B=nanstd(X,0,'all');
when using the above statement in Matlab R2019a there are no problems, however when using it on another computer with R2017a, i get the error:
Error using size
Dimension argument must be a positive integer scalar within indexing range.
Error in var (line 109)
n = size(x,dim);
Error in nanvar (line 32)
y = var(varargin{:},'omitnan');
Error in nanstd (line 28)
y = sqrt(nanvar(varargin{:}));

 Akzeptierte Antwort

Adam Danz
Adam Danz am 17 Dez. 2019
Bearbeitet: Adam Danz am 17 Dez. 2019

0 Stimmen

If you're computing the std over all elements of X, this works in any release.
B = std(X(~isnan(X)));

Weitere Antworten (1)

Steven Lord
Steven Lord am 17 Dez. 2019

0 Stimmen

The ability to specify 'all' as a dimension in the var function (which the nanstd function calls) was introduced in release R2018b.

2 Kommentare

Adam Evenoff
Adam Evenoff am 17 Dez. 2019
Is there any other tool/way on R2017a to calculate standard deviation while omitting NaN values?
The 'omitnan' option was introduced in release R2015a.
M = magic(5);
M(3, 3) = NaN;
std(M(:), 'omitnan')

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