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view rDiff/src/locfit/m/aicplot.m @ 1:08d3a6143873
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author | vipints |
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date | Tue, 08 Oct 2013 06:54:25 -0400 |
parents | 0f80a5141704 |
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function g=aicplot(alpha,varargin) % % Computes and plots the -2*AIC % for local fits with different smoothing parameters. % % The first argument to aicplot(), alpha, should be a matrix with one % or two columns (first column = nearest neighbor component, second % column = constant component). Each row of this matrix is, in turn, % passed as the 'alpha' argument to aic() (and locfit()). The results % are stored in a matrix, and aic score ploted against the degrees of % freedom. k = size(alpha,1); z = zeros(k,4); for i=1:k z(i,:) = aic(varargin{:},'alpha',alpha(i,:)); end; plot(z(:,3),z(:,4)); xlabel('Fitted DF'); ylabel('AIC'); g = [alpha z]; return;