annotate scripts/statistics/distributions/stdnormal_inv.m @ 20642:9d2023d1a63c

binoinv.m: Implement binary search algorithm for 28X performance increase (bug #34363). * binoinv.m: Call new functions scalar_binoinv or vector_binoinv to calculate binoinv. If there are still uncalculated values then call bin_search_binoinv to perform binary search for remaining values. Add more BIST tests. * binoinv.m (scalar_binoinv): New subfunction to calculate binoinv for scalar x. Stops when x > 1000. * binoinv.m (vector_binoinv): New subfunction to calculate binoinv for scalar x. Stops when x > 1000.
author Lachlan Andrew <lachlanbis@gmail.com>
date Sun, 11 Oct 2015 19:49:40 -0700
parents 9fc020886ae9
children
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1 ## Copyright (C) 2012 Rik Wehbring
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2 ## Copyright (C) 1995-2015 Kurt Hornik
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3 ##
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4 ## This file is part of Octave.
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5 ##
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6 ## Octave is free software; you can redistribute it and/or modify it
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7 ## under the terms of the GNU General Public License as published by
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8 ## the Free Software Foundation; either version 3 of the License, or (at
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9 ## your option) any later version.
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10 ##
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11 ## Octave is distributed in the hope that it will be useful, but
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12 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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14 ## General Public License for more details.
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15 ##
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16 ## You should have received a copy of the GNU General Public License
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17 ## along with Octave; see the file COPYING. If not, see
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18 ## <http://www.gnu.org/licenses/>.
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19
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20 ## -*- texinfo -*-
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21 ## @deftypefn {Function File} {} stdnormal_inv (@var{x})
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22 ## For each element of @var{x}, compute the quantile (the
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23 ## inverse of the CDF) at @var{x} of the standard normal distribution
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24 ## (mean = 0, standard deviation = 1).
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25 ## @end deftypefn
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27 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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28 ## Description: Quantile function of the standard normal distribution
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29
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30 function inv = stdnormal_inv (x)
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31
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32 if (nargin != 1)
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33 print_usage ();
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34 endif
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35
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36 if (iscomplex (x))
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37 error ("stdnormal_inv: X must not be complex");
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38 endif
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39
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40 inv = - sqrt (2) * erfcinv (2 * x);
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41
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42 endfunction
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44
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45 %!shared x
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46 %! x = [-1 0 0.5 1 2];
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47 %!assert (stdnormal_inv (x), [NaN -Inf 0 Inf NaN])
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48
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49 ## Test class of input preserved
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50 %!assert (stdnormal_inv ([x, NaN]), [NaN -Inf 0 Inf NaN NaN])
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51 %!assert (stdnormal_inv (single ([x, NaN])), single ([NaN -Inf 0 Inf NaN NaN]))
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52
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53 ## Test input validation
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54 %!error stdnormal_inv ()
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55 %!error stdnormal_inv (1,2)
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56 %!error stdnormal_inv (i)
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57