How to remove NaN value from front part (first column) of raw matrices.

I have multiple files that contain row matrices. Some of the row metrics starts with number and some starts with missing value (NaN).

What I need is the row matrices to start with a number (the number have to be the one which comes after removing the all the NaN values that preceding it)

For instance x = [NaN NaN 89 87 45 90 NaN 100 52 Nan]

The returned x_new has to be x = [ 89 87 45 90 NaN 100 52 NaN]. NaN in the middle or end of the row remains as it was.

In addition the algorithm has to skip the file that contains row data which begins with number. I have attached the files

Thank you for all our contribution in advance

Answer 1

[Jonas]

can't check your files at the moment, but it should be something like that:

for fileNr=1:6
   load(['S' num2str(fileNr)],'x')
   if ~isnan(x(1))
      continue;
   else
      x(1)=[]; % first NaN removal
   end
   while isnan(x(1)) % if there are more NaN entries at the beginning
      x(1)=[];
   end
   % do stuff with your clean vector
end

[Yared Daniel]

Thank you so much, It solved my problem perefectly