CELLSTD is the jCell module of jLab.

 CELLSTD  Standard deviation of each element a cell array.
 
    SIG=CELLSTD(X) where X is a cell array of N arrays,
 
        X{1}=X1, X{2}=X2,..., X{N}=XN
  
    returns the N x 1 array of standard deviation values SIG such that
   
       SIG(1)=STD(X1(:)),  SIG(2)=STD(X2(:)),...,  SIG(N)=STD(XN(:)).
 
    In taking the standard deviation, non-finite values are ignored, as in
    VSTD. The output SIG is a column vector of the same length as X.  
 
    [SIG1,SIG2,...,SIGP]=CELLSTD(X1,X2,...,XP) also works for P different 
    input arguments. 
 
    CELLSTD(X1,X2,...XP);  with no output arguments overwrites the 
    original input variables.
    __________________________________________________________________   
 
    Parallelization
 
    CELLSTD(...,'parallel') parallelizes the computation using a PARFOR 
    loop.  This requires that Matlab's Parallel Computing Toolbox be 
    installed, and is useful for very large datasets.
    __________________________________________________________________   
 
    See also JCELL, VTOOLS.
 
    Usage: sig=cellstd(x);
           [sig1,sig2,sig3]=cellstd(x1,x2,x3);
           cellstd(x1,x2,x3);
    __________________________________________________________________
    This is part of JLAB --- type 'help jlab' for more information
    (C) 2015 J.M. Lilly --- type 'help jlab_license' for details

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