--- /dev/null
+/* PSPP - a program for statistical analysis.
+ Copyright (C) 2008 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 "xalloc.h"
+#include "xmalloca.h"
+
+#include "gettext.h"
+#define _(msgid) gettext (msgid)
+#define N_(msgid) msgid
+
+#include <data/variable.h>
+#include <data/dictionary.h>
+#include <data/procedure.h>
+#include <data/casereader.h>
+#include <data/casegrouper.h>
+#include <math/moments.h>
+#include <data/case.h>
+
+#include <language/command.h>
+
+#include <output/manager.h>
+#include <output/table.h>
+
+/* (headers) */
+
+/* (specification)
+ reliability (rel_):
+ *^variables=varlist("PV_NO_SCRATCH | PV_NUMERIC");
+ scale=custom;
+ missing=miss:!exclude/include;
+ model=custom;
+ method=covariance;
+ +summary[sum_]=total.
+*/
+/* (declarations) */
+/* (functions) */
+
+
+static int rel_custom_scale (struct lexer *lexer, struct dataset *ds,
+ struct cmd_reliability *p, void *aux);
+
+static int rel_custom_model (struct lexer *, struct dataset *,
+ struct cmd_reliability *, void *);
+
+int cmd_reliability (struct lexer *lexer, struct dataset *ds);
+
+struct cronbach
+{
+ const struct variable **items;
+ size_t n_items;
+ double alpha;
+ double sum_of_variances;
+ double variance_of_sums;
+ int totals_idx; /* Casereader index into the totals */
+
+ struct moments1 **m ; /* Moments of the items */
+ struct moments1 *total ; /* Moments of the totals */
+};
+
+#if 0
+static void
+dump_cronbach (const struct cronbach *s)
+{
+ int i;
+ printf ("N items %d\n", s->n_items);
+ for (i = 0 ; i < s->n_items; ++i)
+ {
+ printf ("%s\n", var_get_name (s->items[i]));
+ }
+
+ printf ("Totals idx %d\n", s->totals_idx);
+
+ printf ("scale variance %g\n", s->variance_of_sums);
+ printf ("alpha %g\n", s->alpha);
+ putchar ('\n');
+}
+#endif
+
+enum model
+ {
+ MODEL_ALPHA,
+ MODEL_SPLIT
+ };
+
+
+struct reliability
+{
+ const struct variable **variables;
+ int n_variables;
+ enum mv_class exclude;
+
+ struct cronbach *sc;
+ int n_sc;
+
+ int total_start;
+
+ struct string scale_name;
+
+ enum model model;
+ int split_point;
+};
+
+
+static double
+alpha (int k, double sum_of_variances, double variance_of_sums)
+{
+ return k / ( k - 1.0) * ( 1 - sum_of_variances / variance_of_sums);
+}
+
+static void reliability_summary_total (const struct reliability *rel);
+
+static void reliability_statistics (const struct reliability *rel);
+
+
+
+static void
+run_reliability (struct casereader *group, struct dataset *ds,
+ struct reliability *rel);
+
+
+int
+cmd_reliability (struct lexer *lexer, struct dataset *ds)
+{
+ int i;
+ bool ok = false;
+ struct casegrouper *grouper;
+ struct casereader *group;
+ struct cmd_reliability cmd;
+
+ struct reliability rel = {
+ NULL, 0, MV_ANY, NULL, 0, -1,
+ DS_EMPTY_INITIALIZER,
+ MODEL_ALPHA, 0};
+
+ cmd.v_variables = NULL;
+
+ if ( ! parse_reliability (lexer, ds, &cmd, &rel) )
+ {
+ goto done;
+ }
+
+ rel.variables = cmd.v_variables;
+ rel.n_variables = cmd.n_variables;
+ rel.exclude = MV_ANY;
+
+
+ if (NULL == rel.sc)
+ {
+ struct cronbach *c;
+ /* Create a default Scale */
+
+ rel.n_sc = 1;
+ rel.sc = xzalloc (sizeof (struct cronbach) * rel.n_sc);
+
+ ds_init_cstr (&rel.scale_name, "ANY");
+
+ c = &rel.sc[0];
+ c->n_items = cmd.n_variables;
+ c->items = xzalloc (sizeof (struct variable*) * c->n_items);
+
+ for (i = 0 ; i < c->n_items ; ++i)
+ c->items[i] = cmd.v_variables[i];
+ }
+
+ if ( cmd.miss == REL_INCLUDE)
+ rel.exclude = MV_SYSTEM;
+
+ if ( rel.model == MODEL_SPLIT)
+ {
+ int i;
+ const struct cronbach *s;
+
+ rel.n_sc += 2 ;
+ rel.sc = xrealloc (rel.sc, sizeof (struct cronbach) * rel.n_sc);
+
+ s = &rel.sc[0];
+
+ rel.sc[1].n_items =
+ (rel.split_point == -1) ? s->n_items / 2 : rel.split_point;
+
+ rel.sc[2].n_items = s->n_items - rel.sc[1].n_items;
+ rel.sc[1].items = xzalloc (sizeof (struct variable *)
+ * rel.sc[1].n_items);
+
+ rel.sc[2].items = xzalloc (sizeof (struct variable *) *
+ rel.sc[2].n_items);
+
+ for (i = 0; i < rel.sc[1].n_items ; ++i)
+ rel.sc[1].items[i] = s->items[i];
+
+ while (i < s->n_items)
+ {
+ rel.sc[2].items[i - rel.sc[1].n_items] = s->items[i];
+ i++;
+ }
+ }
+
+ if (cmd.a_summary[REL_SUM_TOTAL])
+ {
+ int i;
+ const int base_sc = rel.n_sc;
+
+ rel.total_start = base_sc;
+
+ rel.n_sc += rel.sc[0].n_items ;
+ rel.sc = xrealloc (rel.sc, sizeof (struct cronbach) * rel.n_sc);
+
+ for (i = 0 ; i < rel.sc[0].n_items; ++i )
+ {
+ int v_src;
+ int v_dest = 0;
+ struct cronbach *s = &rel.sc[i + base_sc];
+
+ s->n_items = rel.sc[0].n_items - 1;
+ s->items = xzalloc (sizeof (struct variable *) * s->n_items);
+ for (v_src = 0 ; v_src < rel.sc[0].n_items ; ++v_src)
+ {
+ if ( v_src != i)
+ s->items[v_dest++] = rel.sc[0].items[v_src];
+ }
+ }
+ }
+
+ /* Data pass. */
+ grouper = casegrouper_create_splits (proc_open (ds), dataset_dict (ds));
+ while (casegrouper_get_next_group (grouper, &group))
+ {
+ run_reliability (group, ds, &rel);
+
+ reliability_statistics (&rel);
+
+ if (cmd.a_summary[REL_SUM_TOTAL])
+ reliability_summary_total (&rel);
+ }
+ ok = casegrouper_destroy (grouper);
+ ok = proc_commit (ds) && ok;
+
+ free_reliability (&cmd);
+
+ done:
+
+ /* Free all the stuff */
+ for (i = 0 ; i < rel.n_sc; ++i)
+ {
+ int x;
+ struct cronbach *c = &rel.sc[i];
+ free (c->items);
+
+ moments1_destroy (c->total);
+ for (x = 0 ; x < c->n_items; ++x)
+ moments1_destroy (c->m[x]);
+ free (c->m);
+ }
+
+ ds_destroy (&rel.scale_name);
+ free (rel.sc);
+
+ if (ok)
+ return CMD_SUCCESS;
+
+ return CMD_FAILURE;
+}
+
+/* Return the sum of all the item variables in S */
+static double
+append_sum (const struct ccase *c, casenumber n UNUSED, void *aux)
+{
+ double sum = 0;
+ const struct cronbach *s = aux;
+
+ int v;
+ for (v = 0 ; v < s->n_items; ++v)
+ {
+ sum += case_data (c, s->items[v])->f;
+ }
+
+ return sum;
+};
+
+
+static void case_processing_summary (casenumber n_valid, casenumber n_missing);
+
+static void
+run_reliability (struct casereader *input, struct dataset *ds UNUSED,
+ struct reliability *rel)
+{
+ int i;
+ int si;
+ struct ccase c;
+ casenumber n_missing ;
+ casenumber n_valid = 0;
+
+
+ for (si = 0 ; si < rel->n_sc; ++si)
+ {
+ struct cronbach *s = &rel->sc[si];
+
+ s->m = xzalloc (sizeof (s->m) * s->n_items);
+ s->total = moments1_create (MOMENT_VARIANCE);
+
+ for (i = 0 ; i < s->n_items ; ++i )
+ s->m[i] = moments1_create (MOMENT_VARIANCE);
+ }
+
+ input = casereader_create_filter_missing (input,
+ rel->variables,
+ rel->n_variables,
+ rel->exclude,
+ &n_missing,
+ NULL);
+
+ for (si = 0 ; si < rel->n_sc; ++si)
+ {
+ struct cronbach *s = &rel->sc[si];
+
+
+ s->totals_idx = casereader_get_value_cnt (input);
+ input =
+ casereader_create_append_numeric (input, append_sum,
+ s, NULL);
+ }
+
+ for (; casereader_read (input, &c); case_destroy (&c))
+ {
+ double weight = 1.0;
+ n_valid ++;
+
+ for (si = 0; si < rel->n_sc; ++si)
+ {
+ struct cronbach *s = &rel->sc[si];
+
+ for (i = 0 ; i < s->n_items ; ++i )
+ moments1_add (s->m[i], case_data (&c, s->items[i])->f, weight);
+
+ moments1_add (s->total, case_data_idx (&c, s->totals_idx)->f, weight);
+ }
+ }
+ casereader_destroy (input);
+
+ for (si = 0; si < rel->n_sc; ++si)
+ {
+ struct cronbach *s = &rel->sc[si];
+
+ s->sum_of_variances = 0;
+ for (i = 0 ; i < s->n_items ; ++i )
+ {
+ double weight, mean, variance;
+ moments1_calculate (s->m[i], &weight, &mean, &variance, NULL, NULL);
+
+ s->sum_of_variances += variance;
+ }
+
+ moments1_calculate (s->total, NULL, NULL, &s->variance_of_sums,
+ NULL, NULL);
+
+ s->alpha =
+ alpha (s->n_items, s->sum_of_variances, s->variance_of_sums);
+ }
+
+
+ {
+ struct tab_table *tab = tab_create(1, 1, 0);
+
+ tab_dim (tab, tab_natural_dimensions);
+ tab_flags (tab, SOMF_NO_TITLE );
+
+ tab_text(tab, 0, 0, TAT_PRINTF, "Scale: %s", ds_cstr (&rel->scale_name));
+
+ tab_submit(tab);
+ }
+
+
+ case_processing_summary (n_valid, n_missing);
+}
+
+
+static void reliability_statistics_model_alpha (struct tab_table *tbl,
+ const struct reliability *rel);
+
+static void reliability_statistics_model_split (struct tab_table *tbl,
+ const struct reliability *rel);
+
+struct reliability_output_table
+{
+ int n_cols;
+ int n_rows;
+ int heading_cols;
+ int heading_rows;
+ void (*populate)(struct tab_table *, const struct reliability *);
+};
+
+static struct reliability_output_table rol[2] =
+ {
+ { 2, 2, 1, 1, reliability_statistics_model_alpha},
+ { 4, 9, 3, 0, reliability_statistics_model_split}
+ };
+
+static void
+reliability_statistics (const struct reliability *rel)
+{
+ int n_cols = rol[rel->model].n_cols;
+ int n_rows = rol[rel->model].n_rows;
+ int heading_columns = rol[rel->model].heading_cols;
+ int heading_rows = rol[rel->model].heading_rows;
+
+ struct tab_table *tbl = tab_create (n_cols, n_rows, 0);
+ tab_headers (tbl, heading_columns, 0, heading_rows, 0);
+
+ tab_dim (tbl, tab_natural_dimensions);
+
+ tab_title (tbl, _("Reliability Statistics"));
+
+ /* Vertical lines for the data only */
+ tab_box (tbl,
+ -1, -1,
+ -1, TAL_1,
+ heading_columns, 0,
+ n_cols - 1, n_rows - 1);
+
+ /* Box around table */
+ tab_box (tbl,
+ TAL_2, TAL_2,
+ -1, -1,
+ 0, 0,
+ n_cols - 1, n_rows - 1);
+
+
+ tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
+
+ tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
+
+ if ( rel->model == MODEL_ALPHA )
+ reliability_statistics_model_alpha (tbl, rel);
+ else if (rel->model == MODEL_SPLIT )
+ reliability_statistics_model_split (tbl, rel);
+
+ tab_submit (tbl);
+}
+
+static void
+reliability_summary_total (const struct reliability *rel)
+{
+ int i;
+ const int n_cols = 5;
+ const int heading_columns = 1;
+ const int heading_rows = 1;
+ const int n_rows = rel->sc[0].n_items + heading_rows ;
+
+ struct tab_table *tbl = tab_create (n_cols, n_rows, 0);
+ tab_headers (tbl, heading_columns, 0, heading_rows, 0);
+
+ tab_dim (tbl, tab_natural_dimensions);
+
+ tab_title (tbl, _("Item-Total Statistics"));
+
+ /* Vertical lines for the data only */
+ tab_box (tbl,
+ -1, -1,
+ -1, TAL_1,
+ heading_columns, 0,
+ n_cols - 1, n_rows - 1);
+
+ /* Box around table */
+ tab_box (tbl,
+ TAL_2, TAL_2,
+ -1, -1,
+ 0, 0,
+ n_cols - 1, n_rows - 1);
+
+
+ tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
+
+ tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
+
+ tab_text (tbl, 1, 0, TAB_CENTER | TAT_TITLE,
+ _("Scale Mean if Item Deleted"));
+
+ tab_text (tbl, 2, 0, TAB_CENTER | TAT_TITLE,
+ _("Scale Variance if Item Deleted"));
+
+ tab_text (tbl, 3, 0, TAB_CENTER | TAT_TITLE,
+ _("Corrected Item-Total Correlation"));
+
+ tab_text (tbl, 4, 0, TAB_CENTER | TAT_TITLE,
+ _("Cronbach's Alpha if Item Deleted"));
+
+
+ for (i = 0 ; i < rel->sc[0].n_items; ++i)
+ {
+ double cov, item_to_total_r;
+ double mean, weight, var;
+
+ const struct cronbach *s = &rel->sc[rel->total_start + i];
+ tab_text (tbl, 0, heading_rows + i, TAB_LEFT| TAT_TITLE,
+ var_to_string (rel->sc[0].items[i]));
+
+ moments1_calculate (s->total, &weight, &mean, &var, 0, 0);
+
+ tab_float (tbl, 1, heading_rows + i, TAB_RIGHT,
+ mean, 8, 3);
+
+ tab_float (tbl, 2, heading_rows + i, TAB_RIGHT,
+ s->variance_of_sums, 8, 3);
+
+ tab_float (tbl, 4, heading_rows + i, TAB_RIGHT,
+ s->alpha, 8, 3);
+
+
+ moments1_calculate (rel->sc[0].m[i], &weight, &mean, &var, 0,0);
+ cov = rel->sc[0].variance_of_sums + var - s->variance_of_sums;
+ cov /= 2.0;
+
+ item_to_total_r = (cov - var) / (sqrt(var) * sqrt (s->variance_of_sums));
+
+
+ tab_float (tbl, 3, heading_rows + i, TAB_RIGHT,
+ item_to_total_r, 8, 3);
+ }
+
+
+ tab_submit (tbl);
+}
+
+
+static void
+reliability_statistics_model_alpha (struct tab_table *tbl,
+ const struct reliability *rel)
+{
+ const struct cronbach *s = &rel->sc[0];
+
+ tab_text (tbl, 0, 0, TAB_CENTER | TAT_TITLE,
+ _("Cronbach's Alpha"));
+
+ tab_text (tbl, 1, 0, TAB_CENTER | TAT_TITLE,
+ _("N of items"));
+
+ tab_float (tbl, 0, 1, TAB_RIGHT, s->alpha, 8, 3);
+
+ tab_float (tbl, 1, 1, TAB_RIGHT, s->n_items, 8, 0);
+}
+
+
+static void
+reliability_statistics_model_split (struct tab_table *tbl,
+ const struct reliability *rel)
+{
+ tab_text (tbl, 0, 0, TAB_LEFT,
+ _("Cronbach's Alpha"));
+
+ tab_text (tbl, 1, 0, TAB_LEFT,
+ _("Part 1"));
+
+ tab_text (tbl, 2, 0, TAB_LEFT,
+ _("Value"));
+
+ tab_text (tbl, 2, 1, TAB_LEFT,
+ _("N of Items"));
+
+
+
+ tab_text (tbl, 1, 2, TAB_LEFT,
+ _("Part 2"));
+
+ tab_text (tbl, 2, 2, TAB_LEFT,
+ _("Value"));
+
+ tab_text (tbl, 2, 3, TAB_LEFT,
+ _("N of Items"));
+
+
+
+ tab_text (tbl, 1, 4, TAB_LEFT,
+ _("Total N of Items"));
+
+ tab_text (tbl, 0, 5, TAB_LEFT,
+ _("Correlation Between Forms"));
+
+
+ tab_text (tbl, 0, 6, TAB_LEFT,
+ _("Spearman-Brown Coefficient"));
+
+ tab_text (tbl, 1, 6, TAB_LEFT,
+ _("Equal Length"));
+
+ tab_text (tbl, 1, 7, TAB_LEFT,
+ _("Unequal Length"));
+
+
+ tab_text (tbl, 0, 8, TAB_LEFT,
+ _("Guttman Split-Half Coefficient"));
+
+
+
+ tab_float (tbl, 3, 0, TAB_RIGHT, rel->sc[1].alpha, 8, 3);
+ tab_float (tbl, 3, 2, TAB_RIGHT, rel->sc[2].alpha, 8, 3);
+
+ tab_float (tbl, 3, 1, TAB_RIGHT, rel->sc[1].n_items, 8, 0);
+ tab_float (tbl, 3, 3, TAB_RIGHT, rel->sc[2].n_items, 8, 0);
+
+ tab_float (tbl, 3, 4, TAB_RIGHT,
+ rel->sc[1].n_items + rel->sc[2].n_items, 8, 0);
+
+ {
+ /* R is the correlation between the two parts */
+ double r = rel->sc[0].variance_of_sums -
+ rel->sc[1].variance_of_sums -
+ rel->sc[2].variance_of_sums ;
+
+ /* Guttman Split Half Coefficient */
+ double g = 2 * r / rel->sc[0].variance_of_sums;
+
+ /* Unequal Length Spearman Brown Coefficient, and
+ intermediate value used in the computation thereof */
+ double uly, tmp;
+
+ r /= sqrt (rel->sc[1].variance_of_sums);
+ r /= sqrt (rel->sc[2].variance_of_sums);
+ r /= 2.0;
+
+ tab_float (tbl, 3, 5, TAB_RIGHT, r, 8, 3);
+
+ /* Equal length Spearman-Brown Coefficient */
+ tab_float (tbl, 3, 6, TAB_RIGHT, 2 * r / (1.0 + r), 8, 3);
+
+ tab_float (tbl, 3, 8, TAB_RIGHT, g, 8, 3);
+
+ tmp = (1.0 - r*r) * rel->sc[1].n_items * rel->sc[2].n_items /
+ pow2 (rel->sc[0].n_items);
+
+ uly = sqrt( pow4 (r) + 4 * pow2 (r) * tmp);
+ uly -= pow2 (r);
+ uly /= 2 * tmp;
+
+ tab_float (tbl, 3, 7, TAB_RIGHT, uly, 8, 3);
+
+ }
+}
+
+
+
+static void
+case_processing_summary (casenumber n_valid, casenumber n_missing)
+{
+ casenumber total;
+ int n_cols = 4;
+ int n_rows = 4;
+ int heading_columns = 2;
+ int heading_rows = 1;
+ struct tab_table *tbl;
+ tbl = tab_create (n_cols, n_rows, 0);
+ tab_headers (tbl, heading_columns, 0, heading_rows, 0);
+
+ tab_dim (tbl, tab_natural_dimensions);
+
+ tab_title (tbl, _("Case Processing Summary"));
+
+ /* Vertical lines for the data only */
+ tab_box (tbl,
+ -1, -1,
+ -1, TAL_1,
+ heading_columns, 0,
+ n_cols - 1, n_rows - 1);
+
+ /* Box around table */
+ tab_box (tbl,
+ TAL_2, TAL_2,
+ -1, -1,
+ 0, 0,
+ n_cols - 1, n_rows - 1);
+
+
+ tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
+
+ tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
+
+
+ tab_text (tbl, 0, heading_rows, TAB_LEFT | TAT_TITLE,
+ _("Cases"));
+
+ tab_text (tbl, 1, heading_rows, TAB_LEFT | TAT_TITLE,
+ _("Valid"));
+
+ tab_text (tbl, 1, heading_rows + 1, TAB_LEFT | TAT_TITLE,
+ _("Excluded"));
+
+ tab_text (tbl, 1, heading_rows + 2, TAB_LEFT | TAT_TITLE,
+ _("Total"));
+
+ tab_text (tbl, heading_columns, 0, TAB_CENTER | TAT_TITLE,
+ _("N"));
+
+ tab_text (tbl, heading_columns + 1, 0, TAB_CENTER | TAT_TITLE | TAT_PRINTF,
+ _("%%"));
+
+ total = n_missing + n_valid;
+
+ tab_float (tbl, 2, heading_rows, TAB_RIGHT,
+ n_valid, 8, 0);
+
+
+ tab_float (tbl, 2, heading_rows + 1, TAB_RIGHT,
+ n_missing, 8, 0);
+
+
+ tab_float (tbl, 2, heading_rows + 2, TAB_RIGHT,
+ total, 8, 0);
+
+
+ tab_float (tbl, 3, heading_rows, TAB_RIGHT,
+ 100 * n_valid / (double) total, 8, 1);
+
+
+ tab_float (tbl, 3, heading_rows + 1, TAB_RIGHT,
+ 100 * n_missing / (double) total, 8, 1);
+
+
+ tab_float (tbl, 3, heading_rows + 2, TAB_RIGHT,
+ 100 * total / (double) total, 8, 1);
+
+
+ tab_submit (tbl);
+}
+
+static int
+rel_custom_model (struct lexer *lexer, struct dataset *ds UNUSED,
+ struct cmd_reliability *cmd UNUSED, void *aux)
+{
+ struct reliability *rel = aux;
+
+ if (lex_match_id (lexer, "ALPHA"))
+ {
+ rel->model = MODEL_ALPHA;
+ }
+ else if (lex_match_id (lexer, "SPLIT"))
+ {
+ rel->model = MODEL_SPLIT;
+ rel->split_point = -1;
+ if ( lex_match (lexer, '('))
+ {
+ lex_force_num (lexer);
+ rel->split_point = lex_number (lexer);
+ lex_get (lexer);
+ lex_force_match (lexer, ')');
+ }
+ }
+ else
+ return 0;
+
+ return 1;
+}
+
+
+
+static int
+rel_custom_scale (struct lexer *lexer, struct dataset *ds UNUSED,
+ struct cmd_reliability *p, void *aux)
+{
+ struct const_var_set *vs;
+ struct reliability *rel = aux;
+ struct cronbach *scale;
+
+ rel->n_sc = 1;
+ rel->sc = xzalloc (sizeof (struct cronbach) * rel->n_sc);
+ scale = &rel->sc[0];
+
+ if ( ! lex_force_match (lexer, '(')) return 0;
+
+ if ( ! lex_force_string (lexer) ) return 0;
+
+ ds_init_string (&rel->scale_name, lex_tokstr (lexer));
+
+ lex_get (lexer);
+
+ if ( ! lex_force_match (lexer, ')')) return 0;
+
+ lex_match (lexer, '=');
+
+ vs = const_var_set_create_from_array (p->v_variables, p->n_variables);
+
+ if (!parse_const_var_set_vars (lexer, vs, &scale->items, &scale->n_items, 0))
+ {
+ const_var_set_destroy (vs);
+ return 2;
+ }
+
+ const_var_set_destroy (vs);
+ return 1;
+}
+
+/*
+ Local Variables:
+ mode: c
+ End:
+*/
projects / pspp-builds.git / commitdiff