adding rows to array with order

data=[1.0452;1.0645;1.1027;1];
fixed_data=[1;1.0452];

for i=1:numel(fixed_data)
idx(i)=find(fixed_data(i)==data);
end

other_data=[1.064562;1.102656];

I need to merge fixed_data and other_data w.r.t idx as follows;

merged_data=[1.0452;1.064562;1.102656;1];

idx (4 1) determines 4th row of merged_data equals fixed_data(1) and first row of merged data equals fixed_data(2). Matrix dimensions are variable so I need to perform this as an automatic way for any situation.

[sermet]

idx determines the order of merged_data w.r.t. fixed_data. idx (4 1) determines 4th row of merged_data equals fixed_data(1) and first row of merged data equals fixed_data(2).

Answer 1

[Guillaume]

Note: this only works if all the elements of fixed_data are unique and only found once in data and if numel(fixed_data) + numel(other_data) == numel(data):

assert(numel(fixed_data) == numel(unique(fixed_data)), 'Duplicated values in fixed_data');  
assert(numel(fixed_data) + numel(other_data) == numel(data), 'Vector sizes do not match');
[infixed, location] = ismember(data, fixed_data);
assert(numel(nonzeros(location)) == numel(unique(nonzeros(location))), 'Fixed_data found multiple times in data');
merged_data = data;
merged_data(~infixed) = other_data

You can take the asserts out if you're sure that the preconditions are fulfilled.

Answer 2

[Azzi Abdelmalek]

data=[1.0452;1.0645;1.1027;1]
fixed_data=[1;1.0452]
other_data=[1.064562;1.102656]
%---------------------------------
merged_data=data
idx=ismember(data,fixed_data)
merged_data(idx)=fixed_data
merged_data(~idx)=other_data

[sermet]

Azzi merged_data is not identical to the above merged_data I gave in the example. You can try to see the difference

[Azzi Abdelmalek]

Use

format long
merged_data

you will see the difference

[sermet]

Azzi, true merged_data is

merged_data=[1.0452;1.064562;1.102656;1];
your code produces

merged_data=[1;1.064562;1.102656;1.0452]