train using mapstd problem.

i'm going to train an 15 image to [1 1 1 1 1 1 1 1 1 1 0 0 0 0 0]

my output is one layer but somehow the function mapstd isn't working, do you have any advice for my problem?

clc;
global latih_stdp;
global nettrain;

for i =1:15

img = imread(strcat('E:Skripsi\crop2\image',int2str(i),'.bmp'));
im = rgb2gray(img);
 im=reshape(im,[],1);
    latih(:,i) = im;

end
T=[1 1 1 1 1 1 1 1 1 1 0 0 0 0 0];
[latih_n,latih_stdp] = mapstd(latih);
net = newff(minmax(latih_n), [3 1], {'logsig' 'purelin'});
net.trainParam.epochs = 1000;
net.trainParam.goal = 1e-20;
net.trainParam.lr = 0.1;
net.trainParam.mc = 0.9;
nettrain = train(net,latih_n,T);

here is the error :

Error using var (line 59)
First argument must be single or double.

Error in std (line 32)
y = sqrt(var(varargin{:}));

Error in mapstd.create (line 15)
  settings.xstd(i) = std(xi);

Error in mapstd (line 48)
[y,settings] = mapstd.create(x,param);

Error in b (line 17)
[latih_n,latih_stdp] = mapstd(latih); // why this code can't work?

thanks for kindly answer