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- ## Copyright (C) 1995, 1996, 1997 Kurt Hornik
- ##
- ## This program 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 2, or (at your option)
- ## any later version.
- ##
- ## This program 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 this file. If not, write to the Free Software Foundation,
- ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
-
- ## usage:
- ## [pval, ks] = kolmogorov_smirnov_test (x, dist [, params] [, alt])
- ##
- ##
- ## Performs a Kolmogorov-Smirnov test of the null hypothesis that the
- ## sample x comes from the (continuous) distribution dist. I.e., if F
- ## and G are the CDFs corresponding to the sample and dist, respectively,
- ## then the null is that F == G.
- ##
- ## The optional argument params contains a list of parameters of dist.
- ## E.g., to test whether a sample x comes from a uniform distribution on
- ## [2,4], use `kolmogorov_smirnov_test(x, "uniform", 2, 4)'.
- ##
- ## With the optional argument string alt, the alternative of interest
- ## can be selected. If alt is "!=" or "<>", the null is tested against
- ## the two-sided alternative F != G. In this case, the test statistic
- ## ks follows a two-sided Kolmogorov-Smirnov distribution.
- ## If alt is ">", the one-sided alternative F > G is considered,
- ## similarly for "<". In this case, the test statistic ks has a
- ## one-sided Kolmogorov-Smirnov distribution.
- ## The default is the two-sided case.
- ##
- ## pval is the p-value of the test.
- ##
- ## If no output argument is given, the p-value is displayed.
-
- ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
- ## Description: One-sample Kolmogorov-Smirnov test
-
- function [pval, ks] = kolmogorov_smirnov_test (x, dist, ...)
-
- if (nargin < 2)
- error (sprintf (["usage:\n\t", ...
- "[pval, ks] = ", ...
- "kolmogorov_smirnov_test (x, dist, [, params] [, alt])"]));
- endif
-
- if (! is_vector (x))
- error ("kolmogorov_smirnov_test: x must be a vector.");
- endif
-
- n = length (x);
- s = sort (x);
- f = sprintf ("%s_cdf", dist);
-
- alt = "!=";
-
- if (nargin == 2)
- z = reshape (feval (f, s), 1, n);
- else
- args = "";
- for k = 1 : (nargin-2);
- tmp = va_arg ();
- if isstr (tmp)
- alt = tmp;
- else
- args = sprintf ("%s, %g", args, tmp);
- endif
- endfor
- z = reshape (eval (sprintf ("%s(s%s);", f, args)), 1, n);
- endif
-
- if (strcmp (alt, "!=") || strcmp (alt, "<>"))
- ks = sqrt(n) * max(max([abs(z - (0:(n-1))/n); abs(z - (1:n)/n)]));
- pval = 1 - kolmogorov_smirnov_cdf (ks);
- elseif (strcmp (alt, ">"))
- ks = sqrt(n) * max (max ([z - (0:(n-1))/n; z - (1:n)/n]));
- pval = exp(- 2 * ks^2);
- elseif (strcmp (alt, "<"))
- ks = - sqrt(n) * min (min ([z - (0:(n-1))/n; z - (1:n)/n]));
- pval = exp(- 2 * ks^2);
- else
- error (sprintf (["kolmogorov_smirnov_test: ", ...
- "alternative %s not recognized"], alt));
- endif
-
- if (nargout == 0)
- printf ("pval: %g\n", pval);
- endif
-
- endfunction
-