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Maximum ignoring NaNs


m = nanmax(X)
[m,ndx] = nanmax(X)
m = nanmax(X,Y)
[m,ndx] = nanmax(X,[],DIM)



Financial times series object.


Financial times series object or scalar.


Dimension of X.


nanmax for financial times series objects is based on the Statistics and Machine Learning Toolbox™ function nanmax. See nanmax in the Statistics and Machine Learning Toolbox documentation.

m = nanmax(X) returns the maximum of a financial time series object X with NaNs treated as missing. m is the largest non-NaN element in X.

[m,ndx] = nanmax(X) returns the indices of the maximum values in X. If the values along the first nonsingleton dimension contain multiple maximal elements, the index of the first one is returned.

m = nanmax(X,Y) returns an array the same size as X and Y with the largest elements taken from X or Y. Only Y can be a scalar double.

[m,ndx] = nanmax(X,[],DIM) operates along the dimension DIM.


To compute nanmax for the following dates:

dates = {'01-Jan-2007';'02-Jan-2007';'03-Jan-2007'};
f = fints(dates, magic(3));
f.series1(1) = nan;
f.series2(3) = nan;
f.series3(2) = nan;

[nmax, maxidx] = nanmax(f)
nmax =
     4     5     6

maxidx =
     3     2     1

Related Examples

See Also

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Introduced before R2006a

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