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Set up iteration for fixed-effect matrix
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1 changed files with 15 additions and 1 deletions
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@ -90,4 +90,18 @@ end
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disp(' ')
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disp('If no animal matching this description exists, the results may appear')
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disp('outlandish, but are still as correct as the accuracy suggests')
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disp(' ')
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disp(' ')
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% Form the fixed effect matrix
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X = zeros(numanimals, sum(numgroups)-length(numgroups)+1);
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X(:,1) = ones(1, numanimals);
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% Iterate through each group
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for i = 1:length(normal)
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% Find the traits that are present in this trait
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traits = uniquecell(data(:,i+5));
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% Remove the "normal" version from the analysis
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normalindex = find(strcmp(traits, normal{i}));
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traits(normalindex) = [];
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end
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