Why do I get a 6x30 matrix instead than a 1031x30

Hi, I run this code and I got as a result a 6x30 matrix instead than a 1031x30.

Total weeks is long 1052 cells, startweek is 8. orderweeks is 6 cells long, and the result shows only the last 6 rows of the whole period.

for k = startweek:totalweeks-p1-p2-1 
start1 = k; 
stop1 = start1+p1-1; 
orderweeks = start1:stop1; 

 start2 = stop1+2; 
 stop2 = start2+p2-1; 
 holdweeks = start2:stop2; 

 nstocks = nbrstocks(k);

% order R for the ordering weeks

 data1 = stockdata(orderweeks, 1:nstocks);

I am not sure I made myself very clear.... Thanks anyway

PP.

[Walter Roberson]

Where is the end of your "for" loop?

As you are in a "for" loop, which variable are you saving results into that is not overwritten by the next iteration of the loop ?

Answer 1

[PaoloPa]

Ok then I put the whole code..

for k = startweek:totalweeks-1-p1-p2

start1 = k; stop1 = start1+p1-1; orderweeks = start1:stop1;

 start2 = stop1+2; 
 stop2 = start2+p2-1; 
 holdweeks = start2:stop2; 

 nstocks = nbrstocks(k);

% order R for the ordering weeks data1 = stockdata(orderweeks, 1:nstocks);

 R1 = ones(1,nstocks); 
for m = 1:length(orderweeks) 
 R1 = R1.*data1(m,:); 
end 
 R1 = R1-1;

% select for the winners and losers

 [B,idx] = sort(R1,'descend'); 
 ncandidates = round(nstocks*0.1); 
 idwinner(k,1:ncandidates) = stockid(idx(1:ncandidates)); 
 idloser(k,1:ncandidates) = stockid(idx(end-ncandidates+1:end));

% caculate the R for winners and losers in holding weeks

 data2winner = stockdata(holdweeks, idx(1:ncandidates)); 
 data2loser = stockdata(holdweeks, idx(end-ncandidates+1:end)); 
 R2w = ones(1,ncandidates); 
 R2l = ones(1,ncandidates);

for m = 1:length(holdweeks)

 R2w = R2w.*data2winner(m,:); 
 R2l = R2l.*data2loser(m,:);

end

 R2w = R2w-1; 
 R2l = R2l - 1; 
 Rwinner(k) = mean(R2w); 
 Rloser(k) = mean(R2l);

end

end end

[PaoloPa]

I've been trying this

data1 = stockdata(isfinite(stockdata(orderweeks, :)));

but I stillget bizarre results...like a 180x1 vector.... Any help is very much appreciated mate