Mercurial > hg > octave-lyh
view scripts/statistics/distributions/tinv.m @ 7017:a1dbe9d80eee
[project @ 2007-10-12 21:27:11 by jwe]
author | jwe |
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date | Fri, 12 Oct 2007 21:27:37 +0000 |
parents | 93c65f2a5668 |
children | 15d3a35b8ff1 |
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## Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik ## ## This file is part of Octave. ## ## Octave is free software; you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 3 of the License, or (at ## your option) any later version. ## ## Octave is distributed in the hope that it will be useful, but ## WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU ## General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} tinv (@var{x}, @var{n}) ## For each component of @var{x}, compute the quantile (the inverse of ## the CDF) at @var{x} of the t (Student) distribution with parameter ## @var{n}. ## @end deftypefn ## For very large n, the "correct" formula does not really work well, ## and the quantiles of the standard normal distribution are used ## directly. ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Quantile function of the t distribution function inv = tinv (x, n) if (nargin != 2) print_usage (); endif if (!isscalar (n)) [retval, x, n] = common_size (x, n); if (retval > 0) error ("tinv: x and n must be of common size or scalar"); endif endif inv = zeros (size (x)); k = find ((x < 0) | (x > 1) | isnan (x) | !(n > 0)); if (any (k)) inv(k) = NaN; endif k = find ((x == 0) & (n > 0)); if (any (k)) inv(k) = -Inf; endif k = find ((x == 1) & (n > 0)); if (any (k)) inv(k) = Inf; endif k = find ((x > 0) & (x < 1) & (n > 0) & (n < 10000)); if (any (k)) if (isscalar (n)) inv(k) = (sign (x(k) - 1/2) .* sqrt (n .* (1 ./ betainv (2*min (x(k), 1 - x(k)), n/2, 1/2) - 1))); else inv(k) = (sign (x(k) - 1/2) .* sqrt (n(k) .* (1 ./ betainv (2*min (x(k), 1 - x(k)), n(k)/2, 1/2) - 1))); endif endif ## For large n, use the quantiles of the standard normal k = find ((x > 0) & (x < 1) & (n >= 10000)); if (any (k)) inv(k) = stdnormal_inv (x(k)); endif endfunction