grouping structures together based on filter
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Hi I have a structure that looks like the below
a
=
mydata:[135x6]
myid:{1x6}
mydates = [135x1]
I would like to separate out data into positive and negative I would go through each column in mydata and filter for positive and negative and match it to the corresponding dates
so that in the end i have 6 structures
so for example
apos(1)
=
mydata:[120x1]
mydates:[120x1]
myid ={1}
is there a clean way to do this rather than using a for loop?
Thanks, HD
采纳的回答
Walter Roberson
2013-8-21
编辑：Walter Roberson
2013-8-21
aneg = cell2mat( arrayfun( @(K) struct( 'mydata', a.mydata(a.mydata(:,K) < 0,K), 'mydates', a.mydates(a.mydata(:,K) < 0), 'myid', a.myid(K)), 1:size(a.mydata,2),'Uniform', 0) );
apos = cell2mat( arrayfun( @(K) struct( 'mydata', a.mydata(a.mydata(:,K) > 0,K), 'mydates', a.mydates(a.mydata(:,K) > 0), 'myid', a.myid(K)), 1:size(a.mydata,2),'Uniform', 0) );
Question: what if the data is exactly 0?
3 个评论
hdg D
2013-8-21
Walter Roberson
2013-8-21
Sorry, I fixed my typo.
If you want 0 to be included with positive, then use >= 0 instead of > 0 for apos
hdg D
2013-8-21
更多回答（1 个）
Azzi Abdelmalek
2013-8-21
编辑：Azzi Abdelmalek
2013-8-21
%Example
a.mydata=randi([-10 10],135,6)
a.myid=randi([-10 10],1,6)
a.mydates =randi([-10 10],135,1)
%--------------------------------
c1=a.mydata(:);
c2=a.myid(:);
c3=a.mydates(:);
apos.mydata=c1(c1>=0)
apos.myid=c2(c2>=0)
apos.mydates=c3(c3>=0)
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