Repeat resampling with replacement process several times

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Hello,
I have the below code for resampling with replacement.
res1 = [];
res2 = [];
% centerd matrix size:2X7
cen1=centered(1,:);
cen2=centered(2,:);
for j=1:7
res1_temp=cen1(randi(7,1));
res1= [res1 res1_temp];
%
res2_temp=cen2(7,1));
res2= [res2 res2_temp];
end
res_total=[res1; res2]; % 2X7
Now I have to repeat this process 170 times because centered matrix size is 170X7. That is, must have
re1=[];
res2=[];
.......
res170[];
......
res_total=[res1;res2,.....
res170];
and the res_total should be 170X7. How can I as easy as possible?

Accepted Answer

VBBV
VBBV on 21 Nov 2022
Edited: VBBV on 21 Nov 2022
res1 = [];
res2 = [];
centered = rand(170,7)
centered = 170×7
0.6558 0.6340 0.7993 0.3911 0.8091 0.8170 0.1949 0.9049 0.7951 0.6934 0.1121 0.0001 0.1897 0.4469 0.3652 0.0276 0.8570 0.7298 0.7666 0.3056 0.2107 0.9367 0.4151 0.2733 0.7628 0.5691 0.6688 0.8626 0.6983 0.4839 0.8889 0.4091 0.7523 0.3580 0.3595 0.9022 0.9422 0.6523 0.8360 0.9986 0.3244 0.6809 0.0640 0.9521 0.1633 0.6885 0.4294 0.0889 0.3304 0.5681 0.7248 0.8518 0.8903 0.8060 0.3555 0.2800 0.3060 0.6259 0.1338 0.7183 0.2156 0.2771 0.4144 0.2730 0.7219 0.0963 0.6360 0.6344 0.2485 0.8829
% centerd matrix size:2X7
% cen1=centered(1,:);
% cen2=centered(2,:);
for j=1:85
cen1 = centered(j,:);
res1(j,:) = cen1;
%
cen2 = centered(j+85,:);
res2(j,:) = cen2;
end
res_total=[res1; res2] % 2X7
res_total = 170×7
0.6558 0.6340 0.7993 0.3911 0.8091 0.8170 0.1949 0.9049 0.7951 0.6934 0.1121 0.0001 0.1897 0.4469 0.3652 0.0276 0.8570 0.7298 0.7666 0.3056 0.2107 0.9367 0.4151 0.2733 0.7628 0.5691 0.6688 0.8626 0.6983 0.4839 0.8889 0.4091 0.7523 0.3580 0.3595 0.9022 0.9422 0.6523 0.8360 0.9986 0.3244 0.6809 0.0640 0.9521 0.1633 0.6885 0.4294 0.0889 0.3304 0.5681 0.7248 0.8518 0.8903 0.8060 0.3555 0.2800 0.3060 0.6259 0.1338 0.7183 0.2156 0.2771 0.4144 0.2730 0.7219 0.0963 0.6360 0.6344 0.2485 0.8829
  3 Comments
VBBV
VBBV on 21 Nov 2022
May be you mean this instead
% res1 = [];
% res2 = [];
centered = rand(170,7);
for j=1:170
res_total(j,:)=centered(randi(j),:);
end
res_total
res_total = 170×7
0.4400 0.2235 0.8825 0.6564 0.4160 0.3429 0.0489 0.4400 0.2235 0.8825 0.6564 0.4160 0.3429 0.0489 0.0892 0.7041 0.9296 0.5553 0.7713 0.8969 0.5811 0.4400 0.2235 0.8825 0.6564 0.4160 0.3429 0.0489 0.0892 0.7041 0.9296 0.5553 0.7713 0.8969 0.5811 0.0892 0.7041 0.9296 0.5553 0.7713 0.8969 0.5811 0.1172 0.3186 0.5401 0.9210 0.5579 0.0420 0.7755 0.7331 0.6314 0.0854 0.2315 0.7209 0.7810 0.0977 0.8592 0.8540 0.0853 0.2848 0.9761 0.5497 0.2875 0.7331 0.6314 0.0854 0.2315 0.7209 0.7810 0.0977

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