Smoothing

Fit using smoothing splines and localized regression, smooth data with moving average and other filters

Apps

曲线拟合	Fit curves and surfaces to data

Functions

`datastats`	Data statistics
`excludedata`	Exclude data from fit
`fit`	Fit curve or surface to data
`fittype`	Fit type for curve and surface fitting
`fitoptions`	Create or modify fit options object
`get`	Get fit options structure property names and values
`set`	Assign values in fit options structure
`smooth`	平滑的响应数据
`prepareCurveData`	Prepare data inputs for curve fitting
`prepareSurfaceData`	Prepare data inputs for surface fitting

Topics

Smoothing Splines

Fit smoothing splines in Curve Fitting app or with thefitfunction to create a smooth curve through data and specify the smoothness.

Lowess Smoothing

Fit smooth surfaces to your data in Curve Fitting app or with thefitfunction using Lowess models.

Filtering and Smoothing Data

Use thesmoothfunction to smooth response data, using methods for moving average, Savitzky-Golay filters, and local regression with and without weights and robustness (lowess,loess,rlowessandrloess).

Fit Smooth Surfaces To Investigate Fuel Efficiency

This example shows how to use Curve Fitting Toolbox™ to fit a response surface to some automotive data to investigate fuel efficiency.

Nonparametric Fitting

Nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.

Smoothing

Apps

Functions

Topics

曲线拟合Toolbox Documentation

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