How can I save all of the outputs in a loop
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Below is my code (excluding loading the data). It runs about 1500 stepwise regressions using a for loop. I need to ad something to the code so the results of each stepwise regression will be saved as they loop through. Any help greatly appreciated I'm a newbie to matlab.
%Sort the Data
[rows, cols]=size(A03);
for i = 1:rows
for j = 1:cols
y=zeros(8,1)
x=zeros(8,3)
for m=1:8
y(m)=NDVI((m-1)*rows+i,j)
x(m,1)=PET((m-1)*rows+i,j)
x(m,2)=P((m-1)*rows+i,j)
x(m,3)=Amp((m-1)*rows+i,j)
end
%Run the stepwise Regression
if sum(sum(isnan(x)),2)==0 && sum(isnan(y))==0
xx=x(:,1:3); yy=y(:,1);
[B,SE,PVAL,INMODEL,STATS,NEXTSTEP,HISTORY]=stepwisefit(xx,yy,'penter',.05);
end
end
end
0 Kommentare
Antworten (1)
Guillaume
am 25 Feb. 2015
The simplest way is to save your results in matrices:
B = zeros([size(A03), 3); %third dimension is the number of columns in xx
SE = zeros([size(A03), 3);
PVAL = zeros([size(A03), 3);
INMODEL = logical(zeros([size(A03), 3));
STATS = struct('source', cell(size(A03))); %other fields automatically created on first iteration
NEXTSTEP = zeros(size(A03));
HISTORY = struct('B', cell(size(A03))); %other fields automatically created on first iteration
for row = %... %note don't use i and j as variables
%...
[B(row, col, :), SE(row, col, :), PVAL(row, col, :), INMODEL(row, col, :), STATS(row, col), NEXTSTEP(row, col), HISTORY(row, col)] = stepwisefit(...);
%...
Do you actually need all the return values of stepwisefit?
0 Kommentare
Siehe auch
Kategorien
Mehr zu Gaussian Process Regression finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!