data = readtable ('tevoidRead.xls'); % Importing data file
data = table2dataset (data);
newdata = []; % Creating an empty dataset to be populated with transformed data
for sentenceIndex = 1:256;
       subdata = data (data.sentence == sentenceIndex, :); % subsetting original data by sentence index
       ZstdevM = zscore (subdata.stdevM, 1, 1); % z-score transformation of stdevM
                                       % flag = 1 (denom = n); dim = 1 (columnwise)
       TstdevM = ZstdevM .* 10 + 50; % Transforming z-score to t-score
       ZstdevM = dataset (ZstdevM);
       TstdevM = dataset (TstdevM);
       
       ZvarcoM = zscore (subdata.varcoM, 1, 1);
       TvarcoM = ZvarcoM .* 10 + 50;
       ZvarcoM = dataset (ZvarcoM);
       TvarcoM = dataset (TvarcoM);

       ZrPVIm = zscore (subdata.rPVIm, 1, 1);
       TrPVIm = ZrPVIm .* 10 + 50;
       ZrPVIm = dataset (ZrPVIm);
       TrPVIm = dataset (TrPVIm);

       ZnPVIm = zscore (subdata.nPVIm, 1, 1);
       TnPVIm = ZnPVIm .* 10 + 50;
       ZnPVIm = dataset (ZnPVIm);
       TnPVIm = dataset (TnPVIm);

       ZstdevP = zscore (subdata.stdevP, 1, 1);
       TstdevP = ZstdevP .* 10 + 50;
       ZstdevP = dataset (ZstdevP);
       TstdevP = dataset (TstdevP);

       ZvarcoP = zscore (subdata.varcoP, 1, 1);
       TvarcoP = ZvarcoP .* 10 + 50;
       ZvarcoP = dataset (ZvarcoP);
       TvarcoP = dataset (TvarcoP);

       ZrPVIp = zscore (subdata.rPVIp, 1, 1);
       TrPVIp = ZrPVIp .* 10 + 50;
       ZrPVIp = dataset (ZrPVIp);
       TrPVIp = dataset (TrPVIp);

       ZnPVIp = zscore (subdata.nPVIp, 1, 1);
       TnPVIp = ZnPVIp .* 10 + 50;
       ZnPVIp = dataset (ZnPVIp);
       TnPVIp = dataset (TnPVIp);

       transDataZ = [ZstdevM ZvarcoM ZrPVIm ZnPVIm ZstdevP ZvarcoP ZrPVIp ZnPVIp];
       transDataT = [TstdevM TvarcoM TrPVIm TnPVIm TstdevP TvarcoP TrPVIp TnPVIp];

       subdata = [subdata transDataZ transDataT];
       newdata = [newdata; subdata];
end