1 /* Pspp - a program for statistical analysis.
2 Copyright (C) 2010 Free Software Foundation, Inc.
4 This program is free software: you can redistribute it and/or modify
5 it under the terms of the GNU General Public License as published by
6 the Free Software Foundation, either version 3 of the License, or
7 (at your option) any later version.
9 This program is distributed in the hope that it will be useful,
10 but WITHOUT ANY WARRANTY; without even the implied warranty of
11 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 GNU General Public License for more details.
14 You should have received a copy of the GNU General Public License
15 along with this program. If not, see <http://www.gnu.org/licenses/>. */
20 #include "kruskal-wallis.h"
22 #include <gsl/gsl_cdf.h>
25 #include <data/casereader.h>
26 #include <data/casewriter.h>
27 #include <data/dictionary.h>
28 #include <data/format.h>
29 #include <data/procedure.h>
30 #include <data/subcase.h>
31 #include <data/variable.h>
33 #include <libpspp/assertion.h>
34 #include <libpspp/message.h>
35 #include <libpspp/misc.h>
36 #include <libpspp/hmap.h>
37 #include <math/sort.h>
44 /* Returns true iff the independent variable lies in the range [nst->val1, nst->val2] */
46 include_func (const struct ccase *c, void *aux)
48 const struct n_sample_test *nst = aux;
50 if (0 < value_compare_3way (&nst->val1, case_data (c, nst->indep_var), var_get_width (nst->indep_var)))
53 if (0 > value_compare_3way (&nst->val2, case_data (c, nst->indep_var), var_get_width (nst->indep_var)))
62 struct hmap_node node;
69 /* Return the entry with the key GROUP or null if there is no such entry */
70 static struct rank_entry *
71 find_rank_entry (const struct hmap *map, const union value *group, size_t width)
73 struct rank_entry *re = NULL;
74 size_t hash = value_hash (group, width, 0);
76 HMAP_FOR_EACH_WITH_HASH (re, struct rank_entry, node, hash, map)
78 if (0 == value_compare_3way (group, &re->group, width))
85 /* Calculates the adjustment necessary for tie compensation */
87 distinct_callback (double v UNUSED, casenumber t, double w UNUSED, void *aux)
89 double *tiebreaker = aux;
91 *tiebreaker += pow3 (t) - t;
101 static void show_ranks_box (const struct n_sample_test *nst, const struct kw *kw, int n_groups);
102 static void show_sig_box (const struct n_sample_test *nst, const struct kw *kw);
105 kruskal_wallis_execute (const struct dataset *ds,
106 struct casereader *input,
107 enum mv_class exclude,
108 const struct npar_test *test,
115 const struct dictionary *dict = dataset_dict (ds);
116 const struct n_sample_test *nst = UP_CAST (test, const struct n_sample_test, parent);
117 const struct caseproto *proto ;
120 int total_n_groups = 0.0;
122 struct kw *kw = xcalloc (nst->n_vars, sizeof *kw);
124 /* If the independent variable is missing, then we ignore the case */
125 input = casereader_create_filter_missing (input,
130 input = casereader_create_filter_weight (input, dict, &warn, NULL);
132 /* Remove all those cases which are outside the range (val1, val2) */
133 input = casereader_create_filter_func (input, include_func, NULL,
134 CONST_CAST (struct n_sample_test *, nst), NULL);
136 proto = casereader_get_proto (input);
137 rank_idx = caseproto_get_n_widths (proto);
139 /* Rank cases by the v value */
140 for (i = 0; i < nst->n_vars; ++i)
142 double tiebreaker = 0.0;
144 enum rank_error rerr = 0;
145 struct casereader *rr;
146 struct casereader *r = casereader_clone (input);
148 r = sort_execute_1var (r, nst->vars[i]);
150 /* Ignore missings in the test variable */
151 r = casereader_create_filter_missing (r, &nst->vars[i], 1,
155 rr = casereader_create_append_rank (r,
157 dict_get_weight (dict),
159 distinct_callback, &tiebreaker);
161 hmap_init (&kw[i].map);
162 for (; (c = casereader_read (rr)); case_unref (c))
164 const union value *group = case_data (c, nst->indep_var);
165 const size_t group_var_width = var_get_width (nst->indep_var);
166 struct rank_entry *rank = find_rank_entry (&kw[i].map, group, group_var_width);
170 rank = xzalloc (sizeof *rank);
171 value_clone (&rank->group, group, group_var_width);
173 hmap_insert (&kw[i].map, &rank->node,
174 value_hash (&rank->group, group_var_width, 0));
177 rank->sum_of_ranks += case_data_idx (c, rank_idx)->f;
178 rank->n += dict_get_case_weight (dict, c, &warn);
180 /* If this assertion fires, then either the data wasn't sorted or some other
185 casereader_destroy (rr);
187 /* Calculate the value of h */
189 struct rank_entry *mre;
192 HMAP_FOR_EACH (mre, struct rank_entry, node, &kw[i].map)
194 kw[i].h += pow2 (mre->sum_of_ranks) / mre->n;
199 kw[i].h *= 12 / (n * ( n + 1));
200 kw[i].h -= 3 * (n + 1) ;
202 kw[i].h /= 1 - tiebreaker/ (pow3 (n) - n);
206 casereader_destroy (input);
208 show_ranks_box (nst, kw, total_n_groups);
209 show_sig_box (nst, kw);
211 /* Cleanup allocated memory */
212 for (i = 0 ; i < nst->n_vars; ++i)
214 struct rank_entry *mre, *next;
215 HMAP_FOR_EACH_SAFE (mre, next, struct rank_entry, node, &kw[i].map)
217 hmap_delete (&kw[i].map, &mre->node);
220 hmap_destroy (&kw[i].map);
227 #include <output/tab.h>
229 #define _(msgid) gettext (msgid)
233 show_ranks_box (const struct n_sample_test *nst, const struct kw *kw, int n_groups)
237 const int row_headers = 2;
238 const int column_headers = 1;
239 struct tab_table *table =
240 tab_create (row_headers + 2, column_headers + n_groups + nst->n_vars);
242 tab_headers (table, row_headers, 0, column_headers, 0);
244 tab_title (table, _("Ranks"));
246 /* Vertical lines inside the box */
247 tab_box (table, 1, 0, -1, TAL_1,
248 row_headers, 0, tab_nc (table) - 1, tab_nr (table) - 1 );
250 /* Box around the table */
251 tab_box (table, TAL_2, TAL_2, -1, -1,
252 0, 0, tab_nc (table) - 1, tab_nr (table) - 1 );
254 tab_text (table, 1, 0, TAT_TITLE,
255 var_to_string (nst->indep_var)
258 tab_text (table, 3, 0, 0, _("Mean Rank"));
259 tab_text (table, 2, 0, 0, _("N"));
261 tab_hline (table, TAL_2, 0, tab_nc (table) -1, column_headers);
262 tab_vline (table, TAL_2, row_headers, 0, tab_nr (table) - 1);
265 row = column_headers;
266 for (i = 0 ; i < nst->n_vars ; ++i)
269 const struct rank_entry *re;
272 tab_hline (table, TAL_1, 0, tab_nc (table) -1, row);
274 tab_text (table, 0, row,
275 TAT_TITLE, var_to_string (nst->vars[i]));
277 HMAP_FOR_EACH (re, const struct rank_entry, node, &kw[i].map)
280 ds_init_empty (&str);
282 var_append_value_name (nst->indep_var, &re->group, &str);
284 tab_text (table, 1, row, TAB_LEFT, ds_cstr (&str));
285 tab_double (table, 2, row, TAB_LEFT, re->n, &F_8_0);
286 tab_double (table, 3, row, TAB_LEFT, re->sum_of_ranks / re->n, 0);
292 tab_double (table, 2, row, TAB_LEFT,
294 tab_text (table, 1, row++, TAB_LEFT, _("Total"));
302 show_sig_box (const struct n_sample_test *nst, const struct kw *kw)
305 const int row_headers = 1;
306 const int column_headers = 1;
307 struct tab_table *table =
308 tab_create (row_headers + nst->n_vars * 2, column_headers + 3);
310 tab_headers (table, row_headers, 0, column_headers, 0);
312 tab_title (table, _("Test Statistics"));
314 tab_text (table, 0, column_headers,
315 TAT_TITLE | TAB_LEFT , _("Chi-Square"));
317 tab_text (table, 0, 1 + column_headers,
318 TAT_TITLE | TAB_LEFT, _("df"));
320 tab_text (table, 0, 2 + column_headers,
321 TAT_TITLE | TAB_LEFT, _("Asymp. Sig."));
323 /* Box around the table */
324 tab_box (table, TAL_2, TAL_2, -1, -1,
325 0, 0, tab_nc (table) - 1, tab_nr (table) - 1 );
328 tab_hline (table, TAL_2, 0, tab_nc (table) -1, column_headers);
329 tab_vline (table, TAL_2, row_headers, 0, tab_nr (table) - 1);
331 for (i = 0 ; i < nst->n_vars; ++i)
333 const double df = hmap_count (&kw[i].map) - 1;
334 tab_text (table, column_headers + 1 + i, 0, TAT_TITLE,
335 var_to_string (nst->vars[i])
338 tab_double (table, column_headers + 1 + i, 1, 0,
341 tab_double (table, column_headers + 1 + i, 2, 0,
344 tab_double (table, column_headers + 1 + i, 3, 0,
345 gsl_cdf_chisq_Q (kw[i].h, df),