What about using a struct to save data hierarchically. For example
M = [{"C1"; "C1"; "C2"; "C3"; "C3"; "C3"}, ...
{"S1"; "S2"; "S1"; "S1"; "S2"; "S3"}, ...
num2cell(rand(6,3))];
countries = unique([M{:,1}]);
M1 = splitapply(@(x) {x}, M(:,2:end), findgroups([M{:,1}]).');
temp = [num2cell(countries); cell(size(countries))];
S = struct(temp{:});
for i=1:numel(countries)
country_data = M1{i};
for j=1:size(country_data, 1)
S.(countries(i)).(country_data{j,1}) = country_data(j, 2:end);
end
end
C1, C2, and C3 are country names, and S1, S2, and S3 are names of states within a specific country.
Run it like this
>> S.C1.S1 % displays the data for country=C1 and state=S1
ans =
1×3 cell array
{[5.2238e-04]} {[0.8013]} {[0.7386]}
