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/boxplot.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;
991 metric->box_whisker =
992 box_whisker_create ( metric->tukey_hinges, cmd->v_id, n_vals - 1);
994 os = &metric->box_whisker->parent;
995 order_stats_accumulate ( &os, 1,
996 casereader_clone (metric->up_reader),
997 wv, dependent_vars[v], MV_ANY);
1001 ll_push_tail (&factor->result_list, &result->ll);
1002 casereader_destroy (reader);
1007 run_examine (struct cmd_examine *cmd, struct casereader *input,
1011 const struct dictionary *dict = dataset_dict (ds);
1013 struct casereader *level0 = casereader_clone (input);
1015 c = casereader_peek (input, 0);
1018 casereader_destroy (input);
1022 output_split_file_values (ds, c);
1025 ll_init (&level0_factor.result_list);
1027 examine_group (cmd, level0, 0, dict, &level0_factor);
1029 for (ll = ll_head (&factor_list);
1030 ll != ll_null (&factor_list);
1033 struct xfactor *factor = ll_data (ll, struct xfactor, ll);
1035 struct casereader *group = NULL;
1036 struct casereader *level1;
1037 struct casegrouper *grouper1 = NULL;
1039 level1 = casereader_clone (input);
1040 level1 = sort_execute_1var (level1, factor->indep_var[0]);
1041 grouper1 = casegrouper_create_vars (level1, &factor->indep_var[0], 1);
1043 while (casegrouper_get_next_group (grouper1, &group))
1045 struct casereader *group_copy = casereader_clone (group);
1047 if ( !factor->indep_var[1])
1048 examine_group (cmd, group_copy, 1, dict, factor);
1052 struct casereader *group2 = NULL;
1053 struct casegrouper *grouper2 = NULL;
1055 group_copy = sort_execute_1var (group_copy,
1056 factor->indep_var[1]);
1058 grouper2 = casegrouper_create_vars (group_copy,
1059 &factor->indep_var[1], 1);
1061 while (casegrouper_get_next_group (grouper2, &group2))
1063 examine_group (cmd, group2, 2, dict, factor);
1066 casegrouper_destroy (grouper2);
1069 casereader_destroy (group);
1071 casegrouper_destroy (grouper1);
1074 casereader_destroy (input);
1076 output_examine (dict);
1078 factor_destroy (&level0_factor);
1082 for (ll = ll_head (&factor_list);
1083 ll != ll_null (&factor_list);
1086 struct xfactor *f = ll_data (ll, struct xfactor, ll);
1095 show_summary (const struct variable **dependent_var, int n_dep_var,
1096 const struct dictionary *dict,
1097 const struct xfactor *fctr)
1099 const struct variable *wv = dict_get_weight (dict);
1100 const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : & F_8_0;
1102 static const char *subtitle[]=
1110 int heading_columns = 1;
1112 const int heading_rows = 3;
1113 struct tab_table *tbl;
1120 if ( fctr->indep_var[0] )
1122 heading_columns = 2;
1124 if ( fctr->indep_var[1] )
1126 heading_columns = 3;
1130 n_rows *= ll_count (&fctr->result_list);
1131 n_rows += heading_rows;
1133 n_cols = heading_columns + 6;
1135 tbl = tab_create (n_cols, n_rows);
1136 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1138 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1140 /* Outline the box */
1145 n_cols - 1, n_rows - 1);
1147 /* Vertical lines for the data only */
1152 n_cols - 1, n_rows - 1);
1155 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1156 tab_hline (tbl, TAL_1, heading_columns, n_cols - 1, 1 );
1157 tab_hline (tbl, TAL_1, heading_columns, n_cols - 1, heading_rows -1 );
1159 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
1162 tab_title (tbl, _("Case Processing Summary"));
1164 tab_joint_text (tbl, heading_columns, 0,
1166 TAB_CENTER | TAT_TITLE,
1169 /* Remove lines ... */
1176 for (j = 0 ; j < 3 ; ++j)
1178 tab_text (tbl, heading_columns + j * 2 , 2, TAB_CENTER | TAT_TITLE,
1181 tab_text (tbl, heading_columns + j * 2 + 1, 2, TAB_CENTER | TAT_TITLE,
1184 tab_joint_text (tbl, heading_columns + j * 2 , 1,
1185 heading_columns + j * 2 + 1, 1,
1186 TAB_CENTER | TAT_TITLE,
1189 tab_box (tbl, -1, -1,
1191 heading_columns + j * 2, 1,
1192 heading_columns + j * 2 + 1, 1);
1196 /* Titles for the independent variables */
1197 if ( fctr->indep_var[0] )
1199 tab_text (tbl, 1, heading_rows - 1, TAB_CENTER | TAT_TITLE,
1200 var_to_string (fctr->indep_var[0]));
1202 if ( fctr->indep_var[1] )
1204 tab_text (tbl, 2, heading_rows - 1, TAB_CENTER | TAT_TITLE,
1205 var_to_string (fctr->indep_var[1]));
1209 for (v = 0 ; v < n_dep_var ; ++v)
1213 const union value *last_value = NULL;
1216 tab_hline (tbl, TAL_1, 0, n_cols -1 ,
1217 v * ll_count (&fctr->result_list)
1222 v * ll_count (&fctr->result_list) + heading_rows,
1223 TAB_LEFT | TAT_TITLE,
1224 var_to_string (dependent_var[v])
1228 for (ll = ll_head (&fctr->result_list);
1229 ll != ll_null (&fctr->result_list); ll = ll_next (ll))
1232 const struct factor_result *result =
1233 ll_data (ll, struct factor_result, ll);
1235 if ( fctr->indep_var[0] )
1238 if ( last_value == NULL ||
1239 !value_equal (last_value, &result->value[0],
1240 var_get_width (fctr->indep_var[0])))
1244 last_value = &result->value[0];
1245 ds_init_empty (&str);
1247 var_append_value_name (fctr->indep_var[0], &result->value[0],
1252 v * ll_count (&fctr->result_list),
1253 TAB_LEFT | TAT_TITLE,
1258 if ( fctr->indep_var[1] && j > 0)
1259 tab_hline (tbl, TAL_1, 1, n_cols - 1,
1261 v * ll_count (&fctr->result_list));
1264 if ( fctr->indep_var[1])
1268 ds_init_empty (&str);
1270 var_append_value_name (fctr->indep_var[1],
1271 &result->value[1], &str);
1275 v * ll_count (&fctr->result_list),
1276 TAB_LEFT | TAT_TITLE,
1284 moments1_calculate (result->metrics[v].moments,
1285 &n, &result->metrics[v].mean,
1286 &result->metrics[v].variance,
1287 &result->metrics[v].skewness,
1288 &result->metrics[v].kurtosis);
1290 result->metrics[v].se_mean = sqrt (result->metrics[v].variance / n) ;
1293 tab_double (tbl, heading_columns,
1294 heading_rows + j + v * ll_count (&fctr->result_list),
1298 tab_text_format (tbl, heading_columns + 1,
1299 heading_rows + j + v * ll_count (&fctr->result_list),
1301 "%g%%", n * 100.0 / result->metrics[v].n);
1304 tab_double (tbl, heading_columns + 2,
1305 heading_rows + j + v * ll_count (&fctr->result_list),
1307 result->metrics[v].n - n,
1310 tab_text_format (tbl, heading_columns + 3,
1311 heading_rows + j + v * ll_count (&fctr->result_list),
1314 (result->metrics[v].n - n) * 100.0 / result->metrics[v].n
1317 /* Total Valid + Missing */
1318 tab_double (tbl, heading_columns + 4,
1319 heading_rows + j + v * ll_count (&fctr->result_list),
1321 result->metrics[v].n,
1324 tab_text_format (tbl, heading_columns + 5,
1325 heading_rows + j + v * ll_count (&fctr->result_list),
1328 ((result->metrics[v].n) * 100.0
1329 / result->metrics[v].n));
1339 #define DESCRIPTIVE_ROWS 13
1342 show_descriptives (const struct variable **dependent_var,
1344 const struct xfactor *fctr)
1347 int heading_columns = 3;
1349 const int heading_rows = 1;
1350 struct tab_table *tbl;
1357 if ( fctr->indep_var[0] )
1359 heading_columns = 4;
1361 if ( fctr->indep_var[1] )
1363 heading_columns = 5;
1367 n_rows *= ll_count (&fctr->result_list) * DESCRIPTIVE_ROWS;
1368 n_rows += heading_rows;
1370 n_cols = heading_columns + 2;
1372 tbl = tab_create (n_cols, n_rows);
1373 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1375 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1377 /* Outline the box */
1382 n_cols - 1, n_rows - 1);
1385 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1386 tab_hline (tbl, TAL_2, 1, n_cols - 1, heading_rows );
1388 tab_vline (tbl, TAL_1, n_cols - 1, 0, n_rows - 1);
1391 if ( fctr->indep_var[0])
1392 tab_text (tbl, 1, 0, TAT_TITLE, var_to_string (fctr->indep_var[0]));
1394 if ( fctr->indep_var[1])
1395 tab_text (tbl, 2, 0, TAT_TITLE, var_to_string (fctr->indep_var[1]));
1397 for (v = 0 ; v < n_dep_var ; ++v )
1402 const int row_var_start =
1403 v * DESCRIPTIVE_ROWS * ll_count(&fctr->result_list);
1407 heading_rows + row_var_start,
1408 TAB_LEFT | TAT_TITLE,
1409 var_to_string (dependent_var[v])
1412 for (ll = ll_head (&fctr->result_list);
1413 ll != ll_null (&fctr->result_list); i++, ll = ll_next (ll))
1415 const struct factor_result *result =
1416 ll_data (ll, struct factor_result, ll);
1419 gsl_cdf_tdist_Qinv ((1 - cmd.n_cinterval[0] / 100.0) / 2.0,
1420 result->metrics[v].n - 1);
1422 if ( i > 0 || v > 0 )
1424 const int left_col = (i == 0) ? 0 : 1;
1425 tab_hline (tbl, TAL_1, left_col, n_cols - 1,
1426 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS);
1429 if ( fctr->indep_var[0])
1432 ds_init_empty (&vstr);
1433 var_append_value_name (fctr->indep_var[0],
1434 &result->value[0], &vstr);
1437 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1446 tab_text (tbl, n_cols - 4,
1447 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1451 tab_text_format (tbl, n_cols - 4,
1452 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1454 _("%g%% Confidence Interval for Mean"),
1455 cmd.n_cinterval[0]);
1457 tab_text (tbl, n_cols - 3,
1458 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1462 tab_text (tbl, n_cols - 3,
1463 heading_rows + row_var_start + 2 + i * DESCRIPTIVE_ROWS,
1467 tab_text (tbl, n_cols - 4,
1468 heading_rows + row_var_start + 3 + i * DESCRIPTIVE_ROWS,
1469 TAB_LEFT, _("5% Trimmed Mean"));
1471 tab_text (tbl, n_cols - 4,
1472 heading_rows + row_var_start + 4 + i * DESCRIPTIVE_ROWS,
1476 tab_text (tbl, n_cols - 4,
1477 heading_rows + row_var_start + 5 + i * DESCRIPTIVE_ROWS,
1481 tab_text (tbl, n_cols - 4,
1482 heading_rows + row_var_start + 6 + i * DESCRIPTIVE_ROWS,
1484 _("Std. Deviation"));
1486 tab_text (tbl, n_cols - 4,
1487 heading_rows + row_var_start + 7 + i * DESCRIPTIVE_ROWS,
1491 tab_text (tbl, n_cols - 4,
1492 heading_rows + row_var_start + 8 + i * DESCRIPTIVE_ROWS,
1496 tab_text (tbl, n_cols - 4,
1497 heading_rows + row_var_start + 9 + i * DESCRIPTIVE_ROWS,
1501 tab_text (tbl, n_cols - 4,
1502 heading_rows + row_var_start + 10 + i * DESCRIPTIVE_ROWS,
1504 _("Interquartile Range"));
1507 tab_text (tbl, n_cols - 4,
1508 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1512 tab_text (tbl, n_cols - 4,
1513 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1518 /* Now the statistics ... */
1520 tab_double (tbl, n_cols - 2,
1521 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1523 result->metrics[v].mean,
1526 tab_double (tbl, n_cols - 1,
1527 heading_rows + row_var_start + i * DESCRIPTIVE_ROWS,
1529 result->metrics[v].se_mean,
1533 tab_double (tbl, n_cols - 2,
1534 heading_rows + row_var_start + 1 + i * DESCRIPTIVE_ROWS,
1536 result->metrics[v].mean - t *
1537 result->metrics[v].se_mean,
1540 tab_double (tbl, n_cols - 2,
1541 heading_rows + row_var_start + 2 + i * DESCRIPTIVE_ROWS,
1543 result->metrics[v].mean + t *
1544 result->metrics[v].se_mean,
1548 tab_double (tbl, n_cols - 2,
1549 heading_rows + row_var_start + 3 + i * DESCRIPTIVE_ROWS,
1551 trimmed_mean_calculate (result->metrics[v].trimmed_mean),
1555 tab_double (tbl, n_cols - 2,
1556 heading_rows + row_var_start + 4 + i * DESCRIPTIVE_ROWS,
1558 percentile_calculate (result->metrics[v].quartiles[1], percentile_algorithm),
1562 tab_double (tbl, n_cols - 2,
1563 heading_rows + row_var_start + 5 + i * DESCRIPTIVE_ROWS,
1565 result->metrics[v].variance,
1568 tab_double (tbl, n_cols - 2,
1569 heading_rows + row_var_start + 6 + i * DESCRIPTIVE_ROWS,
1571 sqrt (result->metrics[v].variance),
1574 tab_double (tbl, n_cols - 2,
1575 heading_rows + row_var_start + 10 + i * DESCRIPTIVE_ROWS,
1577 percentile_calculate (result->metrics[v].quartiles[2],
1578 percentile_algorithm) -
1579 percentile_calculate (result->metrics[v].quartiles[0],
1580 percentile_algorithm),
1584 tab_double (tbl, n_cols - 2,
1585 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1587 result->metrics[v].skewness,
1590 tab_double (tbl, n_cols - 2,
1591 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1593 result->metrics[v].kurtosis,
1596 tab_double (tbl, n_cols - 1,
1597 heading_rows + row_var_start + 11 + i * DESCRIPTIVE_ROWS,
1599 calc_seskew (result->metrics[v].n),
1602 tab_double (tbl, n_cols - 1,
1603 heading_rows + row_var_start + 12 + i * DESCRIPTIVE_ROWS,
1605 calc_sekurt (result->metrics[v].n),
1609 struct extremum *minimum, *maximum ;
1611 struct ll *max_ll = ll_head (extrema_list (result->metrics[v].maxima));
1612 struct ll *min_ll = ll_head (extrema_list (result->metrics[v].minima));
1614 maximum = ll_data (max_ll, struct extremum, ll);
1615 minimum = ll_data (min_ll, struct extremum, ll);
1617 tab_double (tbl, n_cols - 2,
1618 heading_rows + row_var_start + 7 + i * DESCRIPTIVE_ROWS,
1623 tab_double (tbl, n_cols - 2,
1624 heading_rows + row_var_start + 8 + i * DESCRIPTIVE_ROWS,
1629 tab_double (tbl, n_cols - 2,
1630 heading_rows + row_var_start + 9 + i * DESCRIPTIVE_ROWS,
1632 maximum->value - minimum->value,
1638 tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
1640 tab_title (tbl, _("Descriptives"));
1642 tab_text (tbl, n_cols - 2, 0, TAB_CENTER | TAT_TITLE,
1645 tab_text (tbl, n_cols - 1, 0, TAB_CENTER | TAT_TITLE,
1654 show_extremes (const struct variable **dependent_var,
1656 const struct xfactor *fctr)
1659 int heading_columns = 3;
1661 const int heading_rows = 1;
1662 struct tab_table *tbl;
1669 if ( fctr->indep_var[0] )
1671 heading_columns = 4;
1673 if ( fctr->indep_var[1] )
1675 heading_columns = 5;
1679 n_rows *= ll_count (&fctr->result_list) * cmd.st_n * 2;
1680 n_rows += heading_rows;
1682 n_cols = heading_columns + 2;
1684 tbl = tab_create (n_cols, n_rows);
1685 tab_headers (tbl, heading_columns, 0, heading_rows, 0);
1687 tab_dim (tbl, tab_natural_dimensions, NULL, NULL);
1689 /* Outline the box */
1694 n_cols - 1, n_rows - 1);
1697 tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows );
1698 tab_hline (tbl, TAL_2, 1, n_cols - 1, heading_rows );
1699 tab_vline (tbl, TAL_1, n_cols - 1, 0, n_rows - 1);
1701 if ( fctr->indep_var[0])
1702 tab_text (tbl, 1, 0, TAT_TITLE, var_to_string (fctr->indep_var[0]));
1704 if ( fctr->indep_var[1])
1705 tab_text (tbl, 2, 0, TAT_TITLE, var_to_string (fctr->indep_var[1]));
1707 for (v = 0 ; v < n_dep_var ; ++v )
1711 const int row_var_start = v * cmd.st_n * 2 * ll_count(&fctr->result_list);
1715 heading_rows + row_var_start,
1716 TAB_LEFT | TAT_TITLE,
1717 var_to_string (dependent_var[v])
1720 for (ll = ll_head (&fctr->result_list);
1721 ll != ll_null (&fctr->result_list); i++, ll = ll_next (ll))
1726 const int row_result_start = i * cmd.st_n * 2;
1728 const struct factor_result *result =
1729 ll_data (ll, struct factor_result, ll);
1732 tab_hline (tbl, TAL_1, 1, n_cols - 1,
1733 heading_rows + row_var_start + row_result_start);
1735 tab_hline (tbl, TAL_1, heading_columns - 2, n_cols - 1,
1736 heading_rows + row_var_start + row_result_start + cmd.st_n);
1738 for ( e = 1; e <= cmd.st_n; ++e )
1740 tab_text_format (tbl, n_cols - 3,
1741 heading_rows + row_var_start + row_result_start + e - 1,
1745 tab_text_format (tbl, n_cols - 3,
1746 heading_rows + row_var_start + row_result_start + cmd.st_n + e - 1,
1752 min_ll = ll_head (extrema_list (result->metrics[v].minima));
1753 for (e = 0; e < cmd.st_n;)
1755 struct extremum *minimum = ll_data (min_ll, struct extremum, ll);
1756 double weight = minimum->weight;
1758 while (weight-- > 0 && e < cmd.st_n)
1760 tab_double (tbl, n_cols - 1,
1761 heading_rows + row_var_start + row_result_start + cmd.st_n + e,
1767 tab_fixed (tbl, n_cols - 2,
1768 heading_rows + row_var_start +
1769 row_result_start + cmd.st_n + e,
1776 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);
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, ")");