Seemingly a bug in lassoglm?

Hello all,

Using the lassoglm example from the documentation lasooglm doc, we are receiving an error -

rng('default') % for reproducibility
X = randn(100,20);
mu = exp(X(:,[5 10 15])*[.4;.2;.3] + 1);
y = poissrnd(mu);
[B FitInfo] = lassoglm(X,y,'poisson','CV',10);

   Error using zscore
   Too many input arguments.

Error in lassoglm>computeLambdaMax (line 1509)
        [X0,~,~] = zscore(X,1);

Error in lassoglm (line 246)
[lambdaMax, nullDev, nullIntercept] =
computeLambdaMax(X, Y, pwts, alpha, standardize, ...

It looks as if the internal call to zscore is using an improper number of arguments

the call

zscore(X,1)

should be

zscore(X, flag, 1)

if I set the 'Standardize' to false, it runs fine

[B FitInfo] = lassoglm(X,y,'poisson','CV',10,'Standardize',false);

I am using student R2013a and this error occurs the same way on all three examples

Thanks if anyone does a sanity check and confirms -

Answer 1

[Sean de Wolski]

which -all zscore

More than likely you have your own zscore function shadowing the builtin. Please rename this one and the above should work.

Answer 2

[Timothy Scharf]

thank you - I knew it wasn't MATLAB's fault... thanks!