How to normalize data which contain positive and negative numbers into 0 and 1? you can refer sample of my data below. I have tried but am getting an error which says data dimension must agree. Any suggestion, please. Thank you!

Datatraning = 100.*randn(300,1552)
minVal = min(Datatraning);
maxVal = max(Datatraning);
norm_data = (Datatraning - minVal) / ( maxVal - minVal )

    Datatraining=[-51.6266980068282   260.373726514691   -1040.96015167892   255   -52.6288579705138   95.7235349174854 
-49.8245562897936   298.367268515596   -900.490111536352   255   -49.9703056795758   108.101521100263 
-36.2057603415223   398.270463317273   -749.608432372270   255   -49.5514320195152   118.634907748186
-34.2981982381135   435.407482297911   -38.4773520065891   255   -39.5337029802548   176.756214679240]

Answer 1

[Walter Roberson]

minVal = min(Datatraning(:));
maxVal = max(Datatraning(:));

[Adnan Ibrahim]

It works fine. Thank you walter :);