Hi Mr Anzulis
since not yet sure the sampling is needed, let's start determining common elements
1.
Simplified version of your input data
pop1=randi([-10 10],5,1)
=
-6
-5
2
-1
-3
pop2=randi([-10 10],10,1)-1
=
6
1
0
8
-5
4
4
-4
0
-10
2.
Merged data
pop=[pop1;pop2]
=
-6
-5
2
-1
-3
6
1
0
8
-5
4
4
-4
0
-10
3.
what elements of pop1 are in pop, a their locations
[pop1_in_pop locs_in_pop locs_in_pop1]=intersect(pop,pop1)
pop1_in_pop =
-6
-5
-3
-1
2
locs_in_pop =
1
2
5
4
3
locs_in_pop1 =
1
2
5
4
3
checking indices match
pop(locs_in_pop)
=
-6
-5
-3
-1
2
pop1(locs_in_pop1)
=
-6
-5
-3
-1
2
Same for pop and pop2
4.
[pop2_in_pop locs_in_pop locs_in_pop2]=intersect(pop,pop2)
pop2_in_pop =
-10
-5
-4
0
1
4
6
8
locs_in_pop =
15
2
13
8
7
11
6
9
locs_in_pop2 =
10
5
8
3
2
6
1
4
Now you know exactly
- what elements of pop1 are in pop
- what elements of pop2 are in pop
- what elements of pop are in pop2
- what elements of pop are in pop2
And you also know all their respective indices.
5.
to randomly sample, you can use command randsample
length_sample=3
sample1=randsample([1:1:length(pop)],length_sample)
sample1 =
8 12 1
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thanks in advance
John BG
Best Answer