没有合适的资源？快使用搜索试试~ 我知道了~

首页"Matlab Curve Fitting Toolbox用户手册及支持信息"

"Matlab Curve Fitting Toolbox用户手册及支持信息"

5星 · 超过95%的资源需积分: 1 7 下载量 55 浏览量更新于2024-01-13 1 收藏 2.21MB PDF 举报

The "Curve Fitting Toolbox" is a powerful tool for the computation, visualization, and programming tasks in MATLAB®. This user's guide version 1 provides comprehensive instructions on how to effectively utilize this toolbox for various curve fitting applications. Users can access technical support, product enhancement suggestions, bug reports, and documentation error reports by contacting The MathWorks through their website, newsgroup, or email. Additionally, users can inquire about order status, license renewals, passcodes, sales, pricing, and general information by phone or fax. With the "Curve Fitting Toolbox," users can easily perform curve fitting tasks with precision and efficiency. This toolbox is a valuable resource for researchers, engineers, and data analysts looking to streamline their curve fitting processes. With its user-friendly interface and extensive capabilities, the "Curve Fitting Toolbox" is an essential tool for MATLAB® users seeking to enhance their data analysis and visualization workflows.

1 Getting Started with the Curve Fitting Toolbox

1-2

Opening the Curve Fitting Tool

The Curve Fitting Tool is a graphical user interface (GUI) that allows you to

• Visually explore one or more data sets and fits as scatter plots.

• Graphically evaluate the goodness of fit using residuals and prediction

bounds.

• Access additional interfaces for

- Importing, viewing, and smoothing data

- Fitting data, and comparing fits and data sets

- Marking data points to be excluded from a fit

- Selecting which fits and data sets are displayed in the tool

- Interpolating, extrapolating, differentiating, or integrating fits

You open the Curve Fitting Tool with the

cftool command.

cftool

Importing the Data

1-3

Importing the Data

Before you can import data into the Curve Fitting Tool, the data variables must

exist in the MATLAB workspace. For this example, the data is stored in the file

census.mat, which is provided with MATLAB.

load census

The workspace now contains two new variables, cdate and pop:

•

cdate is a column vector containing the years 1790 to 1990 in 10-year

increments.

•

pop is a column vector with the US population figures that correspond to the

years in

cdate.

You can import data into the Curve Fitting Tool with the Data GUI. You open

this GUI by clicking the

Data button on the Curve Fitting Tool. As shown

below, the Data GUI consists of two panes: Data sets and Smooth. The Data

Sets pane allows you to

• Import predictor (X) data, response (Y) data, and weights. If you do not

import weights, then they are assumed to be 1 for all data points.

• Specify the name of the data set.

• Preview the data.

1 Getting Started with the Curve Fitting Toolbox

1-4

To load cdate and pop into the Curve Fitting Tool, select the appropriate

variable names from the

X Data and Y Data lists. The data is then displayed

in the

Preview window. Click the Create data set button to complete the data

import process.

The Smooth pane is described in Chapter 2, “Importing, Viewing, and

Preprocessing Data.”

Select the data

variable names.

Click

Create data set

to import the data.

Fitting the Data

1-5

Fitting the Data

You fit data with the Fitting GUI. You open this GUI by clicking the Fitting

button on the Curve Fitting Tool. The Fitting GUI consists of two parts: the

Fit

Editor

and the Table of Fits. The Fit Editor allows you to

• Specify the fit name, the current data set, and the exclusion rule.

• Explore various fits to the current data set using a library or custom

equation, a smoothing spline, or an interpolant.

• Override the default fit options such as the coefficient starting values.

• Compare fit results including the fitted coefficients and goodness of fit

statistics.

The

Table of Fits allows you to

• Keep track of all the fits and their data sets for the current session.

• Display a summary of the fit results.

• Save or delete the fit results.

The Data Fitting Procedure

For this example, begin by fitting the census data with a second degree

polynomial. Then continue fitting the data using polynomial equations up to

sixth degree, and a single-term exponential equation.

The data fitting procedure follows these general steps:

1 From the Fit Editor, click New Fit.

Note that this action always defaults to a linear polynomial fit type. You use

New Fit at the beginning of your curve fitting session, and when you are

exploring different fit types for a given data set.

2 Because the initial fit uses a second degree polynomial, select quadratic

polynomial

from the Polynomial list. Name the fit poly2.

3 Click the Apply button or select the Immediate apply check box. The

library model, fitted coefficients, and goodness of fit statistics are displayed

in the

Results area.

1 Getting Started with the Curve Fitting Toolbox

1-6

4 Fit the additional library equations.

For fits of a given type (for example, polynomials), you should use

Copy Fit

instead of

New Fit because copying a fit retains the current fit type state

thereby requiring fewer steps than creating a new fit each time.

The Fitting GUI is shown below with the results of fitting the census data with

a quadratic polynomial.

The Table of Fits allows you to keep

track of all the fits, their data sets,

and fit results for the current session.

The Fit Editor allows you to select a data

set and a fit name, and to explore and

compare various library and custom fits.

剩余215页未读，继续阅读

小锋学长生活大爆炸

粉丝: 10w+
资源: 49

上传资源快速赚钱

我的内容管理展开

我的资源快来上传第一个资源

我的收益

登录查看自己的收益

我的积分登录查看自己的积分

我的C币登录后查看C币余额

我的收藏

我的下载

下载帮助

"Matlab Curve Fitting Toolbox用户手册及支持信息"

Curve Fitting Toolbox | matlab工具箱

matlab工具箱使用指南

MatLab工具箱应用指南

Matlab工具箱应用指南

matlab中curve fitting toolbox工具箱

matlab2021支持Curve Fitting Toolbox工具箱吗

如何确定matlab是否安装Curve Fitting Toolbox工具箱

支持Curve Fitting Toolbox工具箱的MATLAB版本

怎么代开 matlab的Curve Fitting Toolbox"工具箱

matlab工具箱EzyFit 2.45 A free curve fitting toolbox for Matlab

最新资源