-/* PSPP - A program for statistical analysis . -*-c-*-
+/* PSPP - a program for statistical analysis.
+ Copyright (C) 2004 Free Software Foundation, Inc.
-Copyright (C) 2004 Free Software Foundation, Inc.
-Author: John Darrington 2004
+ 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 3 of the License, or
+ (at your option) any later version.
-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 of the
-License, 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.
-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 program; if not, write to the Free Software
-Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
-02110-1301, USA. */
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>. */
#ifndef FACTOR_STATS
#define FACTOR_STATS
-/* FIXME: These things should probably be amalgamated with the
+/* FIXME: These things should probably be amalgamated with the
group_statistics struct */
-#include "hash.h"
-#include "value.h"
+#include <libpspp/hash.h>
+#include <data/value.h>
#include <string.h>
#include <gsl/gsl_histogram.h>
#include "percentiles.h"
double n;
double n_missing;
-
+
double min;
double max;
double mean;
-
+
double se_mean;
double var;
void metrics_precalc(struct metrics *m);
-void metrics_calc(struct metrics *m, const union value *f, double weight,
+void metrics_calc(struct metrics *m, const union value *f, double weight,
int case_no);
void metrics_postcalc(struct metrics *m);
struct case_node *next;
};
-struct weighted_value
+struct weighted_value
{
union value v;
double w;
/* The cumulative weight */
- double cc;
+ double cc;
/* The rank */
double rank;
/* Linked list of cases nos which have this value */
struct case_node *case_nos;
-
+
};
struct factor_statistics {
/* The values of the independent variables */
- union value id[2];
+ union value *id[2];
/* The an array stats for this factor, one for each dependent var */
struct metrics *m;
/* Create a factor statistics object with for N dependent vars
and ID as the value of the independent variable */
-struct factor_statistics *
-create_factor_statistics (int n, union value *id0, union value *id1);
+struct factor_statistics * create_factor_statistics (int n,
+ union value *id0,
+ union value *id1);
void factor_statistics_free(struct factor_statistics *f);
/* Compare f0 and f1.
width is the width of the independent variable */
-int
+int
factor_statistics_compare(const struct factor_statistics *f0,
const struct factor_statistics *f1, int width);
-
-
-unsigned int
+unsigned int
factor_statistics_hash(const struct factor_statistics *f, int width);
#endif