MATLAB 数据分析手册
1、Data ProcessingImporting and Exporting Data .......................... 1-2
Importing Data into the Workspace ..................... 1-2
Exporting Data from the Workspace .................... 1-2
Plotting Data ........................................ 1-3
Introduction ...................................... 1-3
Load and Plot Data from Text File ...................... 1-3
Missing Data in MATLAB .............................. 1-6
Data Smoothing and Outlier Detection .................. 1-11
Inconsistent Data ................................... 1-24
Filter Data ......................................... 1-26
Filter Difference Equation .......................... 1-26
Moving-Average Filter of 7raffic Data .................. 1-26
Modify Amplitude of Data ........................... 1-27
Smooth Data with Convolution ......................... 1-31
Detrending Data .................................... 1-35
Introduction ..................................... 1-35
Remove Linear Trends from Data ..................... 1-35
Descriptive Statistics ................................ 1-39
Functions for Calculating Descriptive Statistics .......... 1-39
Example: Using MATLAB Data Statistics ................ 1-41
2、Interactive Data Exploration
What Is Interactive Data Exploration? .................... 2-2
Interacting with MATLAB Data Graphs .................. 2-2
Marking Up Graphs with Data Brushing .................. 2-4
What Is Data Brushing? ............................. 2-4
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 Behave ........................... 2-14
Linking vs. Refreshing Plots ......................... 2-17
Using Linked Plot Controls .......................... 2-19
Interacting with Graphed Data ......................... 2-22
Data Brushing with the Variables Editor ................ 2-22
Using Data Tips to Explore Graphs .................... 2-23
Example — Visually Exploring Demographic Statistics ..... 2-24
3、Regression Analysis
Linear Correlation .................................... 3-2
Introduction ...................................... 3-2
Covariance ....................................... 3-3
Correlation Coefficients ............................. 3-4
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
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 ...................... 3-18
Programmatic Fitting ................................ 3-35
MATLAB Functions for Polynomial Models .............. 3-35
Linear Model with Nonpolynomial Terms ............... 3-41
Multiple Regression ............................... 3-42
Programmatic Fitting .............................. 3-44
4Time 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
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