title: How do I save double for loop whlist using a function? MATLAB
body: <p>I have found a rolling window function online, </p>
  
  <pre><code>function output = createRollingWindow(vector, n)
  % CREATEROLLINGWINDOW returns successive overlapping windows onto a vector
  %   OUTPUT = CREATEROLLINGWINDOW(VECTOR, N) takes a numerical vector VECTOR
  %   and a positive integer scalar N. The result OUTPUT is an MxN matrix,
  %   where M = length(VECTOR)-N+1. The I'th row of OUTPUT contains
  %   VECTOR(I:I+N-1).
  l = length(vector);
  m = l - n + 1;
  output = vector(hankel(1:m, m:l));
  end
  </code></pre>
  
  <p>From this function, I am trying to include two for loops into my code,</p>
  
  <pre><code>%Out of sample attempt
  clear;
  clc;
  kk=1;%to help with recording
  for q = 1:3;
      for w = 1:6;
      data(:,1) = [ 0.824178794   0.320861779 0.544464994 0.443415606 0.881589471 0.126930695 0.10758006  0.64661864  0.186043513 0.113938139 0.397832754 0.245128803 0.601561899 0.702804161 0.868598731 0.896887742 0.315118703 0.652750644 0.442618269 0.414916628 0.091210459 0.778660087 0.477795261 0.170882616 0.358117319 0.952619704 0.299335988 0.672694952 0.659587974 0.116092814 0.354043427 0.558700934 0.383720179 0.497181625 0.220384304 0.918564103 0.83692923  0.091426279 0.748032692 0.632857627 0.711075772 0.116125763 0.597741796 0.514174441 0.615460425 0.645151999 0.226984236 0.12237818  0.699570062 0.114368326 0.846111165 0.695035952 0.23948643  0.599922736 0.306768402 0.067744491 0.783072298 0.087849296 0.85992126  0.242326707 0.707444842 0.708394112 0.648583229 0.881334696 0.822010696 0.482946533 0.973389017 0.99451342  0.396172299 0.885790819 0.6547881   0.435092468 0.982999085 0.082579592 0.282836873 0.281771702 0.659658085 0.628989875 0.653124888 0.158068163 0.72719761  0.204252699 0.417000233 0.883864326 0.54291388  0.923703895 0.092945717 0.635086879 0.849531721 0.235541373 0.37923794  0.104290602 0.012590039 0.487503652 0.199704805 0.594050564 0.9801534   0.978849296 0.187787141 0.964071808 0.139609956 0.814162483 0.30894139  0.812033217 0.142302294 0.055008992 0.400725294 0.619958465 0.228309428 0.606736617 0.065623529 0.987751722 0.88678899  0.693903646 0.89933127  0.4640739   0.96584424  0.644626537 0.701417614 0.586577243 0.984983184 0.141416031 0.348001281 0.646667949 0.696233019 0.40711813];
      data(:,2) = [0.601312801    0.567678926 0.010228683 0.819126718 0.374199446 0.752227144 0.692009283 0.160297793 0.41729925  0.004383375 0.391805283 0.727950395 0.042412421 0.702262491 0.46841405  0.335453208 0.846544411 0.022669174 0.93789211  0.628081132 0.922873091 0.794009152 0.398190721 0.146860091 0.276906047 0.040990629 0.885172725 0.995618555 0.081377375 0.673312607 0.507802794 0.507211426 0.864098858 0.618331858 0.497025625 0.199872624 0.680890254 0.733198925 0.073351847 0.535303576 0.037211143 0.256505612 0.076706486 0.209499708 0.20674952  0.591840692 0.816632191 0.870881906 0.795427041 0.206113399 0.383909285 0.917927405 0.868804777 0.839985866 0.346596048 0.750367231 0.960418228 0.001626573 0.613545782 0.343902168 0.011611464 0.516205321 0.21196681  0.885751081 0.415271144 0.621481833 0.791477412 0.894585662 0.79669597  0.056652307 0.914691669 0.567923067 0.086743503 0.384397699 0.795918739 0.339847836 0.96086507  0.218898901 0.593647285 0.861695814 0.210231592 0.899967064 0.897346931 0.330684285 0.110565195 0.878917027 0.32734661  0.997426716 0.766167074 0.993337315 0.454428456 0.835946458 0.69975433  0.983277113 0.868033073 0.551361664 0.565948465 0.383959861 0.915339748 0.165000585 0.598434963 0.469557418 0.997527846 0.731639315 0.074477013 0.829399281 0.72211419  0.110424513 0.942230634 0.031584519 0.844465109 0.117074378 0.093737687 0.609404299 0.807640005 0.048202653 0.782269274 0.659084731 0.488254063 0.032889558 0.947366815 0.787888171 0.456713783 0.155336211 0.93715265  0.515620832];
      data(:,3) = [0.601312801    0.567678926 0.010228683 0.819126718 0.374199446 0.752227144 0.692009283 0.160297793 0.41729925  0.004383375 0.391805283 0.727950395 0.042412421 0.702262491 0.46841405  0.335453208 0.846544411 0.022669174 0.93789211  0.628081132 0.922873091 0.794009152 0.398190721 0.146860091 0.276906047 0.040990629 0.885172725 0.995618555 0.081377375 0.673312607 0.507802794 0.507211426 0.864098858 0.618331858 0.497025625 0.199872624 0.680890254 0.733198925 0.073351847 0.535303576 0.037211143 0.256505612 0.076706486 0.209499708 0.20674952  0.591840692 0.816632191 0.870881906 0.795427041 0.206113399 0.383909285 0.917927405 0.868804777 0.839985866 0.346596048 0.750367231 0.960418228 0.001626573 0.613545782 0.343902168 0.011611464 0.516205321 0.21196681  0.885751081 0.415271144 0.621481833 0.791477412 0.894585662 0.79669597  0.056652307 0.914691669 0.567923067 0.086743503 0.384397699 0.795918739 0.339847836 0.96086507  0.218898901 0.593647285 0.861695814 0.210231592 0.899967064 0.897346931 0.330684285 0.110565195 0.878917027 0.32734661  0.997426716 0.766167074 0.993337315 0.454428456 0.835946458 0.69975433  0.983277113 0.868033073 0.551361664 0.565948465 0.383959861 0.915339748 0.165000585 0.598434963 0.469557418 0.997527846 0.731639315 0.074477013 0.829399281 0.72211419  0.110424513 0.942230634 0.031584519 0.844465109 0.117074378 0.093737687 0.609404299 0.807640005 0.048202653 0.782269274 0.659084731 0.488254063 0.032889558 0.947366815 0.787888171 0.456713783 0.155336211 0.93715265  0.515620832];
  %This is what we are trying to forecast
  createRollingWindow(data(:,q), w);%This uses the function saved as createRollingWindow
  sum(ans,2); %This sums the rows in the matrix, which is what I need
  %YF(kk,:)=(ans);
  %kk=kk+1;
  
      end
  end
  </code></pre>
  
  <p>What I ideally need is a vector which includes the results from the for loops, </p>
  
  <p>I have attempted to call this vector YF in the above code, </p>
  
  <p>My question is...</p>
  
  <p>How can i store the output from both loops in a matrix called  YF, </p>
  
  <p>I.e. for each rolling window, 1:6, and for each data set, 1:3.</p>
  
  <p>Thanks in advance!</p>
  
  <p>UPDATED CODE FROM TRYING SUGGESTIONS IN COMMENT, STILL NEEDS THE FIRST FUNCTION </p>
  
  <pre><code>%Out of sample attempt
  clear;
  clc;
  %kk=1;%to help with recording
  YF = [];
  for q = 1:3;
      for w = 1:6;
      data(:,1) = [ 0.824178794   0.320861779 0.544464994 0.443415606 0.881589471 0.126930695 0.10758006  0.64661864  0.186043513 0.113938139 0.397832754 0.245128803 0.601561899 0.702804161 0.868598731 0.896887742 0.315118703 0.652750644 0.442618269 0.414916628 0.091210459 0.778660087 0.477795261 0.170882616 0.358117319 0.952619704 0.299335988 0.672694952 0.659587974 0.116092814 0.354043427 0.558700934 0.383720179 0.497181625 0.220384304 0.918564103 0.83692923  0.091426279 0.748032692 0.632857627 0.711075772 0.116125763 0.597741796 0.514174441 0.615460425 0.645151999 0.226984236 0.12237818  0.699570062 0.114368326 0.846111165 0.695035952 0.23948643  0.599922736 0.306768402 0.067744491 0.783072298 0.087849296 0.85992126  0.242326707 0.707444842 0.708394112 0.648583229 0.881334696 0.822010696 0.482946533 0.973389017 0.99451342  0.396172299 0.885790819 0.6547881   0.435092468 0.982999085 0.082579592 0.282836873 0.281771702 0.659658085 0.628989875 0.653124888 0.158068163 0.72719761  0.204252699 0.417000233 0.883864326 0.54291388  0.923703895 0.092945717 0.635086879 0.849531721 0.235541373 0.37923794  0.104290602 0.012590039 0.487503652 0.199704805 0.594050564 0.9801534   0.978849296 0.187787141 0.964071808 0.139609956 0.814162483 0.30894139  0.812033217 0.142302294 0.055008992 0.400725294 0.619958465 0.228309428 0.606736617 0.065623529 0.987751722 0.88678899  0.693903646 0.89933127  0.4640739   0.96584424  0.644626537 0.701417614 0.586577243 0.984983184 0.141416031 0.348001281 0.646667949 0.696233019 0.40711813];
      data(:,2) = [0.601312801    0.567678926 0.010228683 0.819126718 0.374199446 0.752227144 0.692009283 0.160297793 0.41729925  0.004383375 0.391805283 0.727950395 0.042412421 0.702262491 0.46841405  0.335453208 0.846544411 0.022669174 0.93789211  0.628081132 0.922873091 0.794009152 0.398190721 0.146860091 0.276906047 0.040990629 0.885172725 0.995618555 0.081377375 0.673312607 0.507802794 0.507211426 0.864098858 0.618331858 0.497025625 0.199872624 0.680890254 0.733198925 0.073351847 0.535303576 0.037211143 0.256505612 0.076706486 0.209499708 0.20674952  0.591840692 0.816632191 0.870881906 0.795427041 0.206113399 0.383909285 0.917927405 0.868804777 0.839985866 0.346596048 0.750367231 0.960418228 0.001626573 0.613545782 0.343902168 0.011611464 0.516205321 0.21196681  0.885751081 0.415271144 0.621481833 0.791477412 0.894585662 0.79669597  0.056652307 0.914691669 0.567923067 0.086743503 0.384397699 0.795918739 0.339847836 0.96086507  0.218898901 0.593647285 0.861695814 0.210231592 0.899967064 0.897346931 0.330684285 0.110565195 0.878917027 0.32734661  0.997426716 0.766167074 0.993337315 0.454428456 0.835946458 0.69975433  0.983277113 0.868033073 0.551361664 0.565948465 0.383959861 0.915339748 0.165000585 0.598434963 0.469557418 0.997527846 0.731639315 0.074477013 0.829399281 0.72211419  0.110424513 0.942230634 0.031584519 0.844465109 0.117074378 0.093737687 0.609404299 0.807640005 0.048202653 0.782269274 0.659084731 0.488254063 0.032889558 0.947366815 0.787888171 0.456713783 0.155336211 0.93715265  0.515620832];
      data(:,3) = [0.601312801    0.567678926 0.010228683 0.819126718 0.374199446 0.752227144 0.692009283 0.160297793 0.41729925  0.004383375 0.391805283 0.727950395 0.042412421 0.702262491 0.46841405  0.335453208 0.846544411 0.022669174 0.93789211  0.628081132 0.922873091 0.794009152 0.398190721 0.146860091 0.276906047 0.040990629 0.885172725 0.995618555 0.081377375 0.673312607 0.507802794 0.507211426 0.864098858 0.618331858 0.497025625 0.199872624 0.680890254 0.733198925 0.073351847 0.535303576 0.037211143 0.256505612 0.076706486 0.209499708 0.20674952  0.591840692 0.816632191 0.870881906 0.795427041 0.206113399 0.383909285 0.917927405 0.868804777 0.839985866 0.346596048 0.750367231 0.960418228 0.001626573 0.613545782 0.343902168 0.011611464 0.516205321 0.21196681  0.885751081 0.415271144 0.621481833 0.791477412 0.894585662 0.79669597  0.056652307 0.914691669 0.567923067 0.086743503 0.384397699 0.795918739 0.339847836 0.96086507  0.218898901 0.593647285 0.861695814 0.210231592 0.899967064 0.897346931 0.330684285 0.110565195 0.878917027 0.32734661  0.997426716 0.766167074 0.993337315 0.454428456 0.835946458 0.69975433  0.983277113 0.868033073 0.551361664 0.565948465 0.383959861 0.915339748 0.165000585 0.598434963 0.469557418 0.997527846 0.731639315 0.074477013 0.829399281 0.72211419  0.110424513 0.942230634 0.031584519 0.844465109 0.117074378 0.093737687 0.609404299 0.807640005 0.048202653 0.782269274 0.659084731 0.488254063 0.032889558 0.947366815 0.787888171 0.456713783 0.155336211 0.93715265  0.515620832];
  %This is what we are trying to forecast
  createRollingWindow(data(:,q), w);%This uses the function saved as createRollingWindow
  sum(ans,2); %This sums the rows in the matrix, which is what I need
  YF = [YF, ans]
  %kk=kk+1;
  
      end
  end
  </code></pre>