indicating real value or interpolated (estimated) values after interpolation by comparing with original data

Hi, I have data that contains one columns for time and some columns for values of some variables the same as following (this is a part of my data):

      A=[ ‘29/07/2014 08:00:00.000’  152 28 2; 
          ‘29/07/2014 08:02:01.000’  100 20 8; 
          ‘29/07/2014 08:07:00.000’  201 45 7; 
          ‘29/07/2014 08:08:03.000’  149 23 6
          ‘29/07/2014 08:10:00.000’  169 21 3]

After using interpolation (griddedInterpolant), I have calculated the value of each variable at desired time the same as following:

      F=[‘29/07/2014 08:00:00.000’ X1 Y1 Z1; 
         ‘29/07/2014 08:05:00.000’ X2 Y2 Z2; 
         ‘29/07/2014 08:10:00.000’ X3 Y3 Z3];

I know that the values (X1 Y1 Z1) and (X3 Y3 Z3) are equal to the real values in matrix A but (X2 Y2 Z2) are estimated or resulted from interpolation. I want to add a column after column related to time in order to indicate which data is real and which data is estimated (interpolated), for example the same as below:

      F=[‘29/07/2014 08:00:00.000’ ‘real’ X1 Y1 Z1; 
         ‘29/07/2014 08:05:00.000’ ‘interpolated’ X2 Y2 Z2; 
         ‘29/07/2014 08:10:00.000’ ‘real’ X3 Y3 Z3];

Would you please help me how can I do this?

Answer 1

[Image Analyst]

I'd try experimenting with ismember() to see if F{:, 1} is within A{:,1}. Then if the first columns match, then see if the x, y, and z values are reasonably close to each other.