Complete re-implementation of the EXAMINE command.

[pspp-builds.git] / src / math / factor-stats.h

diff --git a/src/math/factor-stats.h b/src/math/factor-stats.h
deleted file mode 100644 (file)
index 3c1c7f9..0000000
--- a/src/math/factor-stats.h
+++ /dev/null
@@ -1,162 +0,0 @@
-/* PSPP - a program for statistical analysis.
-   Copyright (C) 2004 Free Software Foundation, Inc.
-
-   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 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, see <http://www.gnu.org/licenses/>. */
-
-#ifndef FACTOR_STATS
-#define FACTOR_STATS
-
-
-/* FIXME: These things should probably be amalgamated with the
-   group_statistics struct */
-
-#include <libpspp/hash.h>
-#include <data/value.h>
-#include <string.h>
-#include <gsl/gsl_histogram.h>
-#include "percentiles.h"
-
-
-struct moments1;
-
-struct metrics
-{
-  double n;
-
-  double n_missing;
-
-  double min;
-
-  double max;
-
-  double mean;
-
-  double se_mean;
-
-  double var;
-
-  double stddev;
-
-  struct moments1 *moments;
-
-  gsl_histogram *histogram;
-
-  double skewness;
-  double kurtosis;
-
-  double trimmed_mean;
-
-  /* A hash of data for this factor. */
-  struct hsh_table *ordered_data;
-
-  /* A Pointer to this hash table AFTER it has been SORTED and crunched */
-  struct weighted_value **wvp;
-
-  /* The number of values in the above array
-     (if all the weights are 1, then this will
-     be the same as n) */
-  int n_data;
-
-  /* Percentile stuff */
-
-  /* A hash of struct percentiles */
-  struct hsh_table *ptile_hash;
-
-  /* Algorithm to be used for calculating percentiles */
-  enum pc_alg ptile_alg;
-
-  /* Tukey's Hinges */
-  double hinge[3];
-
-};
-
-
-struct metrics * metrics_create(void);
-
-void metrics_precalc(struct metrics *m);
-
-void metrics_calc(struct metrics *m, const union value *f, double weight,
-                 int case_no);
-
-void metrics_postcalc(struct metrics *m);
-
-void  metrics_destroy(struct metrics *m);
-
-
-
-/* Linked list of case nos */
-struct case_node
-{
-  int num;
-  struct case_node *next;
-};
-
-struct weighted_value
-{
-  union value v;
-
-  /* The weight */
-  double w;
-
-  /* The cumulative weight */
-  double cc;
-
-  /* The rank */
-  double rank;
-
-  /* Linked list of cases nos which have this value */
-  struct case_node *case_nos;
-
-};
-
-
-struct weighted_value *weighted_value_create(void);
-
-void weighted_value_free(struct weighted_value *wv);
-
-
-
-struct factor_statistics {
-
-  /* The values of the independent variables */
-  union value *id[2];
-
-  /* The an array stats for this factor, one for each dependent var */
-  struct metrics *m;
-
-  /* The number of dependent variables */
-  int n_var;
-};
-
-
-/* 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);
-
-
-void factor_statistics_free(struct factor_statistics *f);
-
-
-/* Compare f0 and f1.
-   width is the width of the independent variable */
-int
-factor_statistics_compare(const struct factor_statistics *f0,
-                         const struct factor_statistics *f1, int width);
-
-unsigned int
-factor_statistics_hash(const struct factor_statistics *f, int width);
-
-#endif