1 /* PSPP - a program for statistical analysis.
2 Copyright (C) 2004, 2008, 2009 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/>. */
19 #include <gsl/gsl_cdf.h>
20 #include <libpspp/message.h>
25 #include <math/sort.h>
26 #include <math/order-stats.h>
27 #include <math/percentiles.h>
28 #include <math/tukey-hinges.h>
29 #include <math/box-whisker.h>
30 #include <math/trimmed-mean.h>
31 #include <math/extrema.h>
33 #include <data/case.h>
34 #include <data/casegrouper.h>
35 #include <data/casereader.h>
36 #include <data/casewriter.h>
37 #include <data/dictionary.h>
38 #include <data/procedure.h>
39 #include <data/subcase.h>
40 #include <data/value-labels.h>
41 #include <data/variable.h>
42 #include <language/command.h>
43 #include <language/dictionary/split-file.h>
44 #include <language/lexer/lexer.h>
45 #include <libpspp/compiler.h>
46 #include <libpspp/hash.h>
47 #include <libpspp/message.h>
48 #include <libpspp/misc.h>
49 #include <libpspp/str.h>
50 #include <math/moments.h>
51 #include <output/charts/box-whisker.h>
52 #include <output/charts/np-plot.h>
53 #include <output/manager.h>
54 #include <output/table.h>
60 #define _(msgid) gettext (msgid)
61 #define N_(msgid) msgid
64 #include <output/chart.h>
65 #include <output/charts/plot-hist.h>
66 #include <output/charts/plot-chart.h>
67 #include <math/histogram.h>
74 missing=miss:pairwise/!listwise,
76 incl:include/!exclude;
77 +compare=cmp:variables/!groups;
80 +plot[plt_]=stemleaf,boxplot,npplot,:spreadlevel(*d:n),histogram,all,none;
82 +statistics[st_]=descriptives,:extreme(*d:n),all,none.
90 static struct cmd_examine cmd;
92 static const struct variable **dependent_vars;
93 static size_t n_dependent_vars;
97 static subc_list_double percentile_list;
98 static enum pc_alg percentile_algorithm;
100 struct factor_metrics
102 struct moments1 *moments;
104 struct percentile **ptl;
107 struct tukey_hinges *tukey_hinges;
108 struct box_whisker *box_whisker;
109 struct trimmed_mean *trimmed_mean;
110 struct histogram *histogram;
113 /* Three quartiles indexing into PTL */
114 struct percentile **quartiles;
116 /* A reader sorted in ASCENDING order */
117 struct casereader *up_reader;
119 /* The minimum value of all the weights */
122 /* Sum of all weights, including those for missing values */
125 /* Sum of weights of non_missing values */
138 struct extrema *minima;
139 struct extrema *maxima;
146 union value value[2];
148 /* An array of factor metrics, one for each variable */
149 struct factor_metrics *metrics;
154 /* We need to make a list of this structure */
157 /* The independent variable */
158 const struct variable const* indep_var[2];
160 /* A list of results for this factor */
161 struct ll_list result_list ;
166 factor_destroy (struct xfactor *fctr)
168 struct ll *ll = ll_head (&fctr->result_list);
169 while (ll != ll_null (&fctr->result_list))
172 struct factor_result *result =
173 ll_data (ll, struct factor_result, ll);
176 for (v = 0; v < n_dependent_vars; ++v)
179 moments1_destroy (result->metrics[v].moments);
180 extrema_destroy (result->metrics[v].minima);
181 extrema_destroy (result->metrics[v].maxima);
182 statistic_destroy (&result->metrics[v].trimmed_mean->parent.parent);
183 statistic_destroy (&result->metrics[v].tukey_hinges->parent.parent);
184 statistic_destroy (&result->metrics[v].box_whisker->parent.parent);
185 statistic_destroy (&result->metrics[v].histogram->parent);
186 for (i = 0 ; i < result->metrics[v].n_ptiles; ++i)
187 statistic_destroy (&result->metrics[v].ptl[i]->parent.parent);
188 free (result->metrics[v].ptl);
189 free (result->metrics[v].quartiles);
190 casereader_destroy (result->metrics[v].up_reader);
193 for (i = 0; i < 2; i++)
194 if (fctr->indep_var[i])
195 value_destroy (&result->value[i],
196 var_get_width (fctr->indep_var[i]));
197 free (result->metrics);
203 static struct xfactor level0_factor;
204 static struct ll_list factor_list;
206 /* Parse the clause specifying the factors */
207 static int examine_parse_independent_vars (struct lexer *lexer,
208 const struct dictionary *dict,
209 struct cmd_examine *cmd);
211 /* Output functions */
212 static void show_summary (const struct variable **dependent_var, int n_dep_var,
213 const struct dictionary *dict,
214 const struct xfactor *f);
217 static void show_descriptives (const struct variable **dependent_var,
219 const struct xfactor *f);
222 static void show_percentiles (const struct variable **dependent_var,
224 const struct xfactor *f);
227 static void show_extremes (const struct variable **dependent_var,
229 const struct xfactor *f);
234 /* Per Split function */
235 static void run_examine (struct cmd_examine *, struct casereader *,
238 static void output_examine (const struct dictionary *dict);
241 void factor_calc (const struct ccase *c, int case_no,
242 double weight, bool case_missing);
245 /* Represent a factor as a string, so it can be
246 printed in a human readable fashion */
247 static void factor_to_string (const struct xfactor *fctr,
248 const struct factor_result *result,
251 /* Represent a factor as a string, so it can be
252 printed in a human readable fashion,
253 but sacrificing some readablility for the sake of brevity */
255 factor_to_string_concise (const struct xfactor *fctr,
256 const struct factor_result *result,
262 /* Categories of missing values to exclude. */
263 static enum mv_class exclude_values;
266 cmd_examine (struct lexer *lexer, struct dataset *ds)
268 struct casegrouper *grouper;
269 struct casereader *group;
272 subc_list_double_create (&percentile_list);
273 percentile_algorithm = PC_HAVERAGE;
275 ll_init (&factor_list);
277 if ( !parse_examine (lexer, ds, &cmd, NULL) )
279 subc_list_double_destroy (&percentile_list);
283 /* If /MISSING=INCLUDE is set, then user missing values are ignored */
284 exclude_values = cmd.incl == XMN_INCLUDE ? MV_SYSTEM : MV_ANY;
286 if ( cmd.st_n == SYSMIS )
289 if ( ! cmd.sbc_cinterval)
290 cmd.n_cinterval[0] = 95.0;
292 /* If descriptives have been requested, make sure the
293 quartiles are calculated */
294 if ( cmd.a_statistics[XMN_ST_DESCRIPTIVES] )
296 subc_list_double_push (&percentile_list, 25);
297 subc_list_double_push (&percentile_list, 50);
298 subc_list_double_push (&percentile_list, 75);
301 grouper = casegrouper_create_splits (proc_open (ds), dataset_dict (ds));
303 while (casegrouper_get_next_group (grouper, &group))
305 struct casereader *reader =
306 casereader_create_arithmetic_sequence (group, 1, 1);
308 run_examine (&cmd, reader, ds);
311 ok = casegrouper_destroy (grouper);
312 ok = proc_commit (ds) && ok;
314 if ( dependent_vars )
315 free (dependent_vars);
317 subc_list_double_destroy (&percentile_list);
319 return ok ? CMD_SUCCESS : CMD_CASCADING_FAILURE;
326 show_npplot (const struct variable **dependent_var,
328 const struct xfactor *fctr)
332 for (v = 0; v < n_dep_var; ++v)
335 for (ll = ll_head (&fctr->result_list);
336 ll != ll_null (&fctr->result_list);
340 const struct factor_result *result =
341 ll_data (ll, struct factor_result, ll);
342 struct chart *npp, *dnpp;
343 struct casereader *reader;
346 ds_init_empty (&label);
347 ds_put_format (&label, "%s ", var_get_name (dependent_var[v]));
348 factor_to_string (fctr, result, &label);
350 np = result->metrics[v].np;
351 reader = casewriter_make_reader (np->writer);
352 npp = np_plot_create (np, reader, ds_cstr (&label));
353 dnpp = dnp_plot_create (np, reader, ds_cstr (&label));
357 if (npp == NULL || dnpp == NULL)
359 msg (MW, _("Not creating NP plot because data set is empty."));
369 statistic_destroy (&np->parent.parent);
376 show_histogram (const struct variable **dependent_var,
378 const struct xfactor *fctr)
382 for (v = 0; v < n_dep_var; ++v)
385 for (ll = ll_head (&fctr->result_list);
386 ll != ll_null (&fctr->result_list);
390 const struct factor_result *result =
391 ll_data (ll, struct factor_result, ll);
392 struct histogram *histogram;
395 histogram = result->metrics[v].histogram;
396 if (histogram == NULL)
398 /* Probably all values are SYSMIS. */
402 ds_init_empty (&str);
403 ds_put_format (&str, "%s ", var_get_name (dependent_var[v]));
405 factor_to_string (fctr, result, &str);
407 moments1_calculate (result->metrics[v].moments,
408 &n, &mean, &var, NULL, NULL);
409 chart_submit (histogram_chart_create (histogram, ds_cstr (&str),
410 n, mean, sqrt (var), false));
420 show_boxplot_groups (const struct variable **dependent_var,
422 const struct xfactor *fctr)
426 for (v = 0; v < n_dep_var; ++v)
428 const struct factor_result *result;
429 struct boxplot *boxplot;
430 double y_min = DBL_MAX;
431 double y_max = -DBL_MAX;
434 ll_for_each (result, struct factor_result, ll, &fctr->result_list)
436 struct factor_metrics *metrics = &result->metrics[v];
437 const struct ll_list *max_list = extrema_list (metrics->maxima);
438 const struct ll_list *min_list = extrema_list (metrics->minima);
439 const struct extremum *max, *min;
441 if ( ll_is_empty (max_list))
443 msg (MW, _("Not creating plot because data set is empty."));
447 max = ll_data (ll_head(max_list), struct extremum, ll);
448 min = ll_data (ll_head (min_list), struct extremum, ll);
450 y_max = MAX (y_max, max->value);
451 y_min = MIN (y_min, min->value);
454 if (fctr->indep_var[0])
455 title = xasprintf (_("Boxplot of %s vs. %s"),
456 var_to_string (dependent_var[v]),
457 var_to_string (fctr->indep_var[0]));
459 title = xasprintf (_("Boxplot of %s"),
460 var_to_string (dependent_var[v]));
461 boxplot = boxplot_create (y_min, y_max, title);
464 ll_for_each (result, struct factor_result, ll, &fctr->result_list)
466 struct factor_metrics *metrics = &result->metrics[v];
467 struct string str = DS_EMPTY_INITIALIZER;
468 factor_to_string_concise (fctr, result, &str);
469 boxplot_add_box (boxplot, metrics->box_whisker, ds_cstr (&str));
470 metrics->box_whisker = NULL;
474 chart_submit (boxplot_get_chart (boxplot));
481 show_boxplot_variables (const struct variable **dependent_var,
483 const struct xfactor *fctr
487 const struct factor_result *result;
490 ll_for_each (result, struct factor_result, ll, &fctr->result_list)
493 double y_min = DBL_MAX;
494 double y_max = -DBL_MAX;
495 struct boxplot *boxplot;
497 for (v = 0; v < n_dep_var; ++v)
499 const struct factor_metrics *metrics = &result->metrics[v];
500 const struct ll *max_ll = ll_head (extrema_list (metrics->maxima));
501 const struct ll *min_ll = ll_head (extrema_list (metrics->minima));
502 const struct extremum *max = ll_data (max_ll, struct extremum, ll);
503 const struct extremum *min = ll_data (min_ll, struct extremum, ll);
505 y_max = MAX (y_max, max->value);
506 y_min = MIN (y_min, min->value);
509 ds_init_empty (&title);
510 factor_to_string (fctr, result, &title);
511 boxplot = boxplot_create (y_min, y_max, ds_cstr (&title));
514 for (v = 0; v < n_dep_var; ++v)
516 struct factor_metrics *metrics = &result->metrics[v];
517 boxplot_add_box (boxplot, metrics->box_whisker,
518 var_get_name (dependent_var[v]));
519 metrics->box_whisker = NULL;
522 chart_submit (boxplot_get_chart (boxplot));
527 /* Show all the appropriate tables */
529 output_examine (const struct dictionary *dict)
533 show_summary (dependent_vars, n_dependent_vars, dict, &level0_factor);
535 if ( cmd.a_statistics[XMN_ST_EXTREME] )
536 show_extremes (dependent_vars, n_dependent_vars, &level0_factor);
538 if ( cmd.a_statistics[XMN_ST_DESCRIPTIVES] )
539 show_descriptives (dependent_vars, n_dependent_vars, &level0_factor);
541 if ( cmd.sbc_percentiles)
542 show_percentiles (dependent_vars, n_dependent_vars, &level0_factor);
546 if (cmd.a_plot[XMN_PLT_BOXPLOT])
547 show_boxplot_groups (dependent_vars, n_dependent_vars, &level0_factor);
549 if (cmd.a_plot[XMN_PLT_HISTOGRAM])
550 show_histogram (dependent_vars, n_dependent_vars, &level0_factor);
552 if (cmd.a_plot[XMN_PLT_NPPLOT])
553 show_npplot (dependent_vars, n_dependent_vars, &level0_factor);
556 for (ll = ll_head (&factor_list);
557 ll != ll_null (&factor_list); ll = ll_next (ll))
559 struct xfactor *factor = ll_data (ll, struct xfactor, ll);
560 show_summary (dependent_vars, n_dependent_vars, dict, factor);
562 if ( cmd.a_statistics[XMN_ST_EXTREME] )
563 show_extremes (dependent_vars, n_dependent_vars, factor);
565 if ( cmd.a_statistics[XMN_ST_DESCRIPTIVES] )
566 show_descriptives (dependent_vars, n_dependent_vars, factor);
568 if ( cmd.sbc_percentiles)
569 show_percentiles (dependent_vars, n_dependent_vars, factor);
571 if (cmd.a_plot[XMN_PLT_BOXPLOT])
573 if (cmd.cmp == XMN_GROUPS)
574 show_boxplot_groups (dependent_vars, n_dependent_vars, factor);
575 else if (cmd.cmp == XMN_VARIABLES)
576 show_boxplot_variables (dependent_vars, n_dependent_vars, factor);
579 if (cmd.a_plot[XMN_PLT_HISTOGRAM])
580 show_histogram (dependent_vars, n_dependent_vars, factor);
582 if (cmd.a_plot[XMN_PLT_NPPLOT])
583 show_npplot (dependent_vars, n_dependent_vars, factor);
587 /* Parse the PERCENTILES subcommand */
589 xmn_custom_percentiles (struct lexer *lexer, struct dataset *ds UNUSED,
590 struct cmd_examine *p UNUSED, void *aux UNUSED)
592 lex_match (lexer, '=');
594 lex_match (lexer, '(');
596 while ( lex_is_number (lexer) )
598 subc_list_double_push (&percentile_list, lex_number (lexer));
602 lex_match (lexer, ',') ;
604 lex_match (lexer, ')');
606 lex_match (lexer, '=');
608 if ( lex_match_id (lexer, "HAVERAGE"))
609 percentile_algorithm = PC_HAVERAGE;
611 else if ( lex_match_id (lexer, "WAVERAGE"))
612 percentile_algorithm = PC_WAVERAGE;
614 else if ( lex_match_id (lexer, "ROUND"))
615 percentile_algorithm = PC_ROUND;
617 else if ( lex_match_id (lexer, "EMPIRICAL"))
618 percentile_algorithm = PC_EMPIRICAL;
620 else if ( lex_match_id (lexer, "AEMPIRICAL"))
621 percentile_algorithm = PC_AEMPIRICAL;
623 else if ( lex_match_id (lexer, "NONE"))
624 percentile_algorithm = PC_NONE;
627 if ( 0 == subc_list_double_count (&percentile_list))
629 subc_list_double_push (&percentile_list, 5);
630 subc_list_double_push (&percentile_list, 10);
631 subc_list_double_push (&percentile_list, 25);
632 subc_list_double_push (&percentile_list, 50);
633 subc_list_double_push (&percentile_list, 75);
634 subc_list_double_push (&percentile_list, 90);
635 subc_list_double_push (&percentile_list, 95);
641 /* TOTAL and NOTOTAL are simple, mutually exclusive flags */
643 xmn_custom_total (struct lexer *lexer UNUSED, struct dataset *ds UNUSED,
644 struct cmd_examine *p, void *aux UNUSED)
646 if ( p->sbc_nototal )
648 msg (SE, _("%s and %s are mutually exclusive"),"TOTAL","NOTOTAL");
656 xmn_custom_nototal (struct lexer *lexer UNUSED, struct dataset *ds UNUSED,
657 struct cmd_examine *p, void *aux UNUSED)
661 msg (SE, _("%s and %s are mutually exclusive"), "TOTAL", "NOTOTAL");
670 /* Parser for the variables sub command
671 Returns 1 on success */
673 xmn_custom_variables (struct lexer *lexer, struct dataset *ds,
674 struct cmd_examine *cmd,
677 const struct dictionary *dict = dataset_dict (ds);
678 lex_match (lexer, '=');
680 if ( (lex_token (lexer) != T_ID || dict_lookup_var (dict, lex_tokid (lexer)) == NULL)
681 && lex_token (lexer) != T_ALL)
686 if (!parse_variables_const (lexer, dict, &dependent_vars, &n_dependent_vars,
687 PV_NO_DUPLICATE | PV_NUMERIC | PV_NO_SCRATCH) )
689 free (dependent_vars);
693 assert (n_dependent_vars);
696 if ( lex_match (lexer, T_BY))
699 success = examine_parse_independent_vars (lexer, dict, cmd);
702 free (dependent_vars);
712 /* Parse the clause specifying the factors */
714 examine_parse_independent_vars (struct lexer *lexer,
715 const struct dictionary *dict,
716 struct cmd_examine *cmd)
719 struct xfactor *sf = xmalloc (sizeof *sf);
721 ll_init (&sf->result_list);
723 if ( (lex_token (lexer) != T_ID ||
724 dict_lookup_var (dict, lex_tokid (lexer)) == NULL)
725 && lex_token (lexer) != T_ALL)
731 sf->indep_var[0] = parse_variable (lexer, dict);
732 sf->indep_var[1] = NULL;
734 if ( lex_token (lexer) == T_BY )
736 lex_match (lexer, T_BY);
738 if ( (lex_token (lexer) != T_ID ||
739 dict_lookup_var (dict, lex_tokid (lexer)) == NULL)
740 && lex_token (lexer) != T_ALL)
746 sf->indep_var[1] = parse_variable (lexer, dict);
748 ll_push_tail (&factor_list, &sf->ll);
751 ll_push_tail (&factor_list, &sf->ll);
753 lex_match (lexer, ',');
755 if ( lex_token (lexer) == '.' || lex_token (lexer) == '/' )
758 success = examine_parse_independent_vars (lexer, dict, cmd);
767 examine_group (struct cmd_examine *cmd, struct casereader *reader, int level,
768 const struct dictionary *dict, struct xfactor *factor)
771 const struct variable *wv = dict_get_weight (dict);
774 struct factor_result *result = xzalloc (sizeof (*result));
777 for (i = 0; i < 2; i++)
778 if (factor->indep_var[i])
779 value_init (&result->value[i], var_get_width (factor->indep_var[i]));
781 result->metrics = xcalloc (n_dependent_vars, sizeof (*result->metrics));
783 if ( cmd->a_statistics[XMN_ST_EXTREME] )
784 n_extrema = cmd->st_n;
787 c = casereader_peek (reader, 0);
791 for (i = 0; i < 2; i++)
792 if (factor->indep_var[i])
793 value_copy (&result->value[i], case_data (c, factor->indep_var[i]),
794 var_get_width (factor->indep_var[i]));
798 for (v = 0; v < n_dependent_vars; ++v)
800 struct casewriter *writer;
801 struct casereader *input = casereader_clone (reader);
803 result->metrics[v].moments = moments1_create (MOMENT_KURTOSIS);
804 result->metrics[v].minima = extrema_create (n_extrema, EXTREME_MINIMA);
805 result->metrics[v].maxima = extrema_create (n_extrema, EXTREME_MAXIMA);
806 result->metrics[v].cmin = DBL_MAX;
808 if (cmd->a_statistics[XMN_ST_DESCRIPTIVES] ||
809 cmd->a_plot[XMN_PLT_BOXPLOT] ||
810 cmd->a_plot[XMN_PLT_NPPLOT] ||
811 cmd->sbc_percentiles)
813 /* In this case, we need to sort the data, so we create a sorting
815 struct subcase up_ordering;
816 subcase_init_var (&up_ordering, dependent_vars[v], SC_ASCEND);
817 writer = sort_create_writer (&up_ordering,
818 casereader_get_proto (reader));
819 subcase_destroy (&up_ordering);
823 /* but in this case, sorting is unnecessary, so an ordinary
824 casewriter is sufficient */
826 autopaging_writer_create (casereader_get_proto (reader));
830 /* Sort or just iterate, whilst calculating moments etc */
831 while ((c = casereader_read (input)) != NULL)
833 int n_vals = caseproto_get_n_widths (casereader_get_proto (reader));
834 const casenumber loc = case_data_idx (c, n_vals - 1)->f;
836 const double weight = wv ? case_data (c, wv)->f : 1.0;
837 const union value *value = case_data (c, dependent_vars[v]);
839 if (weight != SYSMIS)
840 minimize (&result->metrics[v].cmin, weight);
842 moments1_add (result->metrics[v].moments,
846 result->metrics[v].n += weight;
848 if ( ! var_is_value_missing (dependent_vars[v], value, MV_ANY) )
849 result->metrics[v].n_valid += weight;
851 extrema_add (result->metrics[v].maxima,
856 extrema_add (result->metrics[v].minima,
861 casewriter_write (writer, c);
863 casereader_destroy (input);
864 result->metrics[v].up_reader = casewriter_make_reader (writer);
867 /* If percentiles or descriptives have been requested, then a
868 second pass through the data (which has now been sorted)
870 if ( cmd->a_statistics[XMN_ST_DESCRIPTIVES] ||
871 cmd->a_plot[XMN_PLT_BOXPLOT] ||
872 cmd->a_plot[XMN_PLT_NPPLOT] ||
873 cmd->sbc_percentiles)
875 for (v = 0; v < n_dependent_vars; ++v)
879 struct order_stats **os ;
880 struct factor_metrics *metric = &result->metrics[v];
882 metric->n_ptiles = percentile_list.n_data;
884 metric->ptl = xcalloc (metric->n_ptiles, sizeof *metric->ptl);
886 metric->quartiles = xcalloc (3, sizeof (*metric->quartiles));
888 for (i = 0 ; i < metric->n_ptiles; ++i)
890 metric->ptl[i] = percentile_create (percentile_list.data[i] / 100.0, metric->n_valid);
892 if ( percentile_list.data[i] == 25)
893 metric->quartiles[0] = metric->ptl[i];
894 else if ( percentile_list.data[i] == 50)
895 metric->quartiles[1] = metric->ptl[i];
896 else if ( percentile_list.data[i] == 75)
897 metric->quartiles[2] = metric->ptl[i];
900 metric->tukey_hinges = tukey_hinges_create (metric->n_valid, metric->cmin);
901 metric->trimmed_mean = trimmed_mean_create (metric->n_valid, 0.05);
903 n_os = metric->n_ptiles + 2;
905 if ( cmd->a_plot[XMN_PLT_NPPLOT] )
907 metric->np = np_create (metric->moments);
911 os = xcalloc (n_os, sizeof *os);
913 for (i = 0 ; i < metric->n_ptiles ; ++i )
915 os[i] = &metric->ptl[i]->parent;
918 os[i] = &metric->tukey_hinges->parent;
919 os[i+1] = &metric->trimmed_mean->parent;
921 if (cmd->a_plot[XMN_PLT_NPPLOT])
922 os[i+2] = &metric->np->parent;
924 order_stats_accumulate (os, n_os,
925 casereader_clone (metric->up_reader),
926 wv, dependent_vars[v], MV_ANY);
931 /* FIXME: Do this in the above loop */
932 if ( cmd->a_plot[XMN_PLT_HISTOGRAM] )
935 struct casereader *input = casereader_clone (reader);
937 for (v = 0; v < n_dependent_vars; ++v)
939 const struct extremum *max, *min;
940 struct factor_metrics *metric = &result->metrics[v];
942 const struct ll_list *max_list =
943 extrema_list (result->metrics[v].maxima);
945 const struct ll_list *min_list =
946 extrema_list (result->metrics[v].minima);
948 if ( ll_is_empty (max_list))
950 msg (MW, _("Not creating plot because data set is empty."));
954 assert (! ll_is_empty (min_list));
956 max = (const struct extremum *)
957 ll_data (ll_head(max_list), struct extremum, ll);
959 min = (const struct extremum *)
960 ll_data (ll_head (min_list), struct extremum, ll);
962 metric->histogram = histogram_create (10, min->value, max->value);
965 while ((c = casereader_read (input)) != NULL)
967 const double weight = wv ? case_data (c, wv)->f : 1.0;
969 for (v = 0; v < n_dependent_vars; ++v)
971 struct factor_metrics *metric = &result->metrics[v];
972 if ( metric->histogram)
973 histogram_add (metric->histogram,
974 case_data (c, dependent_vars[v])->f, weight);
978 casereader_destroy (input);
981 /* In this case, a third iteration is required */
982 if (cmd->a_plot[XMN_PLT_BOXPLOT])
984 for (v = 0; v < n_dependent_vars; ++v)
986 struct factor_metrics *metric = &result->metrics[v];
987 int n_vals = caseproto_get_n_widths (casereader_get_proto (
989 struct order_stats *os = &metric->box_whisker->parent;
991 metric->box_whisker =
992 box_whisker_create ( metric->tukey_hinges, cmd->v_id, n_vals - 1);
994 order_stats_accumulate ( &os, 1,
995 casereader_clone (metric->up_reader),
996 wv, dependent_vars[v], MV_ANY);
1000 ll_push_tail (&factor->result_list, &result->ll);
1001 casereader_destroy (reader);
1006 run_examine (struct cmd_examine *cmd, struct casereader *input,
1010 const struct dictionary *dict = dataset_dict (ds);
1012 struct casereader *level0 = casereader_clone (input);
1014 c = casereader_peek (input, 0);
1017 casereader_destroy (input);
1021 output_split_file_values (ds, c);
1024 ll_init (&level0_factor.result_list);
1026 examine_group (cmd, level0, 0, dict, &level0_factor);
1028 for (ll = ll_head (&factor_list);
1029 ll != ll_null (&factor_list);
1032 struct xfactor *factor = ll_data (ll, struct xfactor, ll);
1034 struct casereader *group = NULL;
1035 struct casereader *level1;
1036 struct casegrouper *grouper1 = NULL;
1038 level1 = casereader_clone (input);
1039 level1 = sort_execute_1var (level1, factor->indep_var[0]);
1040 grouper1 = casegrouper_create_vars (level1, &factor->indep_var[0], 1);
1042 while (casegrouper_get_next_group (grouper1, &group))
1044 struct casereader *group_copy = casereader_clone (group);
1046 if ( !factor->indep_var[1])
1047 examine_group (cmd, group_copy, 1, dict, factor);
1051 struct casereader *group2 = NULL;
1052 struct casegrouper *grouper2 = NULL;
1054 group_copy = sort_execute_1var (group_copy,
1055 factor->indep_var[1]);
1057 grouper2 = casegrouper_create_vars (group_copy,
1058 &factor->indep_var[1], 1);
1060 while (casegrouper_get_next_group (grouper2, &group2))
1062 examine_group (cmd, group2, 2, dict, factor);
1065 casegrouper_destroy (grouper2);
1068 casereader_destroy (group);
1070 casegrouper_destroy (grouper1);
1073 casereader_destroy (input);
1075 output_examine (dict);
1077 factor_destroy (&level0_factor);
1081 for (ll = ll_head (&factor_list);
1082 ll != ll_null (&factor_list);
1085 struct xfactor *f = ll_data (ll, struct xfactor, ll);
1094 show_summary (const struct variable **dependent_var, int n_dep_var,
1095 const struct dictionary *dict,
1096 const struct xfactor *fctr)
1098 const struct variable *wv = dict_get_weight (dict);
1099 const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : & F_8_0;
1101 static const char *subtitle[]=
1109 int heading_columns = 1;
1111 const int heading_rows = 3;
1112 struct tab_table *tbl;
1119 if ( fctr->indep_var[0] )
1121 heading_columns = 2;
1123 if ( fctr->indep_var[1] )
1125 heading_columns = 3;
1129 n_rows *= ll_count (&fctr->result_list);
1130 n_rows += heading_rows;
1132 n_cols = heading_columns + 6;
1134 tbl = tab_create (n_cols, n_rows, 0);
1135 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1137 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1139 /* Outline the box */
1144 n_cols - 1, n_rows - 1);
1146 /* Vertical lines for the data only */
1151 n_cols - 1, n_rows - 1);
1154 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1155 tab_hline (tbl, TAL_1, heading_columns, n_cols - 1, 1 );
1156 tab_hline (tbl, TAL_1, heading_columns, n_cols - 1, heading_rows -1 );
1158 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
1161 tab_title (tbl, _("Case Processing Summary"));
1163 tab_joint_text (tbl, heading_columns, 0,
1165 TAB_CENTER | TAT_TITLE,
1168 /* Remove lines ... */
1175 for (j = 0 ; j < 3 ; ++j)
1177 tab_text (tbl, heading_columns + j * 2 , 2, TAB_CENTER | TAT_TITLE,
1180 tab_text (tbl, heading_columns + j * 2 + 1, 2, TAB_CENTER | TAT_TITLE,
1183 tab_joint_text (tbl, heading_columns + j * 2 , 1,
1184 heading_columns + j * 2 + 1, 1,
1185 TAB_CENTER | TAT_TITLE,
1188 tab_box (tbl, -1, -1,
1190 heading_columns + j * 2, 1,
1191 heading_columns + j * 2 + 1, 1);
1195 /* Titles for the independent variables */
1196 if ( fctr->indep_var[0] )
1198 tab_text (tbl, 1, heading_rows - 1, TAB_CENTER | TAT_TITLE,
1199 var_to_string (fctr->indep_var[0]));
1201 if ( fctr->indep_var[1] )
1203 tab_text (tbl, 2, heading_rows - 1, TAB_CENTER | TAT_TITLE,
1204 var_to_string (fctr->indep_var[1]));
1208 for (v = 0 ; v < n_dep_var ; ++v)
1212 const union value *last_value = NULL;
1215 tab_hline (tbl, TAL_1, 0, n_cols -1 ,
1216 v * ll_count (&fctr->result_list)
1221 v * ll_count (&fctr->result_list) + heading_rows,
1222 TAB_LEFT | TAT_TITLE,
1223 var_to_string (dependent_var[v])
1227 for (ll = ll_head (&fctr->result_list);
1228 ll != ll_null (&fctr->result_list); ll = ll_next (ll))
1231 const struct factor_result *result =
1232 ll_data (ll, struct factor_result, ll);
1234 if ( fctr->indep_var[0] )
1237 if ( last_value == NULL ||
1238 !value_equal (last_value, &result->value[0],
1239 var_get_width (fctr->indep_var[0])))
1243 last_value = &result->value[0];
1244 ds_init_empty (&str);
1246 var_append_value_name (fctr->indep_var[0], &result->value[0],
1251 v * ll_count (&fctr->result_list),
1252 TAB_LEFT | TAT_TITLE,
1257 if ( fctr->indep_var[1] && j > 0)
1258 tab_hline (tbl, TAL_1, 1, n_cols - 1,
1260 v * ll_count (&fctr->result_list));
1263 if ( fctr->indep_var[1])
1267 ds_init_empty (&str);
1269 var_append_value_name (fctr->indep_var[1],
1270 &result->value[1], &str);
1274 v * ll_count (&fctr->result_list),
1275 TAB_LEFT | TAT_TITLE,
1283 moments1_calculate (result->metrics[v].moments,
1284 &n, &result->metrics[v].mean,
1285 &result->metrics[v].variance,
1286 &result->metrics[v].skewness,
1287 &result->metrics[v].kurtosis);
1289 result->metrics[v].se_mean = sqrt (result->metrics[v].variance / n) ;
1292 tab_double (tbl, heading_columns,
1293 heading_rows + j + v * ll_count (&fctr->result_list),
1297 tab_text_format (tbl, heading_columns + 1,
1298 heading_rows + j + v * ll_count (&fctr->result_list),
1300 "%g%%", n * 100.0 / result->metrics[v].n);
1303 tab_double (tbl, heading_columns + 2,
1304 heading_rows + j + v * ll_count (&fctr->result_list),
1306 result->metrics[v].n - n,
1309 tab_text_format (tbl, heading_columns + 3,
1310 heading_rows + j + v * ll_count (&fctr->result_list),
1313 (result->metrics[v].n - n) * 100.0 / result->metrics[v].n
1316 /* Total Valid + Missing */
1317 tab_double (tbl, heading_columns + 4,
1318 heading_rows + j + v * ll_count (&fctr->result_list),
1320 result->metrics[v].n,
1323 tab_text_format (tbl, heading_columns + 5,
1324 heading_rows + j + v * ll_count (&fctr->result_list),
1327 ((result->metrics[v].n) * 100.0
1328 / result->metrics[v].n));
1338 #define DESCRIPTIVE_ROWS 13
1341 show_descriptives (const struct variable **dependent_var,
1343 const struct xfactor *fctr)
1346 int heading_columns = 3;
1348 const int heading_rows = 1;
1349 struct tab_table *tbl;
1356 if ( fctr->indep_var[0] )
1358 heading_columns = 4;
1360 if ( fctr->indep_var[1] )
1362 heading_columns = 5;
1366 n_rows *= ll_count (&fctr->result_list) * DESCRIPTIVE_ROWS;
1367 n_rows += heading_rows;
1369 n_cols = heading_columns + 2;
1371 tbl = tab_create (n_cols, n_rows, 0);
1372 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1374 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1376 /* Outline the box */
1381 n_cols - 1, n_rows - 1);
1384 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1385 tab_hline (tbl, TAL_2, 1, n_cols - 1, heading_rows );
1387 tab_vline (tbl, TAL_1, n_cols - 1, 0, n_rows - 1);
1390 if ( fctr->indep_var[0])
1391 tab_text (tbl, 1, 0, TAT_TITLE, var_to_string (fctr->indep_var[0]));
1393 if ( fctr->indep_var[1])
1394 tab_text (tbl, 2, 0, TAT_TITLE, var_to_string (fctr->indep_var[1]));
1396 for (v = 0 ; v < n_dep_var ; ++v )
1401 const int row_var_start =
1402 v * DESCRIPTIVE_ROWS * ll_count(&fctr->result_list);
1406 heading_rows + row_var_start,
1407 TAB_LEFT | TAT_TITLE,
1408 var_to_string (dependent_var[v])
1411 for (ll = ll_head (&fctr->result_list);
1412 ll != ll_null (&fctr->result_list); i++, ll = ll_next (ll))
1414 const struct factor_result *result =
1415 ll_data (ll, struct factor_result, ll);
1418 gsl_cdf_tdist_Qinv ((1 - cmd.n_cinterval[0] / 100.0) / 2.0,
1419 result->metrics[v].n - 1);
1421 if ( i > 0 || v > 0 )
1423 const int left_col = (i == 0) ? 0 : 1;
1424 tab_hline (tbl, TAL_1, left_col, n_cols - 1,
1425 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS);
1428 if ( fctr->indep_var[0])
1431 ds_init_empty (&vstr);
1432 var_append_value_name (fctr->indep_var[0],
1433 &result->value[0], &vstr);
1436 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1445 tab_text (tbl, n_cols - 4,
1446 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1450 tab_text_format (tbl, n_cols - 4,
1451 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1453 _("%g%% Confidence Interval for Mean"),
1454 cmd.n_cinterval[0]);
1456 tab_text (tbl, n_cols - 3,
1457 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1461 tab_text (tbl, n_cols - 3,
1462 heading_rows + row_var_start + 2 + i * DESCRIPTIVE_ROWS,
1466 tab_text (tbl, n_cols - 4,
1467 heading_rows + row_var_start + 3 + i * DESCRIPTIVE_ROWS,
1468 TAB_LEFT, _("5% Trimmed Mean"));
1470 tab_text (tbl, n_cols - 4,
1471 heading_rows + row_var_start + 4 + i * DESCRIPTIVE_ROWS,
1475 tab_text (tbl, n_cols - 4,
1476 heading_rows + row_var_start + 5 + i * DESCRIPTIVE_ROWS,
1480 tab_text (tbl, n_cols - 4,
1481 heading_rows + row_var_start + 6 + i * DESCRIPTIVE_ROWS,
1483 _("Std. Deviation"));
1485 tab_text (tbl, n_cols - 4,
1486 heading_rows + row_var_start + 7 + i * DESCRIPTIVE_ROWS,
1490 tab_text (tbl, n_cols - 4,
1491 heading_rows + row_var_start + 8 + i * DESCRIPTIVE_ROWS,
1495 tab_text (tbl, n_cols - 4,
1496 heading_rows + row_var_start + 9 + i * DESCRIPTIVE_ROWS,
1500 tab_text (tbl, n_cols - 4,
1501 heading_rows + row_var_start + 10 + i * DESCRIPTIVE_ROWS,
1503 _("Interquartile Range"));
1506 tab_text (tbl, n_cols - 4,
1507 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1511 tab_text (tbl, n_cols - 4,
1512 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1517 /* Now the statistics ... */
1519 tab_double (tbl, n_cols - 2,
1520 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1522 result->metrics[v].mean,
1525 tab_double (tbl, n_cols - 1,
1526 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1528 result->metrics[v].se_mean,
1532 tab_double (tbl, n_cols - 2,
1533 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1535 result->metrics[v].mean - t *
1536 result->metrics[v].se_mean,
1539 tab_double (tbl, n_cols - 2,
1540 heading_rows + row_var_start + 2 + i * DESCRIPTIVE_ROWS,
1542 result->metrics[v].mean + t *
1543 result->metrics[v].se_mean,
1547 tab_double (tbl, n_cols - 2,
1548 heading_rows + row_var_start + 3 + i * DESCRIPTIVE_ROWS,
1550 trimmed_mean_calculate (result->metrics[v].trimmed_mean),
1554 tab_double (tbl, n_cols - 2,
1555 heading_rows + row_var_start + 4 + i * DESCRIPTIVE_ROWS,
1557 percentile_calculate (result->metrics[v].quartiles[1], percentile_algorithm),
1561 tab_double (tbl, n_cols - 2,
1562 heading_rows + row_var_start + 5 + i * DESCRIPTIVE_ROWS,
1564 result->metrics[v].variance,
1567 tab_double (tbl, n_cols - 2,
1568 heading_rows + row_var_start + 6 + i * DESCRIPTIVE_ROWS,
1570 sqrt (result->metrics[v].variance),
1573 tab_double (tbl, n_cols - 2,
1574 heading_rows + row_var_start + 10 + i * DESCRIPTIVE_ROWS,
1576 percentile_calculate (result->metrics[v].quartiles[2],
1577 percentile_algorithm) -
1578 percentile_calculate (result->metrics[v].quartiles[0],
1579 percentile_algorithm),
1583 tab_double (tbl, n_cols - 2,
1584 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1586 result->metrics[v].skewness,
1589 tab_double (tbl, n_cols - 2,
1590 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1592 result->metrics[v].kurtosis,
1595 tab_double (tbl, n_cols - 1,
1596 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1598 calc_seskew (result->metrics[v].n),
1601 tab_double (tbl, n_cols - 1,
1602 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1604 calc_sekurt (result->metrics[v].n),
1608 struct extremum *minimum, *maximum ;
1610 struct ll *max_ll = ll_head (extrema_list (result->metrics[v].maxima));
1611 struct ll *min_ll = ll_head (extrema_list (result->metrics[v].minima));
1613 maximum = ll_data (max_ll, struct extremum, ll);
1614 minimum = ll_data (min_ll, struct extremum, ll);
1616 tab_double (tbl, n_cols - 2,
1617 heading_rows + row_var_start + 7 + i * DESCRIPTIVE_ROWS,
1622 tab_double (tbl, n_cols - 2,
1623 heading_rows + row_var_start + 8 + i * DESCRIPTIVE_ROWS,
1628 tab_double (tbl, n_cols - 2,
1629 heading_rows + row_var_start + 9 + i * DESCRIPTIVE_ROWS,
1631 maximum->value - minimum->value,
1637 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
1639 tab_title (tbl, _("Descriptives"));
1641 tab_text (tbl, n_cols - 2, 0, TAB_CENTER | TAT_TITLE,
1644 tab_text (tbl, n_cols - 1, 0, TAB_CENTER | TAT_TITLE,
1653 show_extremes (const struct variable **dependent_var,
1655 const struct xfactor *fctr)
1658 int heading_columns = 3;
1660 const int heading_rows = 1;
1661 struct tab_table *tbl;
1668 if ( fctr->indep_var[0] )
1670 heading_columns = 4;
1672 if ( fctr->indep_var[1] )
1674 heading_columns = 5;
1678 n_rows *= ll_count (&fctr->result_list) * cmd.st_n * 2;
1679 n_rows += heading_rows;
1681 n_cols = heading_columns + 2;
1683 tbl = tab_create (n_cols, n_rows, 0);
1684 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1686 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1688 /* Outline the box */
1693 n_cols - 1, n_rows - 1);
1696 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1697 tab_hline (tbl, TAL_2, 1, n_cols - 1, heading_rows );
1698 tab_vline (tbl, TAL_1, n_cols - 1, 0, n_rows - 1);
1700 if ( fctr->indep_var[0])
1701 tab_text (tbl, 1, 0, TAT_TITLE, var_to_string (fctr->indep_var[0]));
1703 if ( fctr->indep_var[1])
1704 tab_text (tbl, 2, 0, TAT_TITLE, var_to_string (fctr->indep_var[1]));
1706 for (v = 0 ; v < n_dep_var ; ++v )
1710 const int row_var_start = v * cmd.st_n * 2 * ll_count(&fctr->result_list);
1714 heading_rows + row_var_start,
1715 TAB_LEFT | TAT_TITLE,
1716 var_to_string (dependent_var[v])
1719 for (ll = ll_head (&fctr->result_list);
1720 ll != ll_null (&fctr->result_list); i++, ll = ll_next (ll))
1725 const int row_result_start = i * cmd.st_n * 2;
1727 const struct factor_result *result =
1728 ll_data (ll, struct factor_result, ll);
1731 tab_hline (tbl, TAL_1, 1, n_cols - 1,
1732 heading_rows + row_var_start + row_result_start);
1734 tab_hline (tbl, TAL_1, heading_columns - 2, n_cols - 1,
1735 heading_rows + row_var_start + row_result_start + cmd.st_n);
1737 for ( e = 1; e <= cmd.st_n; ++e )
1739 tab_text_format (tbl, n_cols - 3,
1740 heading_rows + row_var_start + row_result_start + e - 1,
1744 tab_text_format (tbl, n_cols - 3,
1745 heading_rows + row_var_start + row_result_start + cmd.st_n + e - 1,
1751 min_ll = ll_head (extrema_list (result->metrics[v].minima));
1752 for (e = 0; e < cmd.st_n;)
1754 struct extremum *minimum = ll_data (min_ll, struct extremum, ll);
1755 double weight = minimum->weight;
1757 while (weight-- > 0 && e < cmd.st_n)
1759 tab_double (tbl, n_cols - 1,
1760 heading_rows + row_var_start + row_result_start + cmd.st_n + e,
1766 tab_fixed (tbl, n_cols - 2,
1767 heading_rows + row_var_start +
1768 row_result_start + cmd.st_n + e,
1775 min_ll = ll_next (min_ll);
1779 max_ll = ll_head (extrema_list (result->metrics[v].maxima));
1780 for (e = 0; e < cmd.st_n;)
1782 struct extremum *maximum = ll_data (max_ll, struct extremum, ll);
1783 double weight = maximum->weight;
1785 while (weight-- > 0 && e < cmd.st_n)
1787 tab_double (tbl, n_cols - 1,
1788 heading_rows + row_var_start +
1789 row_result_start + e,
1795 tab_fixed (tbl, n_cols - 2,
1796 heading_rows + row_var_start +
1797 row_result_start + e,
1804 max_ll = ll_next (max_ll);
1808 if ( fctr->indep_var[0])
1811 ds_init_empty (&vstr);
1812 var_append_value_name (fctr->indep_var[0],
1813 &result->value[0], &vstr);
1816 heading_rows + row_var_start + row_result_start,
1825 tab_text (tbl, n_cols - 4,
1826 heading_rows + row_var_start + row_result_start,
1830 tab_text (tbl, n_cols - 4,
1831 heading_rows + row_var_start + row_result_start + cmd.st_n,
1837 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
1840 tab_title (tbl, _("Extreme Values"));
1843 tab_text (tbl, n_cols - 2, 0, TAB_CENTER | TAT_TITLE,
1847 tab_text (tbl, n_cols - 1, 0, TAB_CENTER | TAT_TITLE,
1853 #define PERCENTILE_ROWS 2
1856 show_percentiles (const struct variable **dependent_var,
1858 const struct xfactor *fctr)
1862 int heading_columns = 2;
1864 const int n_percentiles = subc_list_double_count (&percentile_list);
1865 const int heading_rows = 2;
1866 struct tab_table *tbl;
1873 if ( fctr->indep_var[0] )
1875 heading_columns = 3;
1877 if ( fctr->indep_var[1] )
1879 heading_columns = 4;
1883 n_rows *= ll_count (&fctr->result_list) * PERCENTILE_ROWS;
1884 n_rows += heading_rows;
1886 n_cols = heading_columns + n_percentiles;
1888 tbl = tab_create (n_cols, n_rows, 0);
1889 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1891 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1893 /* Outline the box */
1898 n_cols - 1, n_rows - 1);
1901 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1902 tab_hline (tbl, TAL_2, 1, n_cols - 1, heading_rows );
1904 if ( fctr->indep_var[0])
1905 tab_text (tbl, 1, 1, TAT_TITLE, var_to_string (fctr->indep_var[0]));
1907 if ( fctr->indep_var[1])
1908 tab_text (tbl, 2, 1, TAT_TITLE, var_to_string (fctr->indep_var[1]));
1910 for (v = 0 ; v < n_dep_var ; ++v )
1916 const int row_var_start =
1917 v * PERCENTILE_ROWS * ll_count(&fctr->result_list);
1921 heading_rows + row_var_start,
1922 TAB_LEFT | TAT_TITLE,
1923 var_to_string (dependent_var[v])
1926 for (ll = ll_head (&fctr->result_list);
1927 ll != ll_null (&fctr->result_list); i++, ll = ll_next (ll))
1930 const struct factor_result *result =
1931 ll_data (ll, struct factor_result, ll);
1933 if ( i > 0 || v > 0 )
1935 const int left_col = (i == 0) ? 0 : 1;
1936 tab_hline (tbl, TAL_1, left_col, n_cols - 1,
1937 heading_rows + row_var_start + i * PERCENTILE_ROWS);
1940 if ( fctr->indep_var[0])
1943 ds_init_empty (&vstr);
1944 var_append_value_name (fctr->indep_var[0],
1945 &result->value[0], &vstr);
1948 heading_rows + row_var_start + i * PERCENTILE_ROWS,
1957 tab_text (tbl, n_cols - n_percentiles - 1,
1958 heading_rows + row_var_start + i * PERCENTILE_ROWS,
1960 ptile_alg_desc [percentile_algorithm]);
1963 tab_text (tbl, n_cols - n_percentiles - 1,
1964 heading_rows + row_var_start + 1 + i * PERCENTILE_ROWS,
1966 _("Tukey's Hinges"));
1969 tab_vline (tbl, TAL_1, n_cols - n_percentiles -1, heading_rows, n_rows - 1);
1971 tukey_hinges_calculate (result->metrics[v].tukey_hinges, hinges);
1973 for (j = 0; j < n_percentiles; ++j)
1975 double hinge = SYSMIS;
1976 tab_double (tbl, n_cols - n_percentiles + j,
1977 heading_rows + row_var_start + i * PERCENTILE_ROWS,
1979 percentile_calculate (result->metrics[v].ptl[j],
1980 percentile_algorithm),
1984 if ( result->metrics[v].ptl[j]->ptile == 0.5)
1986 else if ( result->metrics[v].ptl[j]->ptile == 0.25)
1988 else if ( result->metrics[v].ptl[j]->ptile == 0.75)
1991 if ( hinge != SYSMIS)
1992 tab_double (tbl, n_cols - n_percentiles + j,
1993 heading_rows + row_var_start + 1 + i * PERCENTILE_ROWS,
2003 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
2005 tab_title (tbl, _("Percentiles"));
2008 for (i = 0 ; i < n_percentiles; ++i )
2010 tab_text_format (tbl, n_cols - n_percentiles + i, 1,
2011 TAB_CENTER | TAT_TITLE,
2013 subc_list_double_at (&percentile_list, i));
2018 tab_joint_text (tbl,
2019 n_cols - n_percentiles, 0,
2021 TAB_CENTER | TAT_TITLE,
2024 /* Vertical lines for the data only */
2028 n_cols - n_percentiles, 1,
2029 n_cols - 1, n_rows - 1);
2031 tab_hline (tbl, TAL_1, n_cols - n_percentiles, n_cols - 1, 1);
2039 factor_to_string_concise (const struct xfactor *fctr,
2040 const struct factor_result *result,
2044 if (fctr->indep_var[0])
2046 var_append_value_name (fctr->indep_var[0], &result->value[0], str);
2048 if ( fctr->indep_var[1] )
2050 ds_put_cstr (str, ",");
2052 var_append_value_name (fctr->indep_var[1], &result->value[1], str);
2054 ds_put_cstr (str, ")");
2061 factor_to_string (const struct xfactor *fctr,
2062 const struct factor_result *result,
2066 if (fctr->indep_var[0])
2068 ds_put_format (str, "(%s = ", var_get_name (fctr->indep_var[0]));
2070 var_append_value_name (fctr->indep_var[0], &result->value[0], str);
2072 if ( fctr->indep_var[1] )
2074 ds_put_cstr (str, ",");
2075 ds_put_format (str, "%s = ", var_get_name (fctr->indep_var[1]));
2077 var_append_value_name (fctr->indep_var[1], &result->value[1], str);
2079 ds_put_cstr (str, ")");