-/* PSPP - computes sample statistics.
- Copyright (C) 2006 Free Software Foundation, Inc.
+/* 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 <data/format.h>
#include <output/table.h>
#include <data/casereader.h>
#include <libpspp/hash.h>
npar_summary_calc_descriptives (struct descriptives *desc,
struct casereader *input,
const struct dictionary *dict,
- const struct variable *const *vv,
+ const struct variable *const *vv,
int n_vars UNUSED,
enum mv_class filter)
{
double maximum = -DBL_MAX;
double var;
struct moments1 *moments = moments1_create (MOMENT_VARIANCE);
- struct ccase c;
+ struct ccase *c;
const struct variable *v = *vv++;
struct casereader *pass;
pass = casereader_clone (input);
pass = casereader_create_filter_missing (pass,
&v, 1,
- filter, NULL);
+ filter, NULL, NULL);
pass = casereader_create_filter_weight (pass, dict, NULL, NULL);
- while (casereader_read(pass, &c))
+ while ((c = casereader_read (pass)) != NULL)
{
- double val = case_num (&c, v);
- double w = dict_get_case_weight (dict, &c, NULL);
+ double val = case_num (c, v);
+ double w = dict_get_case_weight (dict, c, NULL);
minimum = MIN (minimum, val);
maximum = MAX (maximum, val);
- moments1_add (moments, val, w);
- case_destroy (&c);
+ moments1_add (moments, val, w);
+ case_unref (c);
}
casereader_destroy (pass);
- moments1_calculate (moments,
- &desc[i].n,
- &desc[i].mean,
+ moments1_calculate (moments,
+ &desc[i].n,
+ &desc[i].mean,
&var,
NULL, NULL);
desc[i].std_dev = sqrt (var);
moments1_destroy (moments);
-
+
desc[i].min = minimum;
desc[i].max = maximum;
-
+
i++;
}
casereader_destroy (input);
void
-do_summary_box (const struct descriptives *desc,
+do_summary_box (const struct descriptives *desc,
const struct variable *const *vv,
int n_vars)
{
int columns = 1 ;
struct tab_table *table ;
-
if ( desc ) columns += 5;
if ( quartiles ) columns += 3;
table = tab_create (columns, 2 + n_vars, 0);
- tab_dim (table, tab_natural_dimensions);
+ tab_dim (table, tab_natural_dimensions, NULL);
tab_title (table, _("Descriptive Statistics"));
-
+
tab_headers (table, 1, 0, 1, 0);
- tab_box (table, TAL_1, TAL_1, -1, TAL_1,
+ tab_box (table, TAL_1, TAL_1, -1, TAL_1,
0, 0, table->nc - 1, tab_nr(table) - 1 );
tab_hline (table, TAL_2, 0, tab_nc (table) -1, 2);
tab_vline (table, TAL_2, 1, 0, tab_nr (table) - 1);
col = 1;
- if ( desc )
+ if ( desc )
{
- tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
_("N"));
col++;
- tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
_("Mean"));
col++;
- tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
_("Std. Deviation"));
col++;
- tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
_("Minimum"));
col++;
- tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_joint_text (table, col, 0, col, 1, TAT_TITLE | TAB_CENTER,
_("Maximum"));
col++;
}
- if ( quartiles )
+ if ( quartiles )
{
tab_joint_text (table, col, 0, col + 2, 0, TAT_TITLE | TAB_CENTER,
_("Percentiles"));
tab_hline (table, TAL_1, col, col + 2, 1);
- tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
_("25th"));
col++;
- tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
_("50th (Median)"));
col++;
- tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
+ tab_text (table, col, 1, TAT_TITLE | TAB_CENTER,
_("75th"));
col++;
}
- for ( v = 0 ; v < n_vars ; ++v )
+
+ for ( v = 0 ; v < n_vars ; ++v )
{
- tab_text (table, 0, 2 + v, TAT_NONE, var_to_string (vv[v]));
+ const struct variable *var = vv[v];
+ const struct fmt_spec *fmt = var_get_print_format (var);
+
+ tab_text (table, 0, 2 + v, TAT_NONE, var_to_string (var));
- tab_float (table, 1, 2 + v, TAT_NONE, desc[v].n, 8, 0);
- tab_float (table, 2, 2 + v, TAT_NONE, desc[v].mean, 8, 3);
- tab_float (table, 3, 2 + v, TAT_NONE, desc[v].std_dev, 8, 3);
- tab_float (table, 4, 2 + v, TAT_NONE, desc[v].min, 8, 3);
- tab_float (table, 5, 2 + v, TAT_NONE, desc[v].max, 8, 3);
+ tab_double (table, 1, 2 + v, TAT_NONE, desc[v].n, fmt);
+ tab_double (table, 2, 2 + v, TAT_NONE, desc[v].mean, fmt);
+ tab_double (table, 3, 2 + v, TAT_NONE, desc[v].std_dev, fmt);
+ tab_double (table, 4, 2 + v, TAT_NONE, desc[v].min, fmt);
+ tab_double (table, 5, 2 + v, TAT_NONE, desc[v].max, fmt);
}
projects / pspp-builds.git / blobdiff