-/* PSPP - computes sample statistics.
- Copyright (C) 2006 Free Software Foundation, Inc.
- Written by John Darrington <john@darrington.wattle.id.au>
+/* PSPP - a program for statistical analysis.
+ Copyright (C) 2006, 2009 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 2 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 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.
+ 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. */
+ along with this program. If not, see <http://www.gnu.org/licenses/>. */
#include <config.h>
#include <libpspp/compiler.h>
#include <output/table.h>
-#include <libpspp/alloc.h>
+#include <data/format.h>
#include <data/case.h>
-#include <data/casefile.h>
+#include <data/casereader.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 "xalloc.h"
+
#include "gettext.h"
#define _(msgid) gettext (msgid)
#include <gsl/gsl_cdf.h>
#include <gsl/gsl_randist.h>
-#include <gsl-extras/gsl-extras.h>
#include <minmax.h>
static double
calculate_binomial_internal (double n1, double n2, double p)
{
- /* SPSS Statistical Algorithms has completely different and WRONG
+ /* SPSS Statistical Algorithms has completely different and WRONG
advice here. */
- double sig1tailed = gslextras_cdf_binomial_P (n1, n1 + n2, p);
+ double sig1tailed = gsl_cdf_binomial_P (n1, p, n1 + n2);
if ( p == 0.5 )
return sig1tailed > 0.5 ? 1.0 :sig1tailed * 2.0;
return sig1tailed ;
}
-static void
+static bool
do_binomial (const struct dictionary *dict,
- const struct casefile *cf,
+ struct casereader *input,
const struct binomial_test *bst,
- struct freq *cat1,
- struct freq *cat2,
- const struct casefilter *filter
+ struct freq_mutable *cat1,
+ struct freq_mutable *cat2,
+ enum mv_class exclude
)
{
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);
+ struct ccase *c;
- while (casereader_read(r, &c))
+ for (; (c = casereader_read (input)) != NULL; case_unref (c))
{
int v;
- double w =
- dict_get_case_weight (dict, &c, &warn);
+ 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);
+ double value = case_num (c, var);
- if ( casefilter_variable_missing (filter, &c, var))
- break;
+ if (var_is_num_missing (var, value, exclude))
+ continue;
- if ( NULL == cat1[v].value )
+ if (bst->cutpoint != SYSMIS)
{
- cat1[v].value = value_dup (value, var_get_width (var));
- cat1[v].count = w;
+ if ( cat1[v].value.f >= value )
+ cat1[v].count += w;
+ else
+ cat2[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 )
+ else
{
- cat2[v].value = value_dup (value, var_get_width (var));
- cat2[v].count = w;
+ if ( SYSMIS == cat1[v].value.f )
+ {
+ cat1[v].value.f = value;
+ cat1[v].count = w;
+ }
+ else if ( cat1[v].value.f == value )
+ cat1[v].count += w;
+ else if ( SYSMIS == cat2[v].value.f )
+ {
+ cat2[v].value.f = value;
+ cat2[v].count = w;
+ }
+ else if ( cat2[v].value.f == value )
+ cat2[v].count += w;
+ else if ( bst->category1 == SYSMIS)
+ msg (ME, _("Variable %s is not dichotomous"), var_get_name (var));
}
- 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);
+ return casereader_destroy (input);
}
void
binomial_execute (const struct dataset *ds,
- const struct casefile *cf,
- struct casefilter *filter,
- const struct npar_test *test)
+ struct casereader *input,
+ enum mv_class exclude,
+ const struct npar_test *test,
+ bool exact UNUSED,
+ double timer UNUSED)
{
int v;
+ const struct dictionary *dict = dataset_dict (ds);
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 ;
+ struct freq_mutable *cat[2];
+ int i;
- assert ((bst->category1 == SYSMIS) == (bst->category2 == SYSMIS) );
+ assert ((bst->category1 == SYSMIS) == (bst->category2 == SYSMIS) || bst->cutpoint != SYSMIS);
- if ( bst->category1 != SYSMIS )
+ for (i = 0; i < 2; i++)
{
- union value v;
- v.f = bst->category1;
- cat1->value = value_dup (&v, 0);
+ double value;
+ if (i == 0)
+ value = bst->cutpoint != SYSMIS ? bst->cutpoint : bst->category1;
+ else
+ value = bst->category2;
+
+ cat[i] = xnmalloc (ost->n_vars, sizeof *cat[i]);
+ for (v = 0; v < ost->n_vars; v++)
+ {
+ cat[i][v].value.f = value;
+ cat[i][v].count = 0;
+ }
}
- if ( bst->category2 != SYSMIS )
+ if (do_binomial (dataset_dict (ds), input, bst, cat[0], cat[1], exclude))
{
- 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"));
+ const struct variable *wvar = dict_get_weight (dict);
+ const struct fmt_spec *wfmt = wvar ?
+ var_get_print_format (wvar) : & F_8_0;
- tab_text (table, 1, 3 + v * 3, TAB_LEFT,
- _("Total"));
+ struct tab_table *table = tab_create (7, ost->n_vars * 3 + 1, 0);
- /* Test Prop */
- tab_float (table, 5, 1 + v * 3, TAB_NONE, bst->p, 8, 3);
+ tab_dim (table, tab_natural_dimensions, NULL);
- /* Category labels */
- tab_text (table, 2, 1 + v * 3, TAB_NONE,
- var_get_value_name (var, cat1[v].value));
+ tab_title (table, _("Binomial Test"));
- tab_text (table, 2, 2 + v * 3, TAB_NONE,
- var_get_value_name (var, cat2[v].value));
+ tab_headers (table, 2, 0, 1, 0);
- /* Observed N */
- tab_float (table, 3, 1 + v * 3, TAB_NONE,
- cat1[v].count, 8, 0);
+ tab_box (table, TAL_1, TAL_1, -1, TAL_1,
+ 0, 0, table->nc - 1, tab_nr(table) - 1 );
- tab_float (table, 3, 2 + v * 3, TAB_NONE,
- cat2[v].count, 8, 0);
+ for (v = 0 ; v < ost->n_vars; ++v)
+ {
+ double n_total, sig;
+ struct string catstr[2];
+ const struct variable *var = ost->vars[v];
- n_total = cat1[v].count + cat2[v].count;
+ ds_init_empty (&catstr[0]);
+ ds_init_empty (&catstr[1]);
-
- 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);
+ if ( bst->cutpoint != SYSMIS)
+ {
+ ds_put_format (&catstr[0], "<= %g", bst->cutpoint);
+ }
+ else
+ {
+ var_append_value_name (var, &cat[0][v].value, &catstr[0]);
+ var_append_value_name (var, &cat[1][v].value, &catstr[1]);
+ }
+
+ 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_double (table, 5, 1 + v * 3, TAB_NONE, bst->p, NULL);
+
+ /* Category labels */
+ tab_text (table, 2, 1 + v * 3, TAB_NONE, ds_cstr (&catstr[0]));
+ tab_text (table, 2, 2 + v * 3, TAB_NONE, ds_cstr (&catstr[1]));
+
+ /* Observed N */
+ tab_double (table, 3, 1 + v * 3, TAB_NONE, cat[0][v].count, wfmt);
+ tab_double (table, 3, 2 + v * 3, TAB_NONE, cat[1][v].count, wfmt);
+
+ n_total = cat[0][v].count + cat[1][v].count;
+ tab_double (table, 3, 3 + v * 3, TAB_NONE, n_total, wfmt);
+
+ /* Observed Proportions */
+ tab_double (table, 4, 1 + v * 3, TAB_NONE,
+ cat[0][v].count / n_total, NULL);
+ tab_double (table, 4, 2 + v * 3, TAB_NONE,
+ cat[1][v].count / n_total, NULL);
+
+ tab_double (table, 4, 3 + v * 3, TAB_NONE,
+ (cat[0][v].count + cat[1][v].count) / n_total, NULL);
+
+ /* Significance */
+ sig = calculate_binomial (cat[0][v].count, cat[1][v].count, bst->p);
+ tab_double (table, 6, 1 + v * 3, TAB_NONE, sig, NULL);
+
+ ds_destroy (&catstr[0]);
+ ds_destroy (&catstr[1]);
+ }
+
+ 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_format (table, 6, 0, TAB_CENTER,
+ _("Exact Sig. (%d-tailed)"),
+ bst->p == 0.5 ? 2 : 1);
+
+ tab_vline (table, TAL_2, 2, 0, tab_nr (table) -1);
+ tab_submit (table);
}
- 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);
-
+ for (i = 0; i < 2; i++)
+ free (cat[i]);
}
projects / pspp-builds.git / blobdiff