1、最小二乘法拟合直线MATLAB程序function linear_fit %最小二乘法拟合直线clear;clc;prompt=Name of data file;title=Linear_fit;lineNo=2;def=Linearfit.dat;outval=inputdlg(prompt,title,lineNo,def);if isempty(outval)=1,return,endfilename=outval1;data=load(filename);x=data(:,1);y=data(:,...
The fit function fits a configured incremental learning model for linear regression (incrementalRegressionLinear object) or linear binary classification (incrementalClassificationLinear object) to streaming data.
smooth(Y, span, method)说明:Z:平滑后的数据向量Y:被平滑的数据向量span:平滑点数,缺省为5点method :平滑方法,缺省为移动平滑,其它还有moving Moving average (default)单纯移动平均lowessLowess (linear fit)线性加权平滑loessLoess (quadratic fit)二次加权平滑sgolay Savitzky-Golayrlowess Robust Lowess (linear ...
Fit a linear regression model by using fitlm. Get mdl = fitlm(X,MPG) mdl = Linear regression model: y ~ 1 + x1 + x2 + x3 Estimated Coefficients: Estimate SE tStat pValue ___ ___ ___ ___ (Intercept) 47.977 3.8785 12.37 4.8957e-21 x1 -0.0065416 0.0011274 -5.8023 9.8742e-08 ...
知识点:一元线性回归公式,plot函数的简单使用,set设置轴线,x(y)label设置标签,hold on、hold off的作用,两种回归函数,LinearModel.fit,regress。 二、一元非线性回归(此处暂指幂对函数) 先上练习代码 clc;clear; x=[1.5,4.5,7.5,10.5,13.5,16.5,19.5,22.5,25.5]; ...
回归模型可分为线性回归模型和非线性回归模型。非线性回归模型是回归函数关于未知参数具有非线性结构的回归模型。某些非线性回归模型可以化为线性回归模型处理;如果知道函数形式只是要确定其中的参数则是拟合问题,可以使用MATLAB软件的curvefit命令或nlinfit命令拟合得到参数的估计并进行统计分析。本节主要考察线性回归模型。
function [ parameter ] = checkcostfunc( ) %CHECKC2 Summary ofthis function goes here % checkif the cost function works well % check with the matlab fit function as standard %check cost function 2 x=[1;2;3;4]; y=[1.1;2.2;2.7;3.8]; ...
(anonymousFunction) aFittype=fittype(anonymousFunction,Name,Value) fit()函数语法: fitobject=fit(x,y,fitType) fitobject=fit([x,y],z,fitType) fitobject=fit(x,y,fitType,fitOptions) fitobject=fit(x,y,fitType,Name,Value) [fitobject,gof]=fit(x,y,fitType) [fitobject,gof,output]=fit(x,y,...
For example, fit a linear model to data constructed with two out of five predictors not present and with no intercept term: Get X = randn(100,5); y = X*[1;0;3;0;-1] + randn(100,1); mdl = fitlm(X,y) mdl = Linear regression model: ...
fittype用于定义拟合函数类,fit进行函数拟合(可以拟合一元或二元线性函数) aFittype=fittype(libraryModeName)%利用库函数定义函数类aFittype=fittype(expression,Name,Type)%利用字符串定义函数类aFittype=fittype(linearModeTerm,Name,Type)%利用基函数的线性组合定义函数类aFittype=fittype(anonymousFunction,Name,Type)%利...