Read NLES demographic data in Matlab

read_nles.m

fid = fopen('DemographicNGrouping_for_NLES_Data_CT.csv');
C = textscan(fid, '%s%d%s%s%s%s%d%d%d%d%d%s%d%d%d','Delimiter',',','CollectOutput', 1);
% reading laterality as a string instead of binary integers.
ID = C{1};
Age = int32(C{2});
Sex = C{3}(:,1); Sex(strcmp(Sex, '1')) = {'F'}; Sex(strcmp(Sex, '0')) = {'M'};
Left = C{3}(:, 2); Right = C{3}(:, 3); Bilateral = C{3}(:, 4);
group = Left;
group(strcmp(group, '1')) = {'LTLE'}; group(strcmp(group, '0')) = {'RTLE'};
% encode binary numbers '0' and '1' in Laterality as RTLE and LTLE.
Pre_Central = C{4}(:, 1);
Frontal = C{4}(:, 2);
Fronto_Central = C{4}(:, 3);
Post_Central = C{4}(:, 4);
Centro_Parietal = C{4}(:, 5);
Path = C{5};    
Duration = double(C{6}(:, 1));
ISI_duration = double(C{6}(:, 2));
operation=double(C{6}(:, 3));
fclose(fid);

% write relevant fields to a structure - NLES
nles = [];
nles.id = ID;
nles.age = int32(Age);
nles.sex = Sex;
nles.group = Group;

% write relevant fields to a structure - controls
ctls = [];
ctls.id = id;
ctls.age = int32(age);
ctls.sex = sex;
ctls.group = group;

% vertically concatenate the 2 groups, nles and ctls
myfields = fieldnames(nles);
clinical = [];
size(myfields)
length(myfields)
for i=1:length(myfields)
clinical.(myfields{i}) = [ctls.(myfields{i}); nles.(myfields{i})];
end

% write the structure as a comma delimited file.
struct2csv(clinical, 'clinical.csv')