Working with structures and combining them

I have a bunch of data that was saved in individual data structures. I would like to combine them so I can work the dataset as whole. See example below:

data1 =

           lambda: [1024x1 double]
             data: [1024x8 double]
              err: [1024x8 double]
               fl: [1024x8 double]
            flerr: [1024x8 double]
               Ns: 1
               Nd: 8
               Nw: 1024
                t: [0.0500 0.0500 0.0500]
                P: 0
              z_s: 0
             r_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
            fr_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
       data_files: {[1x144 char]}
    data_file_map: [3x2 double]
      corrections: {{6x2 cell}}
           sample: {'D2_postPDT_abdo. wall_ref_1(1)'}
         n_frames: 4

data2 =

           lambda: [1024x1 double]
             data: [1024x8 double]
              err: [1024x8 double]
               fl: [1024x8 double]
            flerr: [1024x8 double]
               Ns: 1
               Nd: 8
               Nw: 1024
                t: [0.0500 0.0500 0.0500]
                P: 0
              z_s: 0
             r_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
            fr_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
       data_files: {[1x139 char]}
    data_file_map: [3x2 double]
      corrections: {{6x2 cell}}
           sample: {'D2_postPDT_Aorta_ref_1(1)'}
         n_frames: 4

I want to create a new data structure that would combine these two and would look something like this:

totdata =

           lambda: [1024x1 double]
             data: [1024x9x2 double]
              err: [1024x9x2 double]
               fl: [1024x9x2 double]
            flerr: [1024x9x2 double]
               Ns: 2
               Nd: 9
               Nw: 1024
                t: [1x4 double]
                P: [2x1 double]
              z_s: [2x1 double]
             r_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
            fr_sd: [0.1200 0.1800 0.2400 0.3000 0.4000 0.5000 0.6000 0.8000]
       data_files: {2x1 cell}
    data_file_map: [4x2 double]
      corrections: {1x2 cell}
           sample: {2x1 cell}
         n_frames: [4 4]

I have about 100 of such data files, any suggestions on how to handle this?

Many many thanks in advance!

[Azzi Abdelmalek]

You have

data: [1024x8 double]  % from first variable
data: [1024x8 double] % from second variable

How did you get ?

   data: [1024x9x2 double]

[Azzi Abdelmalek]

You have to explain how data will be stored in the new struct variable

[Jurgen]

Sounds like you want to make a class with special methods, e.g. datanew = data1 + data2 where the '+' is overloaded.

[Julia Sandell]

First off :

data: [1024x8 double] % from first variable data: [1024x8 double] % from second variable How did you get ?

   data: [1024x9x2 double]

I got this by the following: tdata=cat(3,data1.data,data2.data);

But I really don't have to do this for each of the 100 data structures I have that each have 18 fields. What I want is to combine in the data.

I want to create a new data structure that has in say the 'data' field, the 'fl' field not just one sample, but all samples. How would I do this? The suggested solution does not give this.

Answer 1

[Azzi Abdelmalek]

Let us guess, Maybe you want something like this

data1=struct('data',num2cell(1:10))
data2=struct('data',num2cell(11:20))
totdata=[data1 data2]

%or

totdata=[data1 ;data2]