--- /dev/null
+/* PSPP - computes sample statistics.
+ Copyright (C) 2006 Free Software Foundation, Inc.
+ Written by John Darrington <john@darrington.wattle.id.au>
+
+ 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.
+
+ 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. */
+
+#include <config.h>
+#include <libpspp/compiler.h>
+#include <output/table.h>
+#include <libpspp/alloc.h>
+
+#include <data/case.h>
+#include <data/casefile.h>
+#include <data/dictionary.h>
+#include <data/procedure.h>
+#include <data/variable.h>
+#include <data/value.h>
+#include <data/value-labels.h>
+#include <data/casefilter.h>
+
+#include <libpspp/message.h>
+#include <libpspp/assertion.h>
+
+#include "binomial.h"
+#include "freq.h"
+
+#include "gettext.h"
+#define _(msgid) gettext (msgid)
+
+#include <libpspp/misc.h>
+
+#include <gsl/gsl_cdf.h>
+#include <gsl/gsl_randist.h>
+#include <gsl-extras/gsl-extras.h>
+
+#include <minmax.h>
+
+#include <libpspp/hash.h>
+
+static double calculate_binomial_internal (double n1, double n2,
+ double p);
+
+
+static void
+swap (double *i1, double *i2)
+{
+ double temp = *i1;
+ *i1 = *i2;
+ *i2 = temp;
+}
+
+static double
+calculate_binomial (double n1, double n2, double p)
+{
+ const double n = n1 + n2;
+ const bool test_reversed = (n1 / n > p ) ;
+ if ( test_reversed )
+ {
+ p = 1 - p ;
+ swap (&n1, &n2);
+ }
+
+ return calculate_binomial_internal (n1, n2, p);
+}
+
+static double
+calculate_binomial_internal (double n1, double n2, double p)
+{
+ /* SPSS Statistical Algorithms has completely different and WRONG
+ advice here. */
+
+ double sig1tailed = gslextras_cdf_binomial_P (n1, n1 + n2, p);
+
+ if ( p == 0.5 )
+ return sig1tailed > 0.5 ? 1.0 :sig1tailed * 2.0;
+
+ return sig1tailed ;
+}
+
+static void
+do_binomial (const struct dictionary *dict,
+ const struct casefile *cf,
+ const struct binomial_test *bst,
+ struct freq *cat1,
+ struct freq *cat2,
+ const struct casefilter *filter
+ )
+{
+ bool warn = true;
+
+ const struct one_sample_test *ost = (const struct one_sample_test *) bst;
+ struct ccase c;
+ struct casereader *r = casefile_get_reader (cf, NULL);
+
+ while (casereader_read(r, &c))
+ {
+ int v;
+ double w =
+ dict_get_case_weight (dict, &c, &warn);
+
+ for (v = 0 ; v < ost->n_vars ; ++v )
+ {
+ const struct variable *var = ost->vars[v];
+ const union value *value = case_data (&c, var);
+
+ if ( casefilter_variable_missing (filter, &c, var))
+ break;
+
+ if ( NULL == cat1[v].value )
+ {
+ cat1[v].value = value_dup (value, var_get_width (var));
+ cat1[v].count = w;
+ }
+ else if ( 0 == compare_values (cat1[v].value, value,
+ var_get_width (var)))
+ cat1[v].count += w;
+ else if ( NULL == cat2[v].value )
+ {
+ cat2[v].value = value_dup (value, var_get_width (var));
+ cat2[v].count = w;
+ }
+ else if ( 0 == compare_values (cat2[v].value, value,
+ var_get_width (var)))
+ cat2[v].count += w;
+ else if ( bst->category1 == SYSMIS)
+ msg (ME, _("Variable %s is not dichotomous"), var_get_name (var));
+ }
+
+ case_destroy (&c);
+ }
+ casereader_destroy (r);
+}
+
+
+
+void
+binomial_execute (const struct dataset *ds,
+ const struct casefile *cf,
+ struct casefilter *filter,
+ const struct npar_test *test)
+{
+ int v;
+ const struct binomial_test *bst = (const struct binomial_test *) test;
+ const struct one_sample_test *ost = (const struct one_sample_test*) test;
+
+ struct freq *cat1 = xzalloc (sizeof (*cat1) * ost->n_vars);
+ struct freq *cat2 = xzalloc (sizeof (*cat1) * ost->n_vars);
+ struct tab_table *table ;
+
+ assert ((bst->category1 == SYSMIS) == (bst->category2 == SYSMIS) );
+
+ if ( bst->category1 != SYSMIS )
+ {
+ union value v;
+ v.f = bst->category1;
+ cat1->value = value_dup (&v, 0);
+ }
+
+ if ( bst->category2 != SYSMIS )
+ {
+ union value v;
+ v.f = bst->category2;
+ cat2->value = value_dup (&v, 0);
+ }
+
+ do_binomial (dataset_dict(ds), cf, bst, cat1, cat2, filter);
+
+ table = tab_create (7, ost->n_vars * 3 + 1, 0);
+
+ tab_dim (table, tab_natural_dimensions);
+
+ tab_title (table, _("Binomial Test"));
+
+ tab_headers (table, 2, 0, 1, 0);
+
+ tab_box (table, TAL_1, TAL_1, -1, TAL_1,
+ 0, 0, table->nc - 1, tab_nr(table) - 1 );
+
+ for (v = 0 ; v < ost->n_vars; ++v)
+ {
+ double n_total, sig;
+ const struct variable *var = ost->vars[v];
+ tab_hline (table, TAL_1, 0, tab_nc (table) -1, 1 + v * 3);
+
+ /* Titles */
+ tab_text (table, 0, 1 + v * 3, TAB_LEFT,
+ var_to_string (var));
+
+ tab_text (table, 1, 1 + v * 3, TAB_LEFT,
+ _("Group1"));
+
+ tab_text (table, 1, 2 + v * 3, TAB_LEFT,
+ _("Group2"));
+
+ tab_text (table, 1, 3 + v * 3, TAB_LEFT,
+ _("Total"));
+
+ /* Test Prop */
+ tab_float (table, 5, 1 + v * 3, TAB_NONE, bst->p, 8, 3);
+
+ /* Category labels */
+ tab_text (table, 2, 1 + v * 3, TAB_NONE,
+ var_get_value_name (var, cat1[v].value));
+
+ tab_text (table, 2, 2 + v * 3, TAB_NONE,
+ var_get_value_name (var, cat2[v].value));
+
+ /* Observed N */
+ tab_float (table, 3, 1 + v * 3, TAB_NONE,
+ cat1[v].count, 8, 0);
+
+ tab_float (table, 3, 2 + v * 3, TAB_NONE,
+ cat2[v].count, 8, 0);
+
+ n_total = cat1[v].count + cat2[v].count;
+
+
+ tab_float (table, 3, 3 + v * 3, TAB_NONE,
+ n_total, 8, 0);
+
+ /* Observed Proportions */
+
+ tab_float (table, 4, 1 + v * 3, TAB_NONE,
+ cat1[v].count / n_total, 8, 3);
+
+ tab_float (table, 4, 2 + v * 3, TAB_NONE,
+ cat2[v].count / n_total, 8, 3);
+
+ tab_float (table, 4, 3 + v * 3, TAB_NONE,
+ (cat1[v].count + cat2[v].count) / n_total, 8, 2);
+
+
+ /* Significance */
+ sig = calculate_binomial (cat1[v].count, cat2[v].count,
+ bst->p);
+
+ tab_float (table, 6, 1 + v * 3, TAB_NONE,
+ sig, 8, 3);
+ }
+
+ tab_text (table, 2, 0, TAB_CENTER, _("Category"));
+ tab_text (table, 3, 0, TAB_CENTER, _("N"));
+ tab_text (table, 4, 0, TAB_CENTER, _("Observed Prop."));
+ tab_text (table, 5, 0, TAB_CENTER, _("Test Prop."));
+
+ tab_text (table, 6, 0, TAB_CENTER | TAT_PRINTF,
+ _("Exact Sig. (%d-tailed)"),
+ bst->p == 0.5 ? 2: 1);
+
+ tab_vline (table, TAL_2, 2, 0, tab_nr (table) -1);
+
+ free (cat1);
+ free (cat2);
+
+ tab_submit (table);
+
+}
projects / pspp-builds.git / blobdiff