boxplot from a structured array

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cgenes
cgenes 2017년 7월 13일
댓글: cgenes 2017년 7월 14일
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
  댓글 수: 3
cgenes
cgenes 2017년 7월 13일
here it is
the cyclist
the cyclist 2017년 7월 13일
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 2017년 7월 13일
편집: the cyclist 2017년 7월 14일
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))
  댓글 수: 3
the cyclist
the cyclist 2017년 7월 14일
편집: the cyclist 2017년 7월 14일

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.

cgenes
cgenes 2017년 7월 14일
thanks very much

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