annotate scripts/signal/autoreg_matrix.m @ 20614:10ec79b47808

use new string_value method to handle value extraction errors * __voronoi__.cc, chol.cc, colamd.cc, fftw.cc: Use new string_value method.
author John W. Eaton <jwe@octave.org>
date Thu, 08 Oct 2015 18:15:56 -0400
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1 ## Copyright (C) 1995-2015 Kurt Hornik
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2 ##
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3 ## This file is part of Octave.
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4 ##
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5 ## Octave is free software; you can redistribute it and/or modify it
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6 ## under the terms of the GNU General Public License as published by
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7 ## the Free Software Foundation; either version 3 of the License, or (at
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8 ## your option) any later version.
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9 ##
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10 ## Octave is distributed in the hope that it will be useful, but
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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13 ## General Public License for more details.
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14 ##
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15 ## You should have received a copy of the GNU General Public License
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16 ## along with Octave; see the file COPYING. If not, see
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17 ## <http://www.gnu.org/licenses/>.
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18
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19 ## -*- texinfo -*-
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20 ## @deftypefn {Function File} {} autoreg_matrix (@var{y}, @var{k})
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21 ## Given a time series (vector) @var{y}, return a matrix with ones in the first
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22 ## column and the first @var{k} lagged values of @var{y} in the other columns.
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23 ##
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24 ## In other words, for @var{t} > @var{k},
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25 ## @code{[1, @var{y}(@var{t}-1), @dots{}, @var{y}(@var{t}-@var{k})]} is the
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26 ## t-th row of the result.
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27 ##
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28 ## The resulting matrix may be used as a regressor matrix in autoregressions.
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29 ## @end deftypefn
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30
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31 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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32 ## Description: Design matrix for autoregressions
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34 function X = autoreg_matrix (y, k)
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36 if (nargin != 2)
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37 print_usage ();
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38 endif
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39
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40 if (! (isvector (y)))
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41 error ("autoreg_matrix: Y must be a vector");
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42 endif
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43
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44 T = length (y);
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45 y = reshape (y, T, 1);
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46 X = ones (T, k+1);
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47 for j = 1 : k;
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48 X(:, j+1) = [(zeros (j, 1)); y(1:T-j)];
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49 endfor
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50
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51 endfunction
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54 %!test
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55 %! K = 4;
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56 %! A = zeros (1,K+1);
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57 %! A(1) = 1;
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58 %! B = eye (K+1);
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59 %! B(:,1) = 1;
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60 %! assert (autoreg_matrix (A,K), B);
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62 %!error autoreg_matrix ()
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63 %!error autoreg_matrix (1)
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64 %!error autoreg_matrix (ones (4,1), 5)
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