www.gusucode.com > stats 源码程序 matlab案例代码 > stats/ConfidenceIntervalswithSpecifiedOptionsExample.m
%% Confidence Intervals with Specified Options %% % Load the sample data. load carbig %% % Fit a linear mixed-effects model for miles per gallon (MPG), with fixed % effects for acceleration and horsepower, and a potentially correlated % random effect for intercept and acceleration grouped by model year. First, % store the data in a table. tbl = table(Acceleration,Horsepower,Model_Year,MPG); %% % Fit the model. lme = fitlme(tbl, 'MPG ~ Acceleration + Horsepower + (Acceleration|Model_Year)'); %% % Compute the fixed-effects coefficient estimates. fe = fixedEffects(lme) %% % Compute the 99% confidence intervals for fixed-effects coefficients using % the residuals method to determine the degrees of freedom. This is the % default method. feCI = coefCI(lme,'Alpha',0.01) %% % Compute the 99% confidence intervals for fixed-effects coefficients using % the Satterthwaite approximation to compute the degrees of freedom. feCI = coefCI(lme,'Alpha',0.01,'DFMethod','satterthwaite') %% % The Satthertwaite approximation produces similar confidence intervals % than the residual method.