VRMS is the jVarfun module of jLab.

 VRMS  Root-mean-square of non-NaN elements along a specified dimension.
    Y=VRMS(X,DIM) takes the root-mean-square of all non-NaN elements of X 
    along dimension DIM. 
    That is, it is equivalent to Y=SQRT(VMEAN(SQUARED(X),DIM));
    [Y,NUM]=VRMS(X,DIM) also outputs the number of non-NaN data points 
    NUM, which has the same dimension as X.              
    [Y1,Y2,...YN]=VRMS(X1,X2,...XN,DIM) or also works, where all the XN
    are the same size.  
    VRMS(X1,X2,...XN,DIM);  with no output arguments overwrites the 
    original input variables.
    Weighted means
    Y=VRMS(X,DIM,W) forms the weighted root-mean-square of X along 
    dimension DIM using weights W, an array  of the same size as X. 
    This is equivalent to Y=SQRT(VMEAN(SQUARED(X),DIM,W));
    In this case [Y,NUM]=VRMS(X,DIM,W) returns total weight used in 
    forming the mean at each point, rather than the number of data points.
    [Y1,Y2,...YN]=VRMS(X1,X2,...XN,DIM,W) also works. 
    This is part of JLAB --- type 'help jlab' for more information
    (C) 2018 J.M. Lilly --- type 'help jlab_license' for details

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