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Fix solving the mized model equation

This commit is contained in:
Thomas A. Christensen II 2018-09-21 20:34:36 -06:00
parent eb0ca76d19
commit eb20b8b552

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@ -121,7 +121,7 @@ for i = 1:length(normal)
end
% Create an empty matrix for the additive relationship matrix
A = sparse(numanimals, numanimals);
A = zeros(numanimals, numanimals);
% Create lambdas to find sire and dam of each animal
dam = @(id) [data{animalrow(num2str(id)), 3}];
@ -166,13 +166,13 @@ for i = 1:numanimals
end
% Extract the observed data
Y = data{:, 5};
Y = cell2mat(data(:, 5));
% The identity matrix for random effects
Z = speye(numanimals, numanimals);
Z = eye(numanimals, numanimals);
% Prompt for heritablity
h2 = str2double(input('What is the heritablity for this trait? >> '));
h2 = input('What is the heritablity for this trait? >> ');
lambda = (1-h2)/h2;
% Use the mixed-model equations