boxplot from a structured array

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cgenes
cgenes 2017-7-13
评论： cgenes 2017-7-14
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
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the cyclist
the cyclist 2017-7-13
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.

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the cyclist
the cyclist 2017-7-13
编辑：the cyclist 2017-7-14 
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))
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the cyclist
the cyclist 2017-7-14
编辑：the cyclist 2017-7-14

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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