MATLAB: How perform anova tests after using regress in MATLAB

regression

Hi! I'm trying to perform ANOVA analysis for a multiple regression model built using 
regress
This is my model:
clc; clear; close all;
load('pred_zeros')
D = [Zero L_mean R_mean];
D(any(isnan(D), 2), :) = []; %remove NaN from matrix D
%linear regression 
X  =[ones(size(D(:,1),1),1),D(:,1),D(:,2)];
b  = regress(D(:,3), X);
Rmean_regr = b(1) + D(:,1)*b(2) + D(:,2)*b(3);
[~,~,~,~,stats] = regress(D(:,3), X); %model statistic
I only generate model statistics using stats. How should i do?

Best Answer

Elisa, I think this might do what you want:
%linear regression 
d1 = D(:,1);
d2 = D(:,2);
d3 = D(:,3);
t = table(d1,d2,d3);
mdl12 = fitlm(t,'d3~d1+d2');
a = anova(mdl12)
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