Moving mean/std based on number of NaN

2 次查看(过去 30 天)
Hello,
Is there a way to compute movstd but replace with NaN if the window includes 2 or more NaN?
A=[4, 8,6,3,NaN,NaN,-1,9,4,5]'
This window is 4
M=movstd(A,4,'omitnan','Endpoints','discard')
M is
2.217355783
2.516611478
2.121320344
2.828427125
7.071067812
5
4.11298756
With the condition to replace with NaN if the window includes 2 or more NaN
M should be
2.217355783
2.516611478
NaN
NaN
NaN
5
4.11298756

采纳的回答

Matt J
Matt J 2021-8-28
编辑:Matt J 2021-8-28
A=[4, 8,6,3,NaN,NaN,-1,9,4,5]';
M=movstd(A,4,'omitnan','Endpoints','discard');
idx=movsum(isnan(A),4,'omitnan','Endpoints','discard')>=2;
M(idx)=nan
M = 7×1
2.2174 2.5166 NaN NaN NaN 5.0000 4.1130

更多回答(1 个)

Walter Roberson
Walter Roberson 2021-8-28
A=[4, 8,6,3,NaN,NaN,-1,9,4,5]'
A = 10×1
4 8 6 3 NaN NaN -1 9 4 5
window = 4;
M=movstd(A,window,'omitnan','Endpoints','discard')
M = 7×1
2.2174 2.5166 2.1213 2.8284 7.0711 5.0000 4.1130
An = isnan(A.');
starts = strfind([false, An], [false,true,true])
starts = 5
stops = strfind([An,false], [true,true,false])+1
stops = 6
M(unique(cell2mat(arrayfun(@(start,stop) start-window+2:stop-1, starts, stops, 'uniform', 0)))) = nan
M = 7×1
2.2174 2.5166 NaN NaN NaN 5.0000 4.1130

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