How to save a structure as .mat?

I need to extract some data from .CSV files that resides in their own directory. This directory has 4 folders with about 200 sub folders each. Within these sub-folders there are anywhere from 2-10 .csv files. I got my script to scan through these folders and extract information that I need from them, but now I need to save my PIN array as a .mat file, which is not too difficult. The hard part that I can't figure out is how to save the .mat files with the same name as the .csv files and in sub-folders with the same name as they were accessed from, but in a different directory. My code is attached below.

if true
 projectdir = 'C:\Users\it58528\Documents';    %Start here. or name an absolute directory
folderinfo = dir(projectdir);
folderinfo = folderinfo([folderinfo.isdir]);  %select only the directories
folderinfo = folderinfo(~ismember({folderinfo.name}, {'.', '..'})); 
for folderidx = 1 : length(folderinfo)
thisfolder = fullfile(projectdir, folderinfo(folderidx).name);
subfolderinfo = dir(thisfolder);
subfolderinfo = subfolderinfo([subfolderinfo.isdir]);  %select only the directories
subfolderinfo = subfolderinfo(~ismember({subfolderinfo.name}, {'.', '..'}));   %remove directories . and ..

for subfolderidx = 1 : length(subfolderinfo)
  thissubfolder = fullfile(thisfolder, subfolderinfo(subfolderidx).name);
  fileinfo = dir( fullfile(thissubfolder, '*.csv') );

    for fileidx = 1 : length(fileinfo)
        thisfile = fullfile(thissubfolder, fileinfo(fileidx).name);
        [filepath, basename, ext] = fileparts(thisfile);
        data = csvread(thisfile,5,2);

        PIN(fileidx).PIN = fileinfo(fileidx).name(1:17);
        PIN(fileidx).loadprofile = data(1:15,:);
        PIN(fileidx).hours = sum(sum(PIN(fileidx).loadprofile,1));
        PIN(fileidx).loadprofilepercent = PIN(fileidx).loadprofile./PIN(fileidx).hours;
        PIN(fileidx).loadpercent = data(:,2);
        PIN(fileidx).RPM = data(16,:);

        loadprofilecolumn = find(PIN(fileidx).RPM>Resonance);
        xSpeed = PIN(fileidx).RPM(loadprofilecolumn(1)-1);

        PIN(fileidx).TimeatLevel = Test_Goal*PIN(fileidx).loadprofilepercent(:,loadprofilecolumn(1)-1);
        PIN(fileidx).TestTime = PIN(fileidx).TimeatLevel./((TestLevel./Modeled_Accel).^m);

        PIN(fileidx).TotalTestTime = sum(PIN(fileidx).TestTime);

        PINs(fileidx,1:17) = PIN(fileidx).PIN;
        FieldHours(fileidx,1) = PIN(fileidx).hours;
        TestHours(fileidx,1) = PIN(fileidx).TotalTestTime;

    end   %files within subfolder

end     %subfolders within folder

[Rik]

Unfortunately for you Google cache often contains the originally posted question. I used it to revert your edit. Please don't edit away content. Why are you on a mass-deletion campaign? The only thing you're achieving is to annoy everybody who would help you with a future question.

[Image Analyst]

Seomtimes I check the prior posts of people. If I see lots of flags for deletions, then I don't answer that person.

Answer 1

[Thorsten]

for subfolderidx = 1 : length(subfolderinfo)
  subfolderi  = subfolderinfo(subfolderidx).name
  thissubfolder = fullfile(thisfolder, subfolderi);
  fileinfo = dir( fullfile(thissubfolder, '*.csv') );

    % create the new dir
    newsubfolder = fullfile(newdir, subfolderi);
    mkdir(newsubfolder)

     for fileidx = 1 : length(fileinfo)
          filenamei = fileinfo(fileidx).name;
          thisfile = fullfile(thissubfolder, filename);
          [filepath, basename, ext] = fileparts(thisfile);
          data = csvread(thisfile,5,2);

         newfilename = fullfile(newsubfolder, filenamei);
         % save data to newfilename
   end

[Ibro Tutic]

Cool thanks.