Storing regression coefficients in a loop
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Hello,
I'm doing a simple linear regression on a 20x30x365 matrix (latitude, longitude, time). I want to store the slope and p - value for each lat/lon pair such that the end result are two 20x30 matrices. I'm attaching some dummy data and my attempted code below. Thank you.
X = size(prec,3);
i = 20;
j = 30;
slopes = zeros(i,j);
pvals = zeros(i,j);
for i = 1:i
for j= 1:j
mdl = fitlm(X,prec(i,j,:));
slope = table2array(mdl.Coefficients(2,1));
pval = table2array(mdl.Coefficients(2,4));
slopes = slope(i,j);
pvals = pval(i,j);
end
end
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Risposta accettata
VBBV
il 7 Dic 2021
Modificato: VBBV
il 8 Dic 2021
slopes(i,j) = slope;
pvals(i,j) = pval;
2 Commenti
VBBV
il 8 Dic 2021
n = size(prec,3);
X = (1:1:n)';
I = 20; % change this variable with a differnt letter
J = 30; % same here
slopes = zeros(I,J);
pvals = zeros(I,J);
for i = 1:I
for j= 1:J
y = reshape(prec(i,j,:),[n,1]);
mdl = fitlm(X,y);
slope = table2array(mdl.Coefficients(2,1));
pval = table2array(mdl.Coefficients(2,4));
slopes(i,j) = slope;
pvals(i,j) = pval;
end
end
When the for loop runs, its using concurrent values of i and j. Change the symbols as above and run it
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