/* PSPP - a program for statistical analysis.
- Copyright (C) 2006, 2009, 2010, 2011 Free Software Foundation, Inc.
+ Copyright (C) 2006, 2009, 2010, 2011, 2014 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
#include "language/stats/binomial.h"
+#include <float.h>
#include <gsl/gsl_cdf.h>
#include <gsl/gsl_randist.h>
#include "data/case.h"
#include "data/casereader.h"
+#include "data/dataset.h"
#include "data/dictionary.h"
#include "data/format.h"
-#include "data/procedure.h"
#include "data/value-labels.h"
#include "data/value.h"
#include "data/variable.h"
#include "libpspp/compiler.h"
#include "libpspp/message.h"
#include "libpspp/misc.h"
-#include "output/tab.h"
+#include "output/pivot-table.h"
#include "gl/xalloc.h"
#include "gl/minmax.h"
#include "gettext.h"
+#define N_(msgid) msgid
#define _(msgid) gettext (msgid)
static double calculate_binomial_internal (double n1, double n2,
calculate_binomial (double n1, double n2, double p)
{
const double n = n1 + n2;
- const bool test_reversed = (n1 / n > p ) ;
- if ( test_reversed )
+ const bool test_reversed = (n1 / n > p) ;
+ if (test_reversed)
{
p = 1 - p ;
swap (&n1, &n2);
double sig1tailed = gsl_cdf_binomial_P (n1, p, n1 + n2);
- if ( p == 0.5 )
+ if (p == 0.5)
return sig1tailed > 0.5 ? 1.0 :sig1tailed * 2.0;
return sig1tailed ;
struct freq *cat1,
struct freq *cat2,
enum mv_class exclude
- )
+ )
{
const struct binomial_test *bst = UP_CAST (ost, const struct binomial_test, parent);
bool warn = true;
int v;
double w = dict_get_case_weight (dict, c, &warn);
- for (v = 0 ; v < ost->n_vars ; ++v )
+ for (v = 0 ; v < ost->n_vars ; ++v)
{
const struct variable *var = ost->vars[v];
double value = case_num (c, var);
- if (var_is_num_missing (var, value, exclude))
+ if (var_is_num_missing (var, value) & exclude)
continue;
if (bst->cutpoint != SYSMIS)
{
- if ( cat1[v].value.f >= value )
+ if (cat1[v].values[0].f >= value)
cat1[v].count += w;
else
cat2[v].count += w;
}
else
{
- if ( SYSMIS == cat1[v].value.f )
+ if (SYSMIS == cat1[v].values[0].f)
{
- cat1[v].value.f = value;
+ cat1[v].values[0].f = value;
cat1[v].count = w;
}
- else if ( cat1[v].value.f == value )
+ else if (cat1[v].values[0].f == value)
cat1[v].count += w;
- else if ( SYSMIS == cat2[v].value.f )
+ else if (SYSMIS == cat2[v].values[0].f)
{
- cat2[v].value.f = value;
+ cat2[v].values[0].f = value;
cat2[v].count = w;
}
- else if ( cat2[v].value.f == value )
+ else if (cat2[v].values[0].f == value)
cat2[v].count += w;
- else if ( bst->category1 == SYSMIS)
+ else if (bst->category1 == SYSMIS)
msg (ME, _("Variable %s is not dichotomous"), var_get_name (var));
}
}
bool exact UNUSED,
double timer UNUSED)
{
- int v;
const struct dictionary *dict = dataset_dict (ds);
const struct one_sample_test *ost = UP_CAST (test, const struct one_sample_test, parent);
const struct binomial_test *bst = UP_CAST (ost, const struct binomial_test, parent);
value = bst->category2;
cat[i] = xnmalloc (ost->n_vars, sizeof *cat[i]);
- for (v = 0; v < ost->n_vars; v++)
+ for (size_t v = 0; v < ost->n_vars; v++)
{
- cat[i][v].value.f = value;
+ cat[i][v].values[0].f = value;
cat[i][v].count = 0;
}
}
if (do_binomial (dataset_dict (ds), input, ost, cat[0], cat[1], exclude))
{
- const struct variable *wvar = dict_get_weight (dict);
- const struct fmt_spec *wfmt = wvar ?
- var_get_print_format (wvar) : & F_8_0;
-
- struct tab_table *table = tab_create (7, ost->n_vars * 3 + 1);
-
- tab_title (table, _("Binomial Test"));
-
- tab_headers (table, 2, 0, 1, 0);
-
- tab_box (table, TAL_1, TAL_1, -1, TAL_1,
- 0, 0, tab_nc (table) - 1, tab_nr(table) - 1 );
-
- for (v = 0 ; v < ost->n_vars; ++v)
+ struct pivot_table *table = pivot_table_create (N_("Binomial Test"));
+ pivot_table_set_weight_var (table, dict_get_weight (dict));
+
+ pivot_dimension_create (
+ table, PIVOT_AXIS_COLUMN, N_("Statistics"),
+ N_("Category"),
+ N_("N"), PIVOT_RC_COUNT,
+ N_("Observed Prop."), PIVOT_RC_OTHER,
+ N_("Test Prop."), PIVOT_RC_OTHER,
+ (bst->p == 0.5
+ ? N_("Exact Sig. (2-tailed)")
+ : N_("Exact Sig. (1-tailed)")), PIVOT_RC_SIGNIFICANCE);
+
+ pivot_dimension_create (table, PIVOT_AXIS_ROW, N_("Groups"),
+ N_("Group 1"), N_("Group 2"), N_("Total"));
+
+ struct pivot_dimension *variables = pivot_dimension_create (
+ table, PIVOT_AXIS_ROW, N_("Variables"));
+
+ for (size_t v = 0; v < ost->n_vars; ++v)
{
- double n_total, sig;
- struct string catstr[2];
const struct variable *var = ost->vars[v];
- ds_init_empty (&catstr[0]);
- ds_init_empty (&catstr[1]);
+ int var_idx = pivot_category_create_leaf (
+ variables->root, pivot_value_new_variable (var));
- if ( bst->cutpoint != SYSMIS)
- {
- ds_put_format (&catstr[0], "<= %g", bst->cutpoint);
- }
+ /* Category. */
+ if (bst->cutpoint != SYSMIS)
+ pivot_table_put3 (
+ table, 0, 0, var_idx,
+ pivot_value_new_user_text_nocopy (
+ xasprintf ("<= %.*g", DBL_DIG + 1, bst->cutpoint)));
else
+ for (int i = 0; i < 2; i++)
+ pivot_table_put3 (
+ table, 0, i, var_idx,
+ pivot_value_new_var_value (var, cat[i][v].values));
+
+ double n_total = cat[0][v].count + cat[1][v].count;
+ double sig = calculate_binomial (cat[0][v].count, cat[1][v].count,
+ bst->p);
+ struct entry
{
- var_append_value_name (var, &cat[0][v].value, &catstr[0]);
- var_append_value_name (var, &cat[1][v].value, &catstr[1]);
+ int stat_idx;
+ int group_idx;
+ double x;
+ }
+ entries[] = {
+ /* N. */
+ { 1, 0, cat[0][v].count },
+ { 1, 1, cat[1][v].count },
+ { 1, 2, n_total },
+ /* Observed Prop. */
+ { 2, 0, cat[0][v].count / n_total },
+ { 2, 1, cat[1][v].count / n_total },
+ { 2, 2, 1.0 },
+ /* Test Prop. */
+ { 3, 0, bst->p },
+ /* Significance. */
+ { 4, 0, sig }
+ };
+ for (size_t i = 0; i < sizeof entries / sizeof *entries; i++)
+ {
+ const struct entry *e = &entries[i];
+ pivot_table_put3 (table, e->stat_idx, e->group_idx,
+ var_idx, pivot_value_new_number (e->x));
}
-
- 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);
+ pivot_table_submit (table);
}
for (i = 0; i < 2; i++)
projects / pspp / blobdiff