拟合后处理
App
曲线拟合器 | 对数据进行曲线和曲面拟合 |
函数
cfit | cfit 对象的构造函数 |
coeffnames | cfit 、sfit 或 fittype 对象的系数名称 |
coeffvalues | cfit 或 sfit 对象的系数值 |
confint | cfit 或 sfit 对象的拟合系数的置信区间 |
differentiate | Differentiate cfit or sfit
object |
feval | Evaluate cfit , sfit , or
fittype object |
integrate | 对 cfit 对象求积分 |
plot | Plot cfit or sfit object |
predint | Prediction intervals for cfit or sfit
object |
probvalues | cfit 或 sfit 对象的问题相关参数值 |
quad2d | Numerically integrate sfit object |
sfit | sfit 对象的构造函数 |
主题
- Create Multiple Fits in Curve Fitter App
Workflow for refining your fit, comparing multiple fits, and using statistics to determine the best fit.
- Explore and Customize Plots
In the Curve Fitter app, display fit, residual, surface, or contour plots; display prediction bounds and multiple plots, use zoom, pan, data cursor, and outliers modes; change axes limits and print plots.
- Export Fit from Curve Fitter App to Simulink Lookup Table
Export a surface fit from the Curve Fitter app to a Simulink® 2-D lookup table.
- Remove Outliers
Remove points interactively or exclude them by rule in the Curve Fitter app. Alternatively, exclude outliers by using the
fit
function. You can exclude data based on their distance from the model, in standard deviations. - Select Validation Data
Compare your fit with validation data or test set in the Curve Fitter app.
- Generate Code and Export Fits to the Workspace
Generate MATLAB code from an interactive session in the Curve Fitter app, recreate fits and plots, and analyze fits in the workspace.
- 评估曲线拟合
此示例说明如何使用曲线拟合。
- 评估曲面拟合
此示例说明如何使用曲面拟合。
- 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 Fitter App
Find the best fit by comparing visual and numeric results, including fitted coefficients and goodness-of-fit statistics.
- 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
Curve Fitting 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.