Creating a loop to use all columns in a dataset array
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Hello , i have a data set with 10 columns.The first column contains the names of the variables and the 9 next contain the data for the variables across 9 periods. I want , for each period ,to take the data which are lower than the data's median .I use the following command for the first period: s1=data(data.mv1<median(data.mv1),{'Name','mv1',}), where mv1 is the header of the first period's column and s1 a new dataset which contains only the variables i want. My question is , can i write a (for) loop that will automatically do this for the whole 9 periods, thus giving me s1,s2,...,s9?
1 Comment
Jan
on 26 Jul 2011
There must be one or two typos in "s1=data(data.mv1<median(data.mv1),{'Name','mv1',})"
Please fix them by editing your question.
Accepted Answer
More Answers (2)
Jan
on 26 Jul 2011
1 vote
It would be easy, if you do not use symbols like 's1' and 'mv1', which have an index inside the name. Better use and index as index: s{1}, s{2}, ... and mv{1}, mv{2}, ...
Titus Edelhofer
on 26 Jul 2011
Hi,
I guess this leads to the question, how to get to data.mv1 where mv1 is given in a variable?
Note, that data.mv1 is the same as data.('mv1'). So if you have e.g.
header = {'mv1', ...};
then you could do
for i=1:length(header)
col = data.(header{i});
% do your median thing
dataNew = data(col<median(col));
end
Hope, this helps,
Titus
2 Comments
Giorgos
on 26 Jul 2011
Titus Edelhofer
on 26 Jul 2011
Yes, header is a cell array containing the names. And yes, there should be some subscript depending on what further you want to do with the reduced data ...
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