How to find the row wise linear regression coefficients?

8 次查看(过去 30 天)
I have 3 matrices Y, x1, and x2 each having 3420 rows and 29 columns. I want the row wise linear regression coefficients of Y on x1, x2, and the interaction between x1 and x2 for their corresponding rows such that the regression coefficient term for each of them is of 3420 rows and 1 column.
I tried the following code:
y=rand([3420,28]);
x1=rand([3420,28]);
x2=rand([3420,28]);
n = 3420;
b = zeros(n,4);
X=zeros(n,4);
for i=1:n
X(i,4)=[ones([28,1]) x1(i,:)' x2(i,:)' (x1(i,:).*x2(i,:))'];
b(i,4)=(regress(y(i,:)',X(i,4)))';
end
But it is not giving the desired result.
How to get the linear regression coefficients of Y on x1, x2, and interaction between x1, x2 as a 3420 rows and 1 column array?

采纳的回答

Ive J
Ive J 2021-10-30
nsample = 29;
nvar = 3420;
% sample data
y = rand(nsample, nvar);
x1 = rand(nsample, nvar);
x2 = rand(nsample, nvar);
xInt = x1.*x2;
intercept = ones(nsample, 1);
beta = zeros(nvar, 4);
for i = 1:nvar
desMat = [intercept, x1(:, i), x2(:, i), xInt(:, i)];
beta(i, :) = regress(y(:, i), desMat);
end
size(beta)
ans = 1×2
3420 4
Each row of beta contains coefficients for each variables in nvar.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Testing Frameworks 的更多信息

产品


版本

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by