MATLAB: Write vectors of different size in text file

wirte to text different dimensions

Hello everybody,
I would like to write some data to a text-file. Unfortunately the dimensions of the data are not the same, so I get the error:
Error using horzcat
Dimensions of matrices being concatenated are not consistent.
     Filename_txt = 'Dummy.txt'
      data = [Angle Velocity Distance Acceleration]';
      fidwrite = fopen(Filename_txt, 'wb');
      fprintf(fidwrite, '%s\t %s\t %s\t %s\n', 'Angle[deg]','Velocity[mm/s]','Distance [mm]', 'Acceleration [mm/s^2]');
      status = fprintf(fidwrite, '%4.5f\t %4.5f\t %4f.5\t %4.5f\n', data);
      fclose(fidwrite);
      disp (['txt-File ' Filename_txt ' created']);
Is it possible to write the data into one text-file even though they differ in their dimensions?
Thank you
Christian

Best Answer

    data = [Angle Velocity Distance Acceleration]';
...
where not all vectors are of same length.
Doesn't seem to make much sense if the missing values of the shorter observations are scattered, so simply augment the shorter with NaN or some other indicator value based on length of longest before the concatenation operation.
Or, of course, while a little more work, you could loop through for 1:max(lengths) and write row by row testing for whether there is value for each variable and using a count-specific fprintf argument list and a fill string for the missing column(s). Obviously, the first solution is simpler.
Of course, whether the result makes any sense or not is another issue... :)
ADDENDUM
OK, the example given would have to be a cell array to be concatenated and fprintf isn't able to handle cell arrays as arrays any way. You will have to make sizes commensurate with missing value indicators if you insist on the concatenation route.
If all were numeric as would be presumed from original variables names, then you could have two operations; concatenate the subsections of same size and fprintf them, then fprintf the subsection of longer elements as a second array.
But, for the mixed data you'll have to loop irregardless unless you were to import to a table (again will need missing value indicators, though). Then writetable might be able to deal with it for you although you'd have to convert the numerics to string inside the table methinks to be able to get the blank rows; missing values as NaN for numbers would still show up.
If were all numeric then something like
   nR=[size(Angle,1) size(Velocity,1) size(Distance,1) size(Acceleration,1)];
   dR=max(nR)-nR;  
   data=[Angle;nan(dR(1),1) Velocity;nan(dR(1),1) Distance;nan(dR(1),1) Acceleration;nan(dR(1),1)];
would fill the shorter columns with NaN to be able to concatenate. Of course, then the output would contain NaN which is probably not what want.
For the second example, it takes some more effort. If the four variables are cellstrings for the cities and numeric for the populations, then the following script is crude outline--
N=2;                                       % repetition count for the formatting substring
fmt=[repmat('% 12s % 8d ',1,N) '\n'];      % build the appropriate format string
N1=min(length(Cities_Eur),length(Cities_US)); % shorter loop upper limit
for i=1:N1
  fprintf(fmt,char(Cities_Eur(i)),Pop_Eur(i),char(Cities_US(i)),Pop_USA(i))
end
N=1; fmt=[repmat('% 12s % 8d ',1,N) '\n'];  % update format string
for i=N1+1:length(Cities_Eur)   % complete the output over longer arrays
  fprintf(fmt,char(Cities_Eur(i)),Pop_Eur(i))
end
This yields
       Paris  3000000     New York  5000000 
      Berlin  2500000  Los Angeles  4000000 
      London  6000000
Adding the header is another line first, of course.
Specialized output requires specialized coding for it, unfortunately...
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