在曲线拟合应用中创建多个拟合

工作流程，用于完善您的拟合度，比较多个拟合以及使用统计数据来确定最佳拟合度。

Explore and Customize Plots

在曲线拟合应用中，显示拟合，残留，表面或轮廓图；显示预测边界和多个图，使用Zoom，PAN，DATA CURSOR和离群值模式；更改轴限制和打印图。

Remove Outliers

Remove points or exclude by rule in Curve Fitting app or using thefitfunction, including excluding outliers by distance from the model, using standard deviations.

Select Validation Data

将您的拟合与验证数据或曲线拟合应用中的测试集进行比较。

Generate Code and Export Fits to the Workspace

Generate MATLAB code from an interactive session in the Curve Fitting app, recreate fits and plots, and analyze fits in the workspace.

评估a Curve Fit

此示例显示了如何使用曲线拟合。

评估表面拟合

此示例显示了如何与表面拟合一起工作。

Evaluating Goodness of Fit

After fitting data with one or more models, evaluate the goodness of fit using plots, statistics, residuals, and confidence and prediction bounds.

Compare Fits in Curve Fitting App

Search for the best fit by creating multiple fits, comparing graphical and numerical results including fitted coefficients and goodness-of-fit statistics, and analyzing your best fit in the workspace.

Compare Fits Programmatically

This example shows how to fit and compare polynomials up to sixth degree using Curve Fitting Toolbox, fitting some census data.

Residual Analysis

The residuals from a fitted model are defined as the differences between the response data and the fit to the response data at each predictor value.

Confidence and Prediction Bounds

曲线拟合Toolbox software lets you calculate confidence bounds for the fitted coefficients, and prediction bounds for new observations or for the fitted function.

Differentiating and Integrating a Fit

This example shows how to find the first and second derivatives of a fit, and the integral of the fit, at the predictor values.