+++ /dev/null
-/* PSPP - a program for statistical analysis.
- Copyright (C) 2011 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/>.
-*/
-
-#include <config.h>
-
-
-#include "t-test.h"
-
-#include <math.h>
-#include <gsl/gsl_cdf.h>
-
-#include "data/variable.h"
-#include "data/format.h"
-#include "data/casereader.h"
-#include "data/dictionary.h"
-#include "libpspp/hash-functions.h"
-#include "libpspp/hmapx.h"
-#include "math/moments.h"
-
-#include "output/pivot-table.h"
-
-#include "gettext.h"
-#define N_(msgid) msgid
-#define _(msgid) gettext (msgid)
-
-
-struct per_var_stats
-{
- const struct variable *var;
-
- /* N, Mean, Variance */
- struct moments *mom;
-
- /* Sum of the differences */
- double sum_diff;
-};
-
-
-struct one_samp
-{
- struct per_var_stats *stats;
- size_t n_stats;
- double testval;
-};
-
-
-static void
-one_sample_test (const struct tt *tt, const struct one_samp *os)
-{
- struct pivot_table *table = pivot_table_create (N_("One-Sample Test"));
- pivot_table_set_weight_var (table, tt->wv);
-
- struct pivot_dimension *statistics = pivot_dimension_create (
- table, PIVOT_AXIS_COLUMN, N_("Statistics"));
- struct pivot_category *group = pivot_category_create_group__ (
- statistics->root, pivot_value_new_user_text_nocopy (
- xasprintf (_("Test Value = %.*g"), DBL_DIG + 1, os->testval)));
- pivot_category_create_leaves (
- group,
- N_("t"), PIVOT_RC_OTHER,
- N_("df"), PIVOT_RC_COUNT,
- N_("Sig. (2-tailed)"), PIVOT_RC_SIGNIFICANCE,
- N_("Mean Difference"), PIVOT_RC_OTHER);
- struct pivot_category *subgroup = pivot_category_create_group__ (
- group, pivot_value_new_user_text_nocopy (
- xasprintf (_("%g%% Confidence Interval of the Difference"),
- tt->confidence * 100.0)));
- pivot_category_create_leaves (subgroup,
- N_("Lower"), PIVOT_RC_OTHER,
- N_("Upper"), PIVOT_RC_OTHER);
-
- struct pivot_dimension *dep_vars = pivot_dimension_create (
- table, PIVOT_AXIS_ROW, N_("Dependent Variables"));
-
- for (size_t i = 0; i < os->n_stats; i++)
- {
- const struct per_var_stats *per_var_stats = &os->stats[i];
- const struct moments *m = per_var_stats->mom;
-
- int dep_var_idx = pivot_category_create_leaf (
- dep_vars->root, pivot_value_new_variable (per_var_stats->var));
-
- double cc, mean, sigma;
- moments_calculate (m, &cc, &mean, &sigma, NULL, NULL);
- double tval = (mean - os->testval) * sqrt (cc / sigma);
- double mean_diff = per_var_stats->sum_diff / cc;
- double se_mean = sqrt (sigma / cc);
- double df = cc - 1.0;
- double p = gsl_cdf_tdist_P (tval, df);
- double q = gsl_cdf_tdist_Q (tval, df);
- double sig = 2.0 * (tval > 0 ? q : p);
- double tval_qinv = gsl_cdf_tdist_Qinv ((1.0 - tt->confidence) / 2.0, df);
- double lower = mean_diff - tval_qinv * se_mean;
- double upper = mean_diff + tval_qinv * se_mean;
-
- double entries[] = { tval, df, sig, mean_diff, lower, upper };
- for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
- pivot_table_put2 (table, j, dep_var_idx,
- pivot_value_new_number (entries[j]));
- }
-
- pivot_table_submit (table);
-}
-
-static void
-one_sample_summary (const struct tt *tt, const struct one_samp *os)
-{
- struct pivot_table *table = pivot_table_create (N_("One-Sample Statistics"));
- pivot_table_set_weight_var (table, tt->wv);
-
- pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Statistics"),
- N_("N"), PIVOT_RC_COUNT,
- N_("Mean"), PIVOT_RC_OTHER,
- N_("Std. Deviation"), PIVOT_RC_OTHER,
- N_("S.E. Mean"), PIVOT_RC_OTHER);
-
- struct pivot_dimension *variables = pivot_dimension_create (
- table, PIVOT_AXIS_ROW, N_("Variables"));
-
- for (size_t i = 0; i < os->n_stats; i++)
- {
- const struct per_var_stats *per_var_stats = &os->stats[i];
- const struct moments *m = per_var_stats->mom;
-
- int var_idx = pivot_category_create_leaf (
- variables->root, pivot_value_new_variable (per_var_stats->var));
-
- double cc, mean, sigma;
- moments_calculate (m, &cc, &mean, &sigma, NULL, NULL);
-
- double entries[] = { cc, mean, sqrt (sigma), sqrt (sigma / cc) };
- for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
- pivot_table_put2 (table, j, var_idx,
- pivot_value_new_number (entries[j]));
- }
-
- pivot_table_submit (table);
-}
-
-void
-one_sample_run (const struct tt *tt, double testval, struct casereader *reader)
-{
- struct one_samp os;
- os.testval = testval;
- os.stats = xcalloc (tt->n_vars, sizeof *os.stats);
- os.n_stats = tt->n_vars;
- for (size_t i = 0; i < tt->n_vars; ++i)
- {
- struct per_var_stats *per_var_stats = &os.stats[i];
- per_var_stats->var = tt->vars[i];
- per_var_stats->mom = moments_create (MOMENT_VARIANCE);
- }
-
- struct casereader *r = casereader_clone (reader);
- struct ccase *c;
- for (; (c = casereader_read (r)); case_unref (c))
- {
- double w = dict_get_case_weight (tt->dict, c, NULL);
- for (size_t i = 0; i < os.n_stats; i++)
- {
- const struct per_var_stats *per_var_stats = &os.stats[i];
- const struct variable *var = per_var_stats->var;
- const union value *val = case_data (c, var);
- if (var_is_value_missing (var, val) & tt->exclude)
- continue;
-
- moments_pass_one (per_var_stats->mom, val->f, w);
- }
- }
- casereader_destroy (r);
-
- r = reader;
- for (; (c = casereader_read (r)); case_unref (c))
- {
- double w = dict_get_case_weight (tt->dict, c, NULL);
- for (size_t i = 0; i < os.n_stats; i++)
- {
- struct per_var_stats *per_var_stats = &os.stats[i];
- const struct variable *var = per_var_stats->var;
- const union value *val = case_data (c, var);
- if (var_is_value_missing (var, val) & tt->exclude)
- continue;
-
- moments_pass_two (per_var_stats->mom, val->f, w);
- per_var_stats->sum_diff += w * (val->f - os.testval);
- }
- }
- casereader_destroy (r);
-
- one_sample_summary (tt, &os);
- one_sample_test (tt, &os);
-
- for (size_t i = 0; i < os.n_stats; i++)
- {
- const struct per_var_stats *per_var_stats = &os.stats[i];
- moments_destroy (per_var_stats->mom);
- }
- free (os.stats);
-}
-
projects / pspp / blobdiff