Boxplot groups by mask set

2011 4 15
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I have a vector of data, and a set of masks defining my (possibly overlapping) groups:
data = rand(100,1)
grpMasks = [(1:100)'<25, (1:100)'<60&(1:100)'>10, (1:100)'>40, rand(100,1)>0.5]
So my data is 100-by-1, I have 4 groups in a 100-by-4 logical mask. I want to make a boxplot with 4 boxes, 1 per mask.
boxplot(data, grpMasks)
Makes N boxes, where N is the number of unique row combinations in grpMasks.
I know that I can loop from 1 to 4, make a single boxplot and then shift each box's X-location, but I feel like that's unnecessarily messy. I've got my data, I've got a format of my groups. Can boxplot handle this form of grouping?

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Sven
Sven 2011-4-15

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Ah! Here's my solution. Repeat the data for as many groups as you have, and then NaN out the data not belonging to each group:
data = rand(100,1);
grpMasks = [(1:100)'<25, (1:100)'<60&(1:100)'>10, (1:100)'>40, rand(100,1)>0.5];
numGrps = size(grpMasks,2);
allData = data * ones(1,numGrps);
allData(~grpMasks) = nan;
boxplot(allData);

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