Mercurial > hg > octave-nkf
view scripts/signal/hurst.m @ 20565:e365a34a1c5c
Fix more installation discrepancies in scripts directory
* scripts/module.mk (scripts_@ftpdir): Fix definition.
(install-pkg-add): Strip "scripts/" prefix when installing PKG_ADD files.
* scripts/set/module.mk (FCN_FILE_DIRS): Add scripts/set/private.
(scripts_set_FCN_FILES) Remove scripts/set/private/validsetargs.m from
the list. (scripts_set_PRIVATE_FCN_FILES, scripts_set_privatedir,
scripts_set_private_DATA): New variables.
(FCN_FILES): Add $(scripts_set_PRIVATE_FCN_FILES) to the list.
* scripts/startup/module.mk (scripts_startup_DATA) Remove
$(STARTUP_FILE_SRC) from the list.
author | Mike Miller <mtmiller@octave.org> |
---|---|
date | Thu, 16 Jul 2015 01:18:40 -0400 |
parents | f1d0f506ee78 |
children |
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## Copyright (C) 1995-2015 Friedrich Leisch ## ## 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} {} hurst (@var{x}) ## Estimate the Hurst parameter of sample @var{x} via the rescaled range ## statistic. ## ## If @var{x} is a matrix, the parameter is estimated for every column. ## @end deftypefn ## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at> ## Description: Estimate the Hurst parameter function H = hurst (x) if (nargin != 1) print_usage (); endif if (isscalar (x)) error ("hurst: X must not be a scalar"); elseif (isvector (x)) x = reshape (x, length (x), 1); endif [xr, xc] = size (x); s = std (x); w = cumsum (x - mean (x)); RS = (max (w) - min (w)) ./ s; H = log (RS) / log (xr); endfunction