23 Regression Analysis 3 Linear correlation 3-2 Introductio 3-2 Covariance 3-3 Correlation Coefficients Linear regression 3-6 Introduction 3-6 Simple linear regression 3-7 Residuals and goodness of Fit 3-11 Fitting Data with Curve Fitting Toolbox Functions 3-15 Contents Interactive Fitting 3-16 The Basic Fitting UI 3-16 Preparing for Basic Fitting 3-16 Opening the Basic Fitting UI 3-17 Example: Using Basic Fitting UI 3-19 Programmatic Fitting 3-37 MATLAB Functions for Polynomial models 3-37 Linear model with Nonpolynomial Terms 3-43 Multiple regression 3-44 Programmatic Fitting 3-46 Time Series analysis What Are Time series? 4-2 Time Series Objects 4-3 Types of Time Series and Their Uses 4-3 Time Series Data Sample 4-3 Example: Time Series Objects and Methods 4-5 Time Series Constructor 4-17 Time Series collection Constructor 4-17 Data Processing “ Importing and exporting data” on page1-2 “ Plotting data” on page1-3 Missing Dataon page 1-6 “ Inconsistent data” on page1-9 “ Filter data” on page1-11 “ Smooth data with convolution?” on page1-15 “ Detrending data” on page1-19 “ Descriptive statistics” on page1-23 Data processing Importing and Exporting Data In this section Importing Data into the Workspace"on page 1-2 Exporting Data from the Workspace"on page 1-2 Importing Data into the Workspace The first step in analyzing data is to import it into the matlab workspace. See Methods for Importing Data" for information about importing data from specific file formats Exporting Data from the Workspace When you analyze your data, you might create new variables or modified imported variables. You can export variables from the matlab workspace to various file formats both character-based and binary. You can, for example, create hDF and microsoft Excel files containing your data. For details, see the documentation on"Supported File Formats for Import and Export 1-2

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