boxplot from a structured array
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hi
i have a structured array it's like this
name_of_image(1).stats
name_of_image(2).stats
etc
in .stats is a whole load of variables, like stats.area
what is the simplest way of producing a box plot of e.g stats.area, while ensuring that the box plot is labeled correctly with the name_of_image
thanks
ps i tried a for loop to extract the information, but thought there must be a simpler way
x = [];
% nameArray = [] ;
for i = 1 : length(collated_data)
% nameArray(i) = collated_data(i).name;
for k = 1 : length(collated_data(i).stats)
x(i, k) = collated_data(i).stats(k).area;
if x(i, k) < 17
x(i, k) = NaN;
end
end
end
3 Comments
the cyclist
on 13 Jul 2017
FYI, in your code the variable is named "area", but in the file it is "Area". So, you might need to fix that up in my code.
Accepted Answer
the cyclist
on 13 Jul 2017
Edited: the cyclist
on 14 Jul 2017
numberArrays = numel(collated_data);
areaAndGroup = [];
for na = 1:numberArrays numberAreas = numel(collated_data(na).stats); % This is the tricky part. I'm extracting the area data from the inner structure, munging them into a vector, and then including a second % column that enumerates which structure they came from (to use as a grouping variable in the boxplot command). areaAndGroup = [areaAndGroup; [collated_data(na).stats.Area]',repmat(na,[numberAreas,1])]; end
areaAndGroup(areaAndGroup(:,1)<17,:) = NaN;
figure boxplot(areaAndGroup(:,1),areaAndGroup(:,2))
3 Comments
the cyclist
on 14 Jul 2017
Edited: the cyclist
on 14 Jul 2017
Well, you've got some awfully long names there. The main problem will be parsing those into something that will fit. Here is a not-very-robust attempt:
numberArrays = numel(collated_data);
areaAndGroup = [];
for na = 1:numberArrays numberAreas = numel(collated_data(na).stats); shortName{na} = collated_data(na).name(41:end-14); % This is the tricky part. I'm extracting individual area, munging them into a vector, and then including a second % column enumerated which structure they came from (to use as a grouping variable). areaAndGroup = [areaAndGroup; [collated_data(na).stats.Area]',repmat(na,[numberAreas,1])]; end
areaAndGroup(areaAndGroup(:,1)<17,:) = NaN;
figure boxplot(areaAndGroup(:,1),areaAndGroup(:,2)) set(gca,'XTickLabel',shortName,'XTickLabelRotation',30)
You could do something smarter using regular expressions to identify the relevant part of the longer name.
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