>> X = [ 2 1;
5 0;
3 0;
4 2];
>> [Xnew, PS] = mapstd(X);
However, when I try standardizing a single new sample data "Xtest", it produces a 4x2 array instead of 1x2 array:
>> Xtest = [2 3];
>> XtestNew = mapstd('apply', Xtest, PS)
XtestNew =
0.7071 2.1213
-0.1414 0.1414
0.2357 0.7071
-0.7071 0
Prashant Kumar answered . 2024-05-19 15:26:03
X =
[ sample1
sample2
sample3
sample4 ]
In order to use "mapstd" function to normalize each of your 2 predictor variables, you would need to store your data in the following format (2 row x 4 columns):
X = [ sample1 sample2 sample3 sample4]
>> X = X'; % store sample column by column instead
>> [Xnew, PS] = mapstd(X);
>> XtestNew = mapstd('apply', Xtest, PS);
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