1 /* PSPP - a program for statistical analysis.
2 Copyright (C) 2021 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/>. */
21 #include "data/casereader.h"
22 #include "data/dataset.h"
23 #include "data/dictionary.h"
24 #include "data/mrset.h"
25 #include "language/command.h"
26 #include "language/lexer/format-parser.h"
27 #include "language/lexer/lexer.h"
28 #include "language/lexer/variable-parser.h"
29 #include "libpspp/array.h"
30 #include "libpspp/assertion.h"
31 #include "libpspp/hash-functions.h"
32 #include "libpspp/hmap.h"
33 #include "libpspp/message.h"
34 #include "libpspp/string-array.h"
35 #include "math/moments.h"
36 #include "output/pivot-table.h"
38 #include "gl/minmax.h"
39 #include "gl/xalloc.h"
42 #define _(msgid) gettext (msgid)
43 #define N_(msgid) (msgid)
47 CTVL_NONE = SETTINGS_VALUE_SHOW_DEFAULT,
48 CTVL_NAME = SETTINGS_VALUE_SHOW_VALUE,
49 CTVL_LABEL = SETTINGS_VALUE_SHOW_LABEL,
50 CTVL_BOTH = SETTINGS_VALUE_SHOW_BOTH,
54 - unweighted summaries (U*)
55 - lower confidence limits (*.LCL)
56 - upper confidence limits (*.UCL)
57 - standard error (*.SE)
60 /* All variables. */ \
61 S(CTSF_COUNT, "COUNT", N_("Count"), CTF_COUNT, CTFA_ALL) \
62 S(CTSF_ECOUNT, "ECOUNT", N_("Adjusted Count"), CTF_COUNT, CTFA_ALL) \
63 S(CTSF_ROWPCT_COUNT, "ROWPCT.COUNT", N_("Row %"), CTF_PERCENT, CTFA_ALL) \
64 S(CTSF_COLPCT_COUNT, "COLPCT.COUNT", N_("Column %"), CTF_PERCENT, CTFA_ALL) \
65 S(CTSF_TABLEPCT_COUNT, "TABLEPCT.COUNT", N_("Table %"), CTF_PERCENT, CTFA_ALL) \
66 S(CTSF_SUBTABLEPCT_COUNT, "SUBTABLEPCT.COUNT", N_("Subtable %"), CTF_PERCENT, CTFA_ALL) \
67 S(CTSF_LAYERPCT_COUNT, "LAYERPCT.COUNT", N_("Layer %"), CTF_PERCENT, CTFA_ALL) \
68 S(CTSF_LAYERROWPCT_COUNT, "LAYERROWPCT.COUNT", N_("Layer Row %"), CTF_PERCENT, CTFA_ALL) \
69 S(CTSF_LAYERCOLPCT_COUNT, "LAYERCOLPCT.COUNT", N_("Layer Column %"), CTF_PERCENT, CTFA_ALL) \
70 S(CTSF_ROWPCT_VALIDN, "ROWPCT.VALIDN", N_("Row Valid N %"), CTF_PERCENT, CTFA_ALL) \
71 S(CTSF_COLPCT_VALIDN, "COLPCT.VALIDN", N_("Column Valid N %"), CTF_PERCENT, CTFA_ALL) \
72 S(CTSF_TABLEPCT_VALIDN, "TABLEPCT.VALIDN", N_("Table Valid N %"), CTF_PERCENT, CTFA_ALL) \
73 S(CTSF_SUBTABLEPCT_VALIDN, "SUBTABLEPCT.VALIDN", N_("Subtable Valid N %"), CTF_PERCENT, CTFA_ALL) \
74 S(CTSF_LAYERPCT_VALIDN, "LAYERPCT.VALIDN", N_("Layer Valid N %"), CTF_PERCENT, CTFA_ALL) \
75 S(CTSF_LAYERROWPCT_VALIDN, "LAYERROWPCT.VALIDN", N_("Layer Row Valid N %"), CTF_PERCENT, CTFA_ALL) \
76 S(CTSF_LAYERCOLPCT_VALIDN, "LAYERCOLPCT.VALIDN", N_("Layer Column Valid N %"), CTF_PERCENT, CTFA_ALL) \
77 S(CTSF_ROWPCT_TOTALN, "ROWPCT.TOTALN", N_("Row Total N %"), CTF_PERCENT, CTFA_ALL) \
78 S(CTSF_COLPCT_TOTALN, "COLPCT.TOTALN", N_("Column Total N %"), CTF_PERCENT, CTFA_ALL) \
79 S(CTSF_TABLEPCT_TOTALN, "TABLEPCT.TOTALN", N_("Table Total N %"), CTF_PERCENT, CTFA_ALL) \
80 S(CTSF_SUBTABLEPCT_TOTALN, "SUBTABLEPCT.TOTALN", N_("Subtable Total N %"), CTF_PERCENT, CTFA_ALL) \
81 S(CTSF_LAYERPCT_TOTALN, "LAYERPCT.TOTALN", N_("Layer Total N %"), CTF_PERCENT, CTFA_ALL) \
82 S(CTSF_LAYERROWPCT_TOTALN, "LAYERROWPCT.TOTALN", N_("Layer Row Total N %"), CTF_PERCENT, CTFA_ALL) \
83 S(CTSF_LAYERCOLPCT_TOTALN, "LAYERCOLPCT.TOTALN", N_("Layer Column Total N %"), CTF_PERCENT, CTFA_ALL) \
85 /* Scale variables, totals, and subtotals. */ \
86 S(CTSF_MAXIMUM, "MAXIMUM", N_("Maximum"), CTF_GENERAL, CTFA_SCALE) \
87 S(CTSF_MEAN, "MEAN", N_("Mean"), CTF_GENERAL, CTFA_SCALE) \
88 S(CTSF_MEDIAN, "MEDIAN", N_("Median"), CTF_GENERAL, CTFA_SCALE) \
89 S(CTSF_MINIMUM, "MINIMUM", N_("Minimum"), CTF_GENERAL, CTFA_SCALE) \
90 S(CTSF_MISSING, "MISSING", N_("Missing"), CTF_GENERAL, CTFA_SCALE) \
91 S(CTSF_MODE, "MODE", N_("Mode"), CTF_GENERAL, CTFA_SCALE) \
92 S(CTSF_PTILE, "PTILE", N_("Percentile"), CTF_GENERAL, CTFA_SCALE) \
93 S(CTSF_RANGE, "RANGE", N_("Range"), CTF_GENERAL, CTFA_SCALE) \
94 S(CTSF_SEMEAN, "SEMEAN", N_("Std Error of Mean"), CTF_GENERAL, CTFA_SCALE) \
95 S(CTSF_STDDEV, "STDDEV", N_("Std Deviation"), CTF_GENERAL, CTFA_SCALE) \
96 S(CTSF_SUM, "SUM", N_("Sum"), CTF_GENERAL, CTFA_SCALE) \
97 S(CSTF_TOTALN, "TOTALN", N_("Total N"), CTF_COUNT, CTFA_SCALE) \
98 S(CTSF_ETOTALN, "ETOTALN", N_("Adjusted Total N"), CTF_COUNT, CTFA_SCALE) \
99 S(CTSF_VALIDN, "VALIDN", N_("Valid N"), CTF_COUNT, CTFA_SCALE) \
100 S(CTSF_EVALIDN, "EVALIDN", N_("Adjusted Valid N"), CTF_COUNT, CTFA_SCALE) \
101 S(CTSF_VARIANCE, "VARIANCE", N_("Variance"), CTF_GENERAL, CTFA_SCALE) \
102 S(CTSF_ROWPCT_SUM, "ROWPCT.SUM", N_("Row Sum %"), CTF_PERCENT, CTFA_SCALE) \
103 S(CTSF_COLPCT_SUM, "COLPCT.SUM", N_("Column Sum %"), CTF_PERCENT, CTFA_SCALE) \
104 S(CTSF_TABLEPCT_SUM, "TABLEPCT.SUM", N_("Table Sum %"), CTF_PERCENT, CTFA_SCALE) \
105 S(CTSF_SUBTABLEPCT_SUM, "SUBTABLEPCT.SUM", N_("Subtable Sum %"), CTF_PERCENT, CTFA_SCALE) \
106 S(CTSF_LAYERPCT_SUM, "LAYERPCT.SUM", N_("Layer Sum %"), CTF_PERCENT, CTFA_SCALE) \
107 S(CTSF_LAYERROWPCT_SUM, "LAYERROWPCT.SUM", N_("Layer Row Sum %"), CTF_PERCENT, CTFA_SCALE) \
108 S(CTSF_LAYERCOLPCT_SUM, "LAYERCOLPCT.SUM", N_("Layer Column Sum %"), CTF_PERCENT, CTFA_SCALE) \
110 /* Multiple response sets. */ \
111 S(CTSF_RESPONSES, "RESPONSES", N_("Responses"), CTF_COUNT, CTFA_MRSETS) \
112 S(CTSF_ROWPCT_RESPONSES, "ROWPCT.RESPONSES", N_("Row Responses %"), CTF_PERCENT, CTFA_MRSETS) \
113 S(CTSF_COLPCT_RESPONSES, "COLPCT.RESPONSES", N_("Column Responses %"), CTF_PERCENT, CTFA_MRSETS) \
114 S(CTSF_TABLEPCT_RESPONSES, "TABLEPCT.RESPONSES", N_("Table Responses %"), CTF_PERCENT, CTFA_MRSETS) \
115 S(CTSF_SUBTABLEPCT_RESPONSES, "SUBTABLEPCT.RESPONSES", N_("Subtable Responses %"), CTF_PERCENT, CTFA_MRSETS) \
116 S(CTSF_LAYERPCT_RESPONSES, "LAYERPCT.RESPONSES", N_("Layer Responses %"), CTF_PERCENT, CTFA_MRSETS) \
117 S(CTSF_LAYERROWPCT_RESPONSES, "LAYERROWPCT.RESPONSES", N_("Layer Row Responses %"), CTF_PERCENT, CTFA_MRSETS) \
118 S(CTSF_LAYERCOLPCT_RESPONSES, "LAYERCOLPCT.RESPONSES", N_("Layer Column Responses %"), CTF_PERCENT, CTFA_MRSETS) \
119 S(CTSF_ROWPCT_RESPONSES_COUNT, "ROWPCT.RESPONSES.COUNT", N_("Row Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
120 S(CTSF_COLPCT_RESPONSES_COUNT, "COLPCT.RESPONSES.COUNT", N_("Column Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
121 S(CTSF_TABLEPCT_RESPONSES_COUNT, "TABLEPCT.RESPONSES.COUNT", N_("Table Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
122 S(CTSF_SUBTABLEPCT_RESPONSES_COUNT, "SUBTABLEPCT.RESPONSES.COUNT", N_("Subtable Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
123 S(CTSF_LAYERPCT_RESPONSES_COUNT, "LAYERPCT.RESPONSES.COUNT", N_("Layer Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
124 S(CTSF_LAYERROWPCT_RESPONSES_COUNT, "LAYERROWPCT.RESPONSES.COUNT", N_("Layer Row Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
125 S(CTSF_LAYERCOLPCT_RESPONSES_COUNT, "LAYERCOLPCT.RESPONSES.COUNT", N_("Layer Column Responses % (Base: Count)"), CTF_PERCENT, CTFA_MRSETS) \
126 S(CTSF_ROWPCT_COUNT_RESPONSES, "ROWPCT.COUNT.RESPONSES", N_("Row Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
127 S(CTSF_COLPCT_COUNT_RESPONSES, "COLPCT.COUNT.RESPONSES", N_("Column Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
128 S(CTSF_TABLEPCT_COUNT_RESPONSES, "TABLEPCT.COUNT.RESPONSES", N_("Table Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
129 S(CTSF_SUBTABLEPCT_COUNT_RESPONSES, "SUBTABLEPCT.COUNT.RESPONSES", N_("Subtable Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
130 S(CTSF_LAYERPCT_COUNT_RESPONSES, "LAYERPCT.COUNT.RESPONSES", N_("Layer Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
131 S(CTSF_LAYERROWPCT_COUNT_RESPONSES, "LAYERROWPCT.COUNT.RESPONSES", N_("Layer Row Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS) \
132 S(CTSF_LAYERCOLPCT_COUNT_RESPONSES, "LAYERCOLPCT.RESPONSES.COUNT", N_("Layer Column Count % (Base: Responses)"), CTF_PERCENT, CTFA_MRSETS)
134 enum ctables_summary_function
136 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) ENUM,
142 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) +1
143 N_CTSF_FUNCTIONS = SUMMARIES
147 enum ctables_domain_type
149 /* Within a section, where stacked variables divide one section from
151 CTDT_TABLE, /* All layers of a whole section. */
152 CTDT_LAYER, /* One layer within a section. */
153 CTDT_LAYERROW, /* Row in one layer within a section. */
154 CTDT_LAYERCOL, /* Column in one layer within a section. */
156 /* Within a subtable, where a subtable pairs an innermost row variable with
157 an innermost column variable within a single layer. */
158 CTDT_SUBTABLE, /* Whole subtable. */
159 CTDT_ROW, /* Row within a subtable. */
160 CTDT_COL, /* Column within a subtable. */
164 struct ctables_domain
166 struct hmap_node node;
168 const struct ctables_cell *example;
176 /* In struct ctables's 'cells' hmap. Indexed by all the values in all the
177 axes (except the scalar variable, if any). */
178 struct hmap_node node;
180 /* The domains that contain this cell. */
181 struct ctables_domain *domains[N_CTDTS];
189 struct ctables_cell_value
191 const struct ctables_category *category;
199 union ctables_summary *summaries;
204 struct pivot_table_look *look;
206 /* If this is NULL, zeros are displayed using the normal print format.
207 Otherwise, this string is displayed. */
210 /* If this is NULL, missing values are displayed using the normal print
211 format. Otherwise, this string is displayed. */
214 /* Indexed by variable dictionary index. */
215 enum ctables_vlabel *vlabels;
217 bool mrsets_count_duplicates; /* MRSETS. */
218 bool smissing_listwise; /* SMISSING. */
219 struct variable *base_weight; /* WEIGHT. */
220 int hide_threshold; /* HIDESMALLCOUNTS. */
222 struct ctables_table **tables;
226 struct ctables_postcompute
228 struct hmap_node hmap_node; /* In struct ctables's 'pcompute' hmap. */
229 const char *name; /* Name, without leading &. */
231 struct ctables_postcompute_expr *expr;
234 bool hide_source_cats;
237 struct ctables_postcompute_expr
239 enum ctables_postcompute_op
247 /* XXX SUBTOTAL and HSUBTOTAL */
260 /* CTPO_CAT_NUMBER, CTPO_NUMBER. */
265 XXX what about string ranges? */
268 /* CTPO_ADD, CTPO_SUB, CTPO_MUL, CTPO_DIV, CTPO_POW. */
269 struct ctables_postcompute_expr *subs[2];
273 enum ctables_label_position
280 struct ctables_summary_spec_set
282 struct ctables_summary_spec *summaries;
286 struct variable *var;
289 static void ctables_summary_spec_set_uninit (struct ctables_summary_spec_set *);
293 struct variable **vars;
296 size_t *domains[N_CTDTS];
297 size_t n_domains[N_CTDTS];
299 struct ctables_summary_spec_set cell_sss;
300 struct ctables_summary_spec_set total_sss;
303 /* A stack of nestings, e.g. this represents (...) + (...) + ... + (...). */
306 struct var_array *vas;
312 struct ctables_axis *axes[PIVOT_N_AXES];
313 struct ctables_stack stacks[PIVOT_N_AXES];
314 enum pivot_axis_type summary_axis;
316 struct hmap domains[N_CTDTS];
318 enum pivot_axis_type slabels_position;
319 bool slabels_visible;
321 enum ctables_label_position row_labels;
322 enum ctables_label_position col_labels;
324 /* Indexed by variable dictionary index. */
325 struct ctables_categories **categories;
334 struct ctables_chisq *chisq;
335 struct ctables_pairwise *pairwise;
343 struct variable *var;
344 const struct mrset *mrset;
348 static const struct fmt_spec *
349 ctables_var_get_print_format (const struct ctables_var *var)
351 return (var->is_mrset
352 ? var_get_print_format (var->mrset->vars[0])
353 : var_get_print_format (var->var));
357 ctables_var_name (const struct ctables_var *var)
359 return var->is_mrset ? var->mrset->name : var_get_name (var->var);
362 struct ctables_categories
365 struct ctables_category *cats;
370 struct ctables_category
372 enum ctables_category_type
390 struct ctables_category *subtotal;
394 double number; /* CCT_NUMBER. */
395 char *string; /* CCT_STRING. */
396 double range[2]; /* CCT_RANGE. */
397 char *total_label; /* CCT_SUBTOTAL, CCT_HSUBTOTAL, CCT_TOTAL. */
399 /* CCT_VALUE, CCT_LABEL, CCT_FUNCTION. */
402 bool include_missing;
406 enum ctables_summary_function sort_function;
407 struct variable *sort_var;
414 ctables_category_uninit (struct ctables_category *cat)
434 free (cat->total_label);
445 ctables_categories_unref (struct ctables_categories *c)
450 assert (c->n_refs > 0);
454 for (size_t i = 0; i < c->n_cats; i++)
455 ctables_category_uninit (&c->cats[i]);
460 /* Chi-square test (SIGTEST). */
468 /* Pairwise comparison test (COMPARETEST). */
469 struct ctables_pairwise
471 enum { PROP, MEAN } type;
474 bool meansvariance_allcats;
476 enum { BONFERRONI = 1, BH } adjust;
500 struct ctables_var var;
502 struct ctables_summary_spec_set cell_sss;
503 struct ctables_summary_spec_set total_sss;
507 struct ctables_axis *subs[2];
510 struct msg_location *loc;
513 static void ctables_axis_destroy (struct ctables_axis *);
522 enum ctables_function_availability
524 CTFA_ALL, /* Any variables. */
525 CTFA_SCALE, /* Only scale variables, totals, and subtotals. */
526 CTFA_MRSETS, /* Only multiple-response sets */
529 struct ctables_summary_spec
531 enum ctables_summary_function function;
532 double percentile; /* CTSF_PTILE only. */
534 struct fmt_spec format; /* XXX extra CTABLES formats */
538 ctables_summary_spec_uninit (struct ctables_summary_spec *s)
545 ctables_summary_spec_set_uninit (struct ctables_summary_spec_set *set)
547 for (size_t i = 0; i < set->n; i++)
548 ctables_summary_spec_uninit (&set->summaries[i]);
549 free (set->summaries);
553 parse_col_width (struct lexer *lexer, const char *name, double *width)
555 lex_match (lexer, T_EQUALS);
556 if (lex_match_id (lexer, "DEFAULT"))
558 else if (lex_force_num_range_closed (lexer, name, 0, DBL_MAX))
560 *width = lex_number (lexer);
570 parse_bool (struct lexer *lexer, bool *b)
572 if (lex_match_id (lexer, "NO"))
574 else if (lex_match_id (lexer, "YES"))
578 lex_error_expecting (lexer, "YES", "NO");
584 static enum ctables_function_availability
585 ctables_function_availability (enum ctables_summary_function f)
587 static enum ctables_function_availability availability[] = {
588 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = AVAILABILITY,
593 return availability[f];
597 parse_ctables_summary_function (struct lexer *lexer,
598 enum ctables_summary_function *f)
602 enum ctables_summary_function function;
603 struct substring name;
605 static struct pair names[] = {
606 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) \
607 { ENUM, SS_LITERAL_INITIALIZER (NAME) },
610 /* The .COUNT suffix may be omitted. */
611 S(CTSF_ROWPCT_COUNT, "ROWPCT", _, _, _)
612 S(CTSF_COLPCT_COUNT, "COLPCT", _, _, _)
613 S(CTSF_TABLEPCT_COUNT, "TABLEPCT", _, _, _)
614 S(CTSF_SUBTABLEPCT_COUNT, "SUBTABLEPCT", _, _, _)
615 S(CTSF_LAYERPCT_COUNT, "LAYERPCT", _, _, _)
616 S(CTSF_LAYERROWPCT_COUNT, "LAYERROWPCT", _, _, _)
617 S(CTSF_LAYERCOLPCT_COUNT, "LAYERCOLPCT", _, _, _)
621 if (!lex_force_id (lexer))
624 for (size_t i = 0; i < sizeof names / sizeof *names; i++)
625 if (ss_equals_case (names[i].name, lex_tokss (lexer)))
627 *f = names[i].function;
632 lex_error (lexer, _("Expecting summary function name."));
637 ctables_axis_destroy (struct ctables_axis *axis)
645 ctables_summary_spec_set_uninit (&axis->cell_sss);
646 ctables_summary_spec_set_uninit (&axis->total_sss);
651 ctables_axis_destroy (axis->subs[0]);
652 ctables_axis_destroy (axis->subs[1]);
655 msg_location_destroy (axis->loc);
659 static struct ctables_axis *
660 ctables_axis_new_nonterminal (enum ctables_axis_op op,
661 struct ctables_axis *sub0,
662 struct ctables_axis *sub1,
663 struct lexer *lexer, int start_ofs)
665 struct ctables_axis *axis = xmalloc (sizeof *axis);
666 *axis = (struct ctables_axis) {
668 .subs = { sub0, sub1 },
669 .loc = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1),
674 struct ctables_axis_parse_ctx
677 struct dictionary *dict;
679 struct ctables_table *t;
682 static struct fmt_spec
683 ctables_summary_default_format (enum ctables_summary_function function,
684 const struct ctables_var *var)
686 static const enum ctables_format default_formats[] = {
687 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = FORMAT,
691 switch (default_formats[function])
694 return (struct fmt_spec) { .type = FMT_F, .w = 40 };
697 return (struct fmt_spec) { .type = FMT_PCT, .w = 40, .d = 1 };
700 return *ctables_var_get_print_format (var);
708 ctables_summary_default_label (enum ctables_summary_function function,
711 static const char *default_labels[] = {
712 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = LABEL,
717 return (function == CTSF_PTILE
718 ? xasprintf (_("Percentile %.2f"), percentile)
719 : xstrdup (gettext (default_labels[function])));
723 ctables_summary_function_name (enum ctables_summary_function function)
725 static const char *names[] = {
726 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = NAME,
730 return names[function];
734 add_summary_spec (struct ctables_axis *axis,
735 enum ctables_summary_function function, double percentile,
736 const char *label, const struct fmt_spec *format,
737 const struct msg_location *loc, bool totals)
739 if (axis->op == CTAO_VAR)
741 const char *function_name = ctables_summary_function_name (function);
742 const char *var_name = ctables_var_name (&axis->var);
743 switch (ctables_function_availability (function))
746 if (!axis->var.is_mrset)
748 msg_at (SE, loc, _("Summary function %s applies only to multiple "
749 "response sets."), function_name);
750 msg_at (SN, axis->loc, _("'%s' is not a multiple response set."),
760 _("Summary function %s applies only to scale variables."),
762 msg_at (SN, axis->loc, _("'%s' is not a scale variable."),
772 struct ctables_summary_spec_set *set = (totals ? &axis->total_sss
774 if (set->n >= set->allocated)
775 set->summaries = x2nrealloc (set->summaries, &set->allocated,
776 sizeof *set->summaries);
778 struct ctables_summary_spec *dst = &set->summaries[set->n++];
779 *dst = (struct ctables_summary_spec) {
780 .function = function,
781 .percentile = percentile,
782 .label = xstrdup (label),
783 .format = (format ? *format
784 : ctables_summary_default_format (function, &axis->var)),
790 for (size_t i = 0; i < 2; i++)
791 if (!add_summary_spec (axis->subs[i], function, percentile, label,
792 format, loc, totals))
798 static struct ctables_axis *ctables_axis_parse_stack (
799 struct ctables_axis_parse_ctx *);
802 ctables_var_parse (struct lexer *lexer, struct dictionary *dict,
803 struct ctables_var *var)
805 if (ss_starts_with (lex_tokss (lexer), ss_cstr ("$")))
807 *var = (struct ctables_var) {
809 .mrset = dict_lookup_mrset (dict, lex_tokcstr (lexer))
813 lex_error (lexer, _("'%s' does not name a multiple-response set "
814 "in the active file dictionary."),
815 lex_tokcstr (lexer));
823 *var = (struct ctables_var) {
825 .var = parse_variable (lexer, dict),
827 return var->var != NULL;
831 static struct ctables_axis *
832 ctables_axis_parse_primary (struct ctables_axis_parse_ctx *ctx)
834 if (lex_match (ctx->lexer, T_LPAREN))
836 struct ctables_axis *sub = ctables_axis_parse_stack (ctx);
837 if (!sub || !lex_force_match (ctx->lexer, T_RPAREN))
839 ctables_axis_destroy (sub);
845 if (!lex_force_id (ctx->lexer))
848 int start_ofs = lex_ofs (ctx->lexer);
849 struct ctables_var var;
850 if (!ctables_var_parse (ctx->lexer, ctx->dict, &var))
853 struct ctables_axis *axis = xmalloc (sizeof *axis);
854 *axis = (struct ctables_axis) { .op = CTAO_VAR, .var = var };
856 /* XXX should figure out default measures by reading data */
857 axis->scale = (var.is_mrset ? false
858 : lex_match_phrase (ctx->lexer, "[S]") ? true
859 : lex_match_phrase (ctx->lexer, "[C]") ? false
860 : var_get_measure (var.var) == MEASURE_SCALE);
861 axis->loc = lex_ofs_location (ctx->lexer, start_ofs,
862 lex_ofs (ctx->lexer) - 1);
866 static struct ctables_axis *
867 ctables_axis_parse_postfix (struct ctables_axis_parse_ctx *ctx)
869 struct ctables_axis *sub = ctables_axis_parse_primary (ctx);
870 if (!sub || !lex_match (ctx->lexer, T_LBRACK))
876 int start_ofs = lex_ofs (ctx->lexer);
878 /* Parse function. */
879 enum ctables_summary_function function;
880 if (!parse_ctables_summary_function (ctx->lexer, &function))
883 /* Parse percentile. */
884 double percentile = 0;
885 if (function == CTSF_PTILE)
887 if (!lex_force_num_range_closed (ctx->lexer, "PTILE", 0, 100))
889 percentile = lex_number (ctx->lexer);
890 lex_get (ctx->lexer);
895 if (lex_is_string (ctx->lexer))
897 label = ss_xstrdup (lex_tokss (ctx->lexer));
898 lex_get (ctx->lexer);
901 label = ctables_summary_default_label (function, percentile);
904 struct fmt_spec format;
905 const struct fmt_spec *formatp;
906 if (lex_token (ctx->lexer) == T_ID)
908 if (!parse_format_specifier (ctx->lexer, &format)
909 || !fmt_check_output (&format)
910 || !fmt_check_type_compat (&format, VAL_NUMERIC))
920 struct msg_location *loc = lex_ofs_location (ctx->lexer, start_ofs,
921 lex_ofs (ctx->lexer) - 1);
922 add_summary_spec (sub, function, percentile, label, formatp, loc,
925 msg_location_destroy (loc);
927 if (lex_match (ctx->lexer, T_COMMA))
929 if (!totals && lex_match_id (ctx->lexer, "TOTALS"))
931 if (!lex_force_match (ctx->lexer, T_LBRACK))
936 else if (lex_force_match (ctx->lexer, T_RBRACK))
938 if (totals && !lex_force_match (ctx->lexer, T_RBRACK))
947 ctables_axis_destroy (sub);
951 static const struct ctables_axis *
952 find_scale (const struct ctables_axis *axis)
956 else if (axis->op == CTAO_VAR)
960 assert (!axis->var.is_mrset);
968 for (size_t i = 0; i < 2; i++)
970 const struct ctables_axis *scale = find_scale (axis->subs[i]);
978 static const struct ctables_axis *
979 find_categorical_summary_spec (const struct ctables_axis *axis)
983 else if (axis->op == CTAO_VAR)
984 return !axis->scale && axis->cell_sss.n ? axis : NULL;
987 for (size_t i = 0; i < 2; i++)
989 const struct ctables_axis *sum
990 = find_categorical_summary_spec (axis->subs[i]);
998 static struct ctables_axis *
999 ctables_axis_parse_nest (struct ctables_axis_parse_ctx *ctx)
1001 int start_ofs = lex_ofs (ctx->lexer);
1002 struct ctables_axis *lhs = ctables_axis_parse_postfix (ctx);
1006 while (lex_match (ctx->lexer, T_GT))
1008 struct ctables_axis *rhs = ctables_axis_parse_postfix (ctx);
1012 struct ctables_axis *nest = ctables_axis_new_nonterminal (
1013 CTAO_NEST, lhs, rhs, ctx->lexer, start_ofs);
1015 const struct ctables_axis *outer_scale = find_scale (lhs);
1016 const struct ctables_axis *inner_scale = find_scale (rhs);
1017 if (outer_scale && inner_scale)
1019 msg_at (SE, nest->loc, _("Cannot nest scale variables."));
1020 msg_at (SN, outer_scale->loc, _("This is an outer scale variable."));
1021 msg_at (SN, inner_scale->loc, _("This is an inner scale variable."));
1022 ctables_axis_destroy (nest);
1026 const struct ctables_axis *outer_sum = find_categorical_summary_spec (lhs);
1029 msg_at (SE, nest->loc,
1030 _("Summaries may only be requested for categorical variables "
1031 "at the innermost nesting level."));
1032 msg_at (SN, outer_sum->loc,
1033 _("This outer categorical variable has a summary."));
1034 ctables_axis_destroy (nest);
1044 static struct ctables_axis *
1045 ctables_axis_parse_stack (struct ctables_axis_parse_ctx *ctx)
1047 int start_ofs = lex_ofs (ctx->lexer);
1048 struct ctables_axis *lhs = ctables_axis_parse_nest (ctx);
1052 while (lex_match (ctx->lexer, T_PLUS))
1054 struct ctables_axis *rhs = ctables_axis_parse_nest (ctx);
1058 lhs = ctables_axis_new_nonterminal (CTAO_STACK, lhs, rhs,
1059 ctx->lexer, start_ofs);
1066 ctables_axis_parse (struct lexer *lexer, struct dictionary *dict,
1067 struct ctables *ct, struct ctables_table *t,
1068 enum pivot_axis_type a)
1070 if (lex_token (lexer) == T_BY
1071 || lex_token (lexer) == T_SLASH
1072 || lex_token (lexer) == T_ENDCMD)
1075 struct ctables_axis_parse_ctx ctx = {
1081 t->axes[a] = ctables_axis_parse_stack (&ctx);
1082 return t->axes[a] != NULL;
1086 ctables_chisq_destroy (struct ctables_chisq *chisq)
1092 ctables_pairwise_destroy (struct ctables_pairwise *pairwise)
1098 ctables_table_destroy (struct ctables_table *t)
1103 for (size_t i = 0; i < t->n_categories; i++)
1104 ctables_categories_unref (t->categories[i]);
1105 free (t->categories);
1107 ctables_axis_destroy (t->axes[PIVOT_AXIS_COLUMN]);
1108 ctables_axis_destroy (t->axes[PIVOT_AXIS_ROW]);
1109 ctables_axis_destroy (t->axes[PIVOT_AXIS_LAYER]);
1113 ctables_chisq_destroy (t->chisq);
1114 ctables_pairwise_destroy (t->pairwise);
1119 ctables_destroy (struct ctables *ct)
1124 pivot_table_look_unref (ct->look);
1128 for (size_t i = 0; i < ct->n_tables; i++)
1129 ctables_table_destroy (ct->tables[i]);
1134 static struct ctables_category
1135 cct_range (double low, double high)
1137 return (struct ctables_category) {
1139 .range = { low, high }
1144 ctables_table_parse_categories (struct lexer *lexer, struct dictionary *dict,
1145 struct ctables_table *t)
1147 if (!lex_match_id (lexer, "VARIABLES"))
1149 lex_match (lexer, T_EQUALS);
1151 struct variable **vars;
1153 if (!parse_variables (lexer, dict, &vars, &n_vars, PV_NO_SCRATCH))
1156 struct ctables_categories *c = xmalloc (sizeof *c);
1157 *c = (struct ctables_categories) { .n_refs = n_vars };
1158 for (size_t i = 0; i < n_vars; i++)
1160 struct ctables_categories **cp
1161 = &t->categories[var_get_dict_index (vars[i])];
1162 ctables_categories_unref (*cp);
1167 size_t allocated_cats = 0;
1168 if (lex_match (lexer, T_LBRACK))
1172 if (c->n_cats >= allocated_cats)
1173 c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
1175 struct ctables_category *cat = &c->cats[c->n_cats];
1176 if (lex_match_id (lexer, "OTHERNM"))
1177 cat->type = CCT_OTHERNM;
1178 else if (lex_match_id (lexer, "MISSING"))
1179 cat->type = CCT_MISSING;
1180 else if (lex_match_id (lexer, "SUBTOTAL"))
1181 *cat = (struct ctables_category)
1182 { .type = CCT_SUBTOTAL, .total_label = NULL };
1183 else if (lex_match_id (lexer, "HSUBTOTAL"))
1184 *cat = (struct ctables_category)
1185 { .type = CCT_HSUBTOTAL, .total_label = NULL };
1186 else if (lex_match_id (lexer, "LO"))
1188 if (!lex_force_match_id (lexer, "THRU") || lex_force_num (lexer))
1190 *cat = cct_range (-DBL_MAX, lex_number (lexer));
1193 else if (lex_is_number (lexer))
1195 double number = lex_number (lexer);
1197 if (lex_match_id (lexer, "THRU"))
1199 cat->type = CCT_RANGE;
1200 cat->range[0] = number;
1201 if (lex_match_id (lexer, "HI"))
1202 *cat = cct_range (number, DBL_MAX);
1205 if (!lex_force_num (lexer))
1207 *cat = cct_range (number, lex_number (lexer));
1212 *cat = (struct ctables_category) {
1217 else if (lex_is_string (lexer))
1219 *cat = (struct ctables_category) {
1221 .string = ss_xstrdup (lex_tokss (lexer)),
1227 lex_error (lexer, NULL);
1231 if (cat->type == CCT_SUBTOTAL || cat->type == CCT_HSUBTOTAL)
1233 if (lex_match (lexer, T_EQUALS))
1235 if (!lex_force_string (lexer))
1238 cat->total_label = ss_xstrdup (lex_tokss (lexer));
1242 cat->total_label = xstrdup (_("Subtotal"));
1246 lex_match (lexer, T_COMMA);
1248 while (!lex_match (lexer, T_RBRACK));
1251 struct ctables_category cat = {
1253 .include_missing = false,
1254 .sort_ascending = true,
1256 bool show_totals = false;
1257 char *total_label = NULL;
1258 bool totals_before = false;
1259 while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
1261 if (!c->n_cats && lex_match_id (lexer, "ORDER"))
1263 lex_match (lexer, T_EQUALS);
1264 if (lex_match_id (lexer, "A"))
1265 cat.sort_ascending = true;
1266 else if (lex_match_id (lexer, "D"))
1267 cat.sort_ascending = false;
1270 lex_error_expecting (lexer, "A", "D");
1274 else if (!c->n_cats && lex_match_id (lexer, "KEY"))
1276 lex_match (lexer, T_EQUALS);
1277 if (lex_match_id (lexer, "VALUE"))
1278 cat.type = CCT_VALUE;
1279 else if (lex_match_id (lexer, "LABEL"))
1280 cat.type = CCT_LABEL;
1283 cat.type = CCT_FUNCTION;
1284 if (!parse_ctables_summary_function (lexer, &cat.sort_function))
1287 if (lex_match (lexer, T_LPAREN))
1289 cat.sort_var = parse_variable (lexer, dict);
1293 if (cat.sort_function == CTSF_PTILE)
1295 lex_match (lexer, T_COMMA);
1296 if (!lex_force_num_range_closed (lexer, "PTILE", 0, 100))
1298 cat.percentile = lex_number (lexer);
1302 if (!lex_force_match (lexer, T_RPAREN))
1305 else if (ctables_function_availability (cat.sort_function)
1308 bool UNUSED b = lex_force_match (lexer, T_LPAREN);
1313 else if (!c->n_cats && lex_match_id (lexer, "MISSING"))
1315 lex_match (lexer, T_EQUALS);
1316 if (lex_match_id (lexer, "INCLUDE"))
1317 cat.include_missing = true;
1318 else if (lex_match_id (lexer, "EXCLUDE"))
1319 cat.include_missing = false;
1322 lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
1326 else if (lex_match_id (lexer, "TOTAL"))
1328 lex_match (lexer, T_EQUALS);
1329 if (!parse_bool (lexer, &show_totals))
1332 else if (lex_match_id (lexer, "LABEL"))
1334 lex_match (lexer, T_EQUALS);
1335 if (!lex_force_string (lexer))
1338 total_label = ss_xstrdup (lex_tokss (lexer));
1341 else if (lex_match_id (lexer, "POSITION"))
1343 lex_match (lexer, T_EQUALS);
1344 if (lex_match_id (lexer, "BEFORE"))
1345 totals_before = true;
1346 else if (lex_match_id (lexer, "AFTER"))
1347 totals_before = false;
1350 lex_error_expecting (lexer, "BEFORE", "AFTER");
1354 else if (lex_match_id (lexer, "EMPTY"))
1356 lex_match (lexer, T_EQUALS);
1357 if (lex_match_id (lexer, "INCLUDE"))
1358 c->show_empty = true;
1359 else if (lex_match_id (lexer, "EXCLUDE"))
1360 c->show_empty = false;
1363 lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
1370 lex_error_expecting (lexer, "ORDER", "KEY", "MISSING",
1371 "TOTAL", "LABEL", "POSITION", "EMPTY");
1373 lex_error_expecting (lexer, "TOTAL", "LABEL", "POSITION", "EMPTY");
1380 if (c->n_cats >= allocated_cats)
1381 c->cats = x2nrealloc (c->cats, &allocated_cats,
1383 c->cats[c->n_cats++] = cat;
1388 if (c->n_cats >= allocated_cats)
1389 c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
1391 struct ctables_category *totals;
1394 insert_element (c->cats, c->n_cats, sizeof *c->cats, 0);
1395 totals = &c->cats[0];
1398 totals = &c->cats[c->n_cats];
1401 *totals = (struct ctables_category) {
1403 .total_label = total_label ? total_label : xstrdup (_("Total")),
1407 struct ctables_category *subtotal = NULL;
1408 for (size_t i = totals_before ? 0 : c->n_cats;
1409 totals_before ? i < c->n_cats : i-- > 0;
1410 totals_before ? i++ : 0)
1412 struct ctables_category *cat = &c->cats[i];
1420 cat->subtotal = subtotal;
1440 var_array_uninit (struct var_array *va)
1447 ctables_stack_uninit (struct ctables_stack *stack)
1451 for (size_t i = 0; i < stack->n; i++)
1452 var_array_uninit (&stack->vas[i]);
1457 static struct ctables_stack
1458 nest_fts (struct ctables_stack va0, struct ctables_stack va1)
1465 struct ctables_stack stack = { .vas = xnmalloc (va0.n, va1.n * sizeof *stack.vas) };
1466 for (size_t i = 0; i < va0.n; i++)
1467 for (size_t j = 0; j < va1.n; j++)
1469 const struct var_array *a = &va0.vas[i];
1470 const struct var_array *b = &va1.vas[j];
1472 size_t allocate = a->n + b->n;
1473 struct variable **vars = xnmalloc (allocate, sizeof *vars);
1474 enum pivot_axis_type *axes = xnmalloc (allocate, sizeof *axes);
1476 for (size_t k = 0; k < a->n; k++)
1477 vars[n++] = a->vars[k];
1478 for (size_t k = 0; k < b->n; k++)
1479 vars[n++] = b->vars[k];
1480 assert (n == allocate);
1482 const struct var_array *summary_src;
1483 if (!a->cell_sss.var)
1485 else if (!b->cell_sss.var)
1489 stack.vas[stack.n++] = (struct var_array) {
1491 .scale_idx = (a->scale_idx != SIZE_MAX ? a->scale_idx
1492 : b->scale_idx != SIZE_MAX ? a->n + b->scale_idx
1495 .cell_sss = summary_src->cell_sss,
1496 .total_sss = summary_src->total_sss,
1499 ctables_stack_uninit (&va0);
1500 ctables_stack_uninit (&va1);
1504 static struct ctables_stack
1505 stack_fts (struct ctables_stack s0, struct ctables_stack s1)
1507 struct ctables_stack stack = { .vas = xnmalloc (s0.n + s1.n, sizeof *stack.vas) };
1508 for (size_t i = 0; i < s0.n; i++)
1509 stack.vas[stack.n++] = s0.vas[i];
1510 for (size_t i = 0; i < s1.n; i++)
1511 stack.vas[stack.n++] = s1.vas[i];
1512 assert (stack.n == s0.n + s1.n);
1518 static struct ctables_stack
1519 enumerate_fts (enum pivot_axis_type axis_type, const struct ctables_axis *a)
1522 return (struct ctables_stack) { .n = 0 };
1527 assert (!a->var.is_mrset);
1529 struct variable **vars = xmalloc (sizeof *vars);
1532 struct var_array *va = xmalloc (sizeof *va);
1533 *va = (struct var_array) {
1536 .scale_idx = a->scale ? 0 : SIZE_MAX,
1538 if (a->cell_sss.n || a->scale)
1540 va->cell_sss = a->cell_sss;
1541 va->total_sss = a->total_sss;
1542 va->cell_sss.var = a->var.var;
1543 va->total_sss.var = a->var.var;
1545 return (struct ctables_stack) { .vas = va, .n = 1 };
1548 return stack_fts (enumerate_fts (axis_type, a->subs[0]),
1549 enumerate_fts (axis_type, a->subs[1]));
1552 return nest_fts (enumerate_fts (axis_type, a->subs[0]),
1553 enumerate_fts (axis_type, a->subs[1]));
1559 union ctables_summary
1561 /* COUNT, VALIDN, TOTALN. */
1568 /* MINIMUM, MAXIMUM, RANGE. */
1575 /* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
1576 struct moments1 *moments;
1578 /* XXX percentiles, median, mode, multiple response */
1582 ctables_summary_init (union ctables_summary *s,
1583 const struct ctables_summary_spec *ss)
1585 switch (ss->function)
1589 case CTSF_ROWPCT_COUNT:
1590 case CTSF_COLPCT_COUNT:
1591 case CTSF_TABLEPCT_COUNT:
1592 case CTSF_SUBTABLEPCT_COUNT:
1593 case CTSF_LAYERPCT_COUNT:
1594 case CTSF_LAYERROWPCT_COUNT:
1595 case CTSF_LAYERCOLPCT_COUNT:
1596 case CTSF_ROWPCT_VALIDN:
1597 case CTSF_COLPCT_VALIDN:
1598 case CTSF_TABLEPCT_VALIDN:
1599 case CTSF_SUBTABLEPCT_VALIDN:
1600 case CTSF_LAYERPCT_VALIDN:
1601 case CTSF_LAYERROWPCT_VALIDN:
1602 case CTSF_LAYERCOLPCT_VALIDN:
1603 case CTSF_ROWPCT_TOTALN:
1604 case CTSF_COLPCT_TOTALN:
1605 case CTSF_TABLEPCT_TOTALN:
1606 case CTSF_SUBTABLEPCT_TOTALN:
1607 case CTSF_LAYERPCT_TOTALN:
1608 case CTSF_LAYERROWPCT_TOTALN:
1609 case CTSF_LAYERCOLPCT_TOTALN:
1614 s->missing = s->valid = 0;
1620 s->min = s->max = SYSMIS;
1628 case CTSF_ROWPCT_SUM:
1629 case CTSF_COLPCT_SUM:
1630 case CTSF_TABLEPCT_SUM:
1631 case CTSF_SUBTABLEPCT_SUM:
1632 case CTSF_LAYERPCT_SUM:
1633 case CTSF_LAYERROWPCT_SUM:
1634 case CTSF_LAYERCOLPCT_SUM:
1635 s->moments = moments1_create (MOMENT_VARIANCE);
1644 case CTSF_RESPONSES:
1645 case CTSF_ROWPCT_RESPONSES:
1646 case CTSF_COLPCT_RESPONSES:
1647 case CTSF_TABLEPCT_RESPONSES:
1648 case CTSF_SUBTABLEPCT_RESPONSES:
1649 case CTSF_LAYERPCT_RESPONSES:
1650 case CTSF_LAYERROWPCT_RESPONSES:
1651 case CTSF_LAYERCOLPCT_RESPONSES:
1652 case CTSF_ROWPCT_RESPONSES_COUNT:
1653 case CTSF_COLPCT_RESPONSES_COUNT:
1654 case CTSF_TABLEPCT_RESPONSES_COUNT:
1655 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1656 case CTSF_LAYERPCT_RESPONSES_COUNT:
1657 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1658 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1659 case CTSF_ROWPCT_COUNT_RESPONSES:
1660 case CTSF_COLPCT_COUNT_RESPONSES:
1661 case CTSF_TABLEPCT_COUNT_RESPONSES:
1662 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1663 case CTSF_LAYERPCT_COUNT_RESPONSES:
1664 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1665 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1671 ctables_summary_uninit (union ctables_summary *s,
1672 const struct ctables_summary_spec *ss)
1674 switch (ss->function)
1678 case CTSF_ROWPCT_COUNT:
1679 case CTSF_COLPCT_COUNT:
1680 case CTSF_TABLEPCT_COUNT:
1681 case CTSF_SUBTABLEPCT_COUNT:
1682 case CTSF_LAYERPCT_COUNT:
1683 case CTSF_LAYERROWPCT_COUNT:
1684 case CTSF_LAYERCOLPCT_COUNT:
1685 case CTSF_ROWPCT_VALIDN:
1686 case CTSF_COLPCT_VALIDN:
1687 case CTSF_TABLEPCT_VALIDN:
1688 case CTSF_SUBTABLEPCT_VALIDN:
1689 case CTSF_LAYERPCT_VALIDN:
1690 case CTSF_LAYERROWPCT_VALIDN:
1691 case CTSF_LAYERCOLPCT_VALIDN:
1692 case CTSF_ROWPCT_TOTALN:
1693 case CTSF_COLPCT_TOTALN:
1694 case CTSF_TABLEPCT_TOTALN:
1695 case CTSF_SUBTABLEPCT_TOTALN:
1696 case CTSF_LAYERPCT_TOTALN:
1697 case CTSF_LAYERROWPCT_TOTALN:
1698 case CTSF_LAYERCOLPCT_TOTALN:
1715 case CTSF_ROWPCT_SUM:
1716 case CTSF_COLPCT_SUM:
1717 case CTSF_TABLEPCT_SUM:
1718 case CTSF_SUBTABLEPCT_SUM:
1719 case CTSF_LAYERPCT_SUM:
1720 case CTSF_LAYERROWPCT_SUM:
1721 case CTSF_LAYERCOLPCT_SUM:
1722 moments1_destroy (s->moments);
1731 case CTSF_RESPONSES:
1732 case CTSF_ROWPCT_RESPONSES:
1733 case CTSF_COLPCT_RESPONSES:
1734 case CTSF_TABLEPCT_RESPONSES:
1735 case CTSF_SUBTABLEPCT_RESPONSES:
1736 case CTSF_LAYERPCT_RESPONSES:
1737 case CTSF_LAYERROWPCT_RESPONSES:
1738 case CTSF_LAYERCOLPCT_RESPONSES:
1739 case CTSF_ROWPCT_RESPONSES_COUNT:
1740 case CTSF_COLPCT_RESPONSES_COUNT:
1741 case CTSF_TABLEPCT_RESPONSES_COUNT:
1742 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1743 case CTSF_LAYERPCT_RESPONSES_COUNT:
1744 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1745 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1746 case CTSF_ROWPCT_COUNT_RESPONSES:
1747 case CTSF_COLPCT_COUNT_RESPONSES:
1748 case CTSF_TABLEPCT_COUNT_RESPONSES:
1749 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1750 case CTSF_LAYERPCT_COUNT_RESPONSES:
1751 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1752 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1758 ctables_summary_add (union ctables_summary *s,
1759 const struct ctables_summary_spec *ss,
1760 const struct variable *var, const union value *value,
1763 switch (ss->function)
1767 case CTSF_ROWPCT_COUNT:
1768 case CTSF_COLPCT_COUNT:
1769 case CTSF_TABLEPCT_COUNT:
1770 case CTSF_SUBTABLEPCT_COUNT:
1771 case CTSF_LAYERPCT_COUNT:
1772 case CTSF_LAYERROWPCT_COUNT:
1773 case CTSF_LAYERCOLPCT_COUNT:
1774 case CTSF_ROWPCT_VALIDN:
1775 case CTSF_COLPCT_VALIDN:
1776 case CTSF_TABLEPCT_VALIDN:
1777 case CTSF_SUBTABLEPCT_VALIDN:
1778 case CTSF_LAYERPCT_VALIDN:
1779 case CTSF_LAYERROWPCT_VALIDN:
1780 case CTSF_LAYERCOLPCT_VALIDN:
1781 case CTSF_ROWPCT_TOTALN:
1782 case CTSF_COLPCT_TOTALN:
1783 case CTSF_TABLEPCT_TOTALN:
1784 case CTSF_SUBTABLEPCT_TOTALN:
1785 case CTSF_LAYERPCT_TOTALN:
1786 case CTSF_LAYERROWPCT_TOTALN:
1787 case CTSF_LAYERCOLPCT_TOTALN:
1792 if (var_is_value_missing (var, value))
1793 s->missing += weight;
1801 if (!var_is_value_missing (var, value))
1803 assert (!var_is_alpha (var)); /* XXX? */
1804 if (s->min == SYSMIS || value->f < s->min)
1806 if (s->max == SYSMIS || value->f > s->max)
1816 case CTSF_ROWPCT_SUM:
1817 case CTSF_COLPCT_SUM:
1818 case CTSF_TABLEPCT_SUM:
1819 case CTSF_SUBTABLEPCT_SUM:
1820 case CTSF_LAYERPCT_SUM:
1821 case CTSF_LAYERROWPCT_SUM:
1822 case CTSF_LAYERCOLPCT_SUM:
1823 moments1_add (s->moments, value->f, weight);
1832 case CTSF_RESPONSES:
1833 case CTSF_ROWPCT_RESPONSES:
1834 case CTSF_COLPCT_RESPONSES:
1835 case CTSF_TABLEPCT_RESPONSES:
1836 case CTSF_SUBTABLEPCT_RESPONSES:
1837 case CTSF_LAYERPCT_RESPONSES:
1838 case CTSF_LAYERROWPCT_RESPONSES:
1839 case CTSF_LAYERCOLPCT_RESPONSES:
1840 case CTSF_ROWPCT_RESPONSES_COUNT:
1841 case CTSF_COLPCT_RESPONSES_COUNT:
1842 case CTSF_TABLEPCT_RESPONSES_COUNT:
1843 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1844 case CTSF_LAYERPCT_RESPONSES_COUNT:
1845 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1846 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1847 case CTSF_ROWPCT_COUNT_RESPONSES:
1848 case CTSF_COLPCT_COUNT_RESPONSES:
1849 case CTSF_TABLEPCT_COUNT_RESPONSES:
1850 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1851 case CTSF_LAYERPCT_COUNT_RESPONSES:
1852 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1853 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1859 ctables_summary_value (const struct ctables_cell *cell,
1860 union ctables_summary *s,
1861 const struct ctables_summary_spec *ss)
1863 switch (ss->function)
1869 case CTSF_SUBTABLEPCT_COUNT:
1870 return cell->domains[CTDT_SUBTABLE]->valid ? s->valid / cell->domains[CTDT_SUBTABLE]->valid * 100 : SYSMIS;
1872 case CTSF_ROWPCT_COUNT:
1873 return cell->domains[CTDT_ROW]->valid ? s->valid / cell->domains[CTDT_ROW]->valid * 100 : SYSMIS;
1875 case CTSF_COLPCT_COUNT:
1876 return cell->domains[CTDT_COL]->valid ? s->valid / cell->domains[CTDT_COL]->valid * 100 : SYSMIS;
1878 case CTSF_TABLEPCT_COUNT:
1879 return cell->domains[CTDT_TABLE]->valid ? s->valid / cell->domains[CTDT_TABLE]->valid * 100 : SYSMIS;
1881 case CTSF_LAYERPCT_COUNT:
1882 return cell->domains[CTDT_LAYER]->valid ? s->valid / cell->domains[CTDT_LAYER]->valid * 100 : SYSMIS;
1884 case CTSF_LAYERROWPCT_COUNT:
1885 return cell->domains[CTDT_LAYERROW]->valid ? s->valid / cell->domains[CTDT_LAYERROW]->valid * 100 : SYSMIS;
1887 case CTSF_LAYERCOLPCT_COUNT:
1888 return cell->domains[CTDT_LAYERCOL]->valid ? s->valid / cell->domains[CTDT_LAYERCOL]->valid * 100 : SYSMIS;
1890 case CTSF_ROWPCT_VALIDN:
1891 case CTSF_COLPCT_VALIDN:
1892 case CTSF_TABLEPCT_VALIDN:
1893 case CTSF_SUBTABLEPCT_VALIDN:
1894 case CTSF_LAYERPCT_VALIDN:
1895 case CTSF_LAYERROWPCT_VALIDN:
1896 case CTSF_LAYERCOLPCT_VALIDN:
1897 case CTSF_ROWPCT_TOTALN:
1898 case CTSF_COLPCT_TOTALN:
1899 case CTSF_TABLEPCT_TOTALN:
1900 case CTSF_SUBTABLEPCT_TOTALN:
1901 case CTSF_LAYERPCT_TOTALN:
1902 case CTSF_LAYERROWPCT_TOTALN:
1903 case CTSF_LAYERCOLPCT_TOTALN:
1908 return s->valid + s->missing;
1921 return s->max != SYSMIS && s->min != SYSMIS ? s->max - s->min : SYSMIS;
1926 moments1_calculate (s->moments, NULL, &mean, NULL, NULL, NULL);
1932 double weight, variance;
1933 moments1_calculate (s->moments, &weight, NULL, &variance, NULL, NULL);
1934 return calc_semean (variance, weight);
1940 moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
1941 return variance != SYSMIS ? sqrt (variance) : SYSMIS;
1946 double weight, mean;
1947 moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
1948 return weight != SYSMIS && mean != SYSMIS ? weight * mean : SYSMIS;
1954 moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
1958 case CTSF_ROWPCT_SUM:
1959 case CTSF_COLPCT_SUM:
1960 case CTSF_TABLEPCT_SUM:
1961 case CTSF_SUBTABLEPCT_SUM:
1962 case CTSF_LAYERPCT_SUM:
1963 case CTSF_LAYERROWPCT_SUM:
1964 case CTSF_LAYERCOLPCT_SUM:
1973 case CTSF_RESPONSES:
1974 case CTSF_ROWPCT_RESPONSES:
1975 case CTSF_COLPCT_RESPONSES:
1976 case CTSF_TABLEPCT_RESPONSES:
1977 case CTSF_SUBTABLEPCT_RESPONSES:
1978 case CTSF_LAYERPCT_RESPONSES:
1979 case CTSF_LAYERROWPCT_RESPONSES:
1980 case CTSF_LAYERCOLPCT_RESPONSES:
1981 case CTSF_ROWPCT_RESPONSES_COUNT:
1982 case CTSF_COLPCT_RESPONSES_COUNT:
1983 case CTSF_TABLEPCT_RESPONSES_COUNT:
1984 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1985 case CTSF_LAYERPCT_RESPONSES_COUNT:
1986 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1987 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1988 case CTSF_ROWPCT_COUNT_RESPONSES:
1989 case CTSF_COLPCT_COUNT_RESPONSES:
1990 case CTSF_TABLEPCT_COUNT_RESPONSES:
1991 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1992 case CTSF_LAYERPCT_COUNT_RESPONSES:
1993 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1994 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
2001 struct ctables_cell_sort_aux
2003 const struct ctables_table *t;
2004 enum pivot_axis_type a;
2008 ctables_cell_compare_3way (const void *a_, const void *b_, const void *aux_)
2010 const struct ctables_cell_sort_aux *aux = aux_;
2011 struct ctables_cell *const *ap = a_;
2012 struct ctables_cell *const *bp = b_;
2013 const struct ctables_cell *a = *ap;
2014 const struct ctables_cell *b = *bp;
2016 size_t a_idx = a->axes[aux->a].stack_idx;
2017 size_t b_idx = b->axes[aux->a].stack_idx;
2019 return a_idx < b_idx ? -1 : 1;
2021 const struct var_array *va = &aux->t->stacks[aux->a].vas[a_idx];
2022 for (size_t i = 0; i < va->n; i++)
2023 if (i != va->scale_idx)
2025 const struct variable *var = va->vars[i];
2026 const struct ctables_cell_value *a_cv = &a->axes[aux->a].cvs[i];
2027 const struct ctables_cell_value *b_cv = &b->axes[aux->a].cvs[i];
2028 if (a_cv->category != b_cv->category)
2029 return a_cv->category > b_cv->category ? 1 : -1;
2031 const union value *a_val = &a_cv->value;
2032 const union value *b_val = &b_cv->value;
2033 switch (a_cv->category->type)
2040 /* Must be equal. */
2047 int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
2055 int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
2057 return a_cv->category->sort_ascending ? cmp : -cmp;
2063 const char *a_label = var_lookup_value_label (var, a_val);
2064 const char *b_label = var_lookup_value_label (var, b_val);
2066 ? (b_label ? strcmp (a_label, b_label) : 1)
2067 : (b_label ? -1 : value_compare_3way (
2068 a_val, b_val, var_get_width (var))));
2070 return a_cv->category->sort_ascending ? cmp : -cmp;
2084 For each ctables_table:
2085 For each combination of row vars:
2086 For each combination of column vars:
2087 For each combination of layer vars:
2089 Make a table of row values:
2090 Sort entries by row values
2091 Assign a 0-based index to each actual value
2092 Construct a dimension
2093 Make a table of column values
2094 Make a table of layer values
2096 Fill the table entry using the indexes from before.
2099 static struct ctables_domain *
2100 ctables_domain_insert (struct ctables_table *t, struct ctables_cell *cell,
2101 enum ctables_domain_type domain)
2104 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2106 size_t idx = cell->axes[a].stack_idx;
2107 const struct var_array *va = &t->stacks[a].vas[idx];
2108 hash = hash_int (idx, hash);
2109 for (size_t i = 0; i < va->n_domains[domain]; i++)
2111 size_t v_idx = va->domains[domain][i];
2112 hash = value_hash (&cell->axes[a].cvs[v_idx].value,
2113 var_get_width (va->vars[v_idx]), hash);
2117 struct ctables_domain *d;
2118 HMAP_FOR_EACH_WITH_HASH (d, struct ctables_domain, node, hash, &t->domains[domain])
2120 const struct ctables_cell *df = d->example;
2121 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2123 size_t idx = cell->axes[a].stack_idx;
2124 if (idx != df->axes[a].stack_idx)
2127 const struct var_array *va = &t->stacks[a].vas[idx];
2128 for (size_t i = 0; i < va->n_domains[domain]; i++)
2130 size_t v_idx = va->domains[domain][i];
2131 if (!value_equal (&df->axes[a].cvs[v_idx].value,
2132 &cell->axes[a].cvs[v_idx].value,
2133 var_get_width (va->vars[v_idx])))
2142 d = xmalloc (sizeof *d);
2143 *d = (struct ctables_domain) { .example = cell };
2144 hmap_insert (&t->domains[domain], &d->node, hash);
2148 static const struct ctables_category *
2149 ctables_categories_match (const struct ctables_categories *c,
2150 const union value *v, const struct variable *var)
2152 const struct ctables_category *othernm = NULL;
2153 for (size_t i = c->n_cats; i-- > 0; )
2155 const struct ctables_category *cat = &c->cats[i];
2159 if (cat->number == v->f)
2167 if ((cat->range[0] == -DBL_MAX || v->f >= cat->range[0])
2168 && (cat->range[1] == DBL_MAX || v->f <= cat->range[1]))
2173 if (var_is_value_missing (var, v))
2190 return (cat->include_missing || !var_is_value_missing (var, v) ? cat
2195 return var_is_value_missing (var, v) ? NULL : othernm;
2198 static const struct ctables_category *
2199 ctables_categories_total (const struct ctables_categories *c)
2201 const struct ctables_category *first = &c->cats[0];
2202 const struct ctables_category *last = &c->cats[c->n_cats - 1];
2203 return (first->type == CCT_TOTAL ? first
2204 : last->type == CCT_TOTAL ? last
2209 ctables_cell_insert__ (struct ctables_table *t, const struct ccase *c,
2210 size_t ix[PIVOT_N_AXES],
2211 const struct ctables_category *cats[PIVOT_N_AXES][10],
2214 const struct var_array *ss = &t->stacks[t->summary_axis].vas[ix[t->summary_axis]];
2218 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2220 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2221 hash = hash_int (ix[a], hash);
2222 for (size_t i = 0; i < va->n; i++)
2223 if (i != va->scale_idx)
2225 hash = hash_pointer (cats[a][i], hash);
2226 if (cats[a][i]->type != CCT_TOTAL
2227 && cats[a][i]->type != CCT_SUBTOTAL
2228 && cats[a][i]->type != CCT_HSUBTOTAL)
2229 hash = value_hash (case_data (c, va->vars[i]),
2230 var_get_width (va->vars[i]), hash);
2236 struct ctables_cell *cell;
2237 HMAP_FOR_EACH_WITH_HASH (cell, struct ctables_cell, node, hash, &t->cells)
2239 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2241 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2242 if (cell->axes[a].stack_idx != ix[a])
2244 for (size_t i = 0; i < va->n; i++)
2245 if (i != va->scale_idx
2246 && (cats[a][i] != cell->axes[a].cvs[i].category
2247 || (cats[a][i]->type != CCT_TOTAL
2248 && cats[a][i]->type != CCT_SUBTOTAL
2249 && cats[a][i]->type != CCT_HSUBTOTAL
2250 && !value_equal (case_data (c, va->vars[i]),
2251 &cell->axes[a].cvs[i].value,
2252 var_get_width (va->vars[i])))))
2261 cell = xmalloc (sizeof *cell);
2263 cell->total = total;
2264 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2266 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2267 cell->axes[a].stack_idx = ix[a];
2268 cell->axes[a].cvs = (va->n
2269 ? xnmalloc (va->n, sizeof *cell->axes[a].cvs)
2271 for (size_t i = 0; i < va->n; i++)
2273 if (i != va->scale_idx)
2275 const struct ctables_category *subtotal = cats[a][i]->subtotal;
2276 if (subtotal && subtotal->type == CCT_HSUBTOTAL)
2280 cell->axes[a].cvs[i].category = cats[a][i];
2281 value_clone (&cell->axes[a].cvs[i].value, case_data (c, va->vars[i]),
2282 var_get_width (va->vars[i]));
2287 const struct ctables_summary_spec_set *sss
2288 = (cell->total ? &ss->total_sss : &ss->cell_sss);
2289 cell->summaries = xmalloc (sss->n * sizeof *cell->summaries);
2290 for (size_t i = 0; i < sss->n; i++)
2291 ctables_summary_init (&cell->summaries[i], &sss->summaries[i]);
2293 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2294 cell->domains[dt] = ctables_domain_insert (t, cell, dt);
2295 hmap_insert (&t->cells, &cell->node, hash);
2298 const struct ctables_summary_spec_set *sss
2299 = (cell->total ? &ss->total_sss : &ss->cell_sss);
2300 for (size_t i = 0; i < sss->n; i++)
2301 ctables_summary_add (&cell->summaries[i], &sss->summaries[i], sss->var,
2302 case_data (c, sss->var), weight);
2303 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2304 cell->domains[dt]->valid += weight;
2308 recurse_totals (struct ctables_table *t, const struct ccase *c,
2309 size_t ix[PIVOT_N_AXES],
2310 const struct ctables_category *cats[PIVOT_N_AXES][10],
2312 enum pivot_axis_type start_a, size_t start_va)
2314 for (enum pivot_axis_type a = start_a; a < PIVOT_N_AXES; a++)
2316 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2317 for (size_t i = start_va; i < va->n; i++)
2319 if (i == va->scale_idx)
2322 const struct variable *var = va->vars[i];
2324 const struct ctables_category *total = ctables_categories_total (
2325 t->categories[var_get_dict_index (var)]);
2328 const struct ctables_category *save = cats[a][i];
2330 ctables_cell_insert__ (t, c, ix, cats, weight);
2331 recurse_totals (t, c, ix, cats, weight, a, i + 1);
2340 ctables_cell_insert (struct ctables_table *t,
2341 const struct ccase *c,
2342 size_t ir, size_t ic, size_t il,
2345 size_t ix[PIVOT_N_AXES] = {
2346 [PIVOT_AXIS_ROW] = ir,
2347 [PIVOT_AXIS_COLUMN] = ic,
2348 [PIVOT_AXIS_LAYER] = il,
2351 const struct ctables_category *cats[PIVOT_N_AXES][10];
2352 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2354 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2355 for (size_t i = 0; i < va->n; i++)
2357 if (i == va->scale_idx)
2360 const struct variable *var = va->vars[i];
2361 const union value *value = case_data (c, var);
2363 if (var_is_numeric (var) && value->f == SYSMIS)
2366 cats[a][i] = ctables_categories_match (
2367 t->categories[var_get_dict_index (var)], value, var);
2373 ctables_cell_insert__ (t, c, ix, cats, weight);
2375 recurse_totals (t, c, ix, cats, weight, 0, 0);
2377 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2379 const struct var_array *va = &t->stacks[a].vas[ix[a]];
2380 for (size_t i = 0; i < va->n; i++)
2382 if (i == va->scale_idx)
2385 const struct ctables_category *save = cats[a][i];
2388 cats[a][i] = save->subtotal;
2389 ctables_cell_insert__ (t, c, ix, cats, weight);
2397 ctables_execute (struct dataset *ds, struct ctables *ct)
2399 for (size_t i = 0; i < ct->n_tables; i++)
2401 struct ctables_table *t = ct->tables[i];
2402 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2405 t->stacks[a] = enumerate_fts (a, t->axes[a]);
2407 for (size_t j = 0; j < t->stacks[a].n; j++)
2409 struct var_array *va = &t->stacks[a].vas[j];
2410 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2412 va->domains[dt] = xmalloc (va->n * sizeof *va->domains[dt]);
2413 va->n_domains[dt] = 0;
2415 for (size_t k = 0; k < va->n; k++)
2417 if (k == va->scale_idx)
2426 if (a != PIVOT_AXIS_LAYER)
2433 if (dt == CTDT_SUBTABLE ? a != PIVOT_AXIS_LAYER
2434 : dt == CTDT_ROW ? a == PIVOT_AXIS_COLUMN
2435 : a == PIVOT_AXIS_ROW)
2438 || (va->scale_idx == va->n - 1
2445 if (a == PIVOT_AXIS_COLUMN)
2450 if (a == PIVOT_AXIS_ROW)
2455 va->domains[dt][va->n_domains[dt]++] = k;
2462 struct var_array *va = xmalloc (sizeof *va);
2463 *va = (struct var_array) { .n = 0 };
2464 t->stacks[a] = (struct ctables_stack) { .vas = va, .n = 1 };
2467 for (size_t i = 0; i < t->stacks[t->summary_axis].n; i++)
2469 struct var_array *va = &t->stacks[t->summary_axis].vas[i];
2470 if (!va->cell_sss.n)
2472 struct ctables_summary_spec_set *sss = &va->cell_sss;
2473 sss->summaries = xmalloc (sizeof *sss->summaries);
2476 enum ctables_summary_function function
2477 = sss->var ? CTSF_MEAN : CTSF_COUNT;
2478 struct ctables_var var = { .is_mrset = false, .var = sss->var };
2480 *sss->summaries = (struct ctables_summary_spec) {
2481 .function = function,
2482 .format = ctables_summary_default_format (function, &var),
2483 .label = ctables_summary_default_label (function, 0),
2486 sss->var = va->vars[0];
2488 va->total_sss = va->cell_sss;
2490 else if (!va->total_sss.n)
2491 va->total_sss = va->cell_sss;
2495 struct casereader *input = casereader_create_filter_weight (proc_open (ds),
2498 bool warn_on_invalid = true;
2499 double total_weight = 0;
2500 for (struct ccase *c = casereader_read (input); c;
2501 case_unref (c), c = casereader_read (input))
2503 double weight = dict_get_case_weight (dataset_dict (ds), c,
2505 total_weight += weight;
2507 for (size_t i = 0; i < ct->n_tables; i++)
2509 struct ctables_table *t = ct->tables[i];
2511 for (size_t ir = 0; ir < t->stacks[PIVOT_AXIS_ROW].n; ir++)
2512 for (size_t ic = 0; ic < t->stacks[PIVOT_AXIS_COLUMN].n; ic++)
2513 for (size_t il = 0; il < t->stacks[PIVOT_AXIS_LAYER].n; il++)
2514 ctables_cell_insert (t, c, ir, ic, il, weight);
2517 casereader_destroy (input);
2519 for (size_t i = 0; i < ct->n_tables; i++)
2521 struct ctables_table *t = ct->tables[i];
2523 struct pivot_table *pt = pivot_table_create__ (
2525 ? pivot_value_new_user_text (t->title, SIZE_MAX)
2526 : pivot_value_new_text (N_("Custom Tables"))),
2529 pivot_table_set_caption (
2530 pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
2532 pivot_table_set_caption (
2533 pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
2535 pivot_table_set_look (pt, ct->look);
2536 struct pivot_dimension *d[PIVOT_N_AXES];
2537 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2539 static const char *names[] = {
2540 [PIVOT_AXIS_ROW] = N_("Rows"),
2541 [PIVOT_AXIS_COLUMN] = N_("Columns"),
2542 [PIVOT_AXIS_LAYER] = N_("Layers"),
2544 d[a] = (t->axes[a] || a == t->summary_axis
2545 ? pivot_dimension_create (pt, a, names[a])
2550 assert (t->axes[a]);
2552 struct ctables_cell **sorted = xnmalloc (t->cells.count, sizeof *sorted);
2554 struct ctables_cell *cell;
2556 HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
2559 assert (n <= t->cells.count);
2561 struct ctables_cell_sort_aux aux = { .t = t, .a = a };
2562 sort (sorted, n, sizeof *sorted, ctables_cell_compare_3way, &aux);
2564 size_t max_depth = 0;
2565 for (size_t j = 0; j < t->stacks[a].n; j++)
2566 if (t->stacks[a].vas[j].n > max_depth)
2567 max_depth = t->stacks[a].vas[j].n;
2569 struct pivot_category **groups = xnmalloc (max_depth, sizeof *groups);
2570 struct pivot_category *top = NULL;
2572 for (size_t j = 0; j < n; j++)
2574 struct ctables_cell *cell = sorted[j];
2575 const struct var_array *va = &t->stacks[a].vas[cell->axes[a].stack_idx];
2577 size_t n_common = 0;
2578 bool new_subtable = false;
2581 struct ctables_cell *prev = sorted[j - 1];
2582 if (prev->axes[a].stack_idx == cell->axes[a].stack_idx)
2584 for (; n_common < va->n; n_common++)
2585 if (n_common != va->scale_idx
2586 && (prev->axes[a].cvs[n_common].category
2587 != cell->axes[a].cvs[n_common].category
2588 || !value_equal (&prev->axes[a].cvs[n_common].value,
2589 &cell->axes[a].cvs[n_common].value,
2590 var_get_type (va->vars[n_common]))))
2594 new_subtable = true;
2597 new_subtable = true;
2601 enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (va->vars[0])];
2603 if (vlabel != CTVL_NONE)
2604 top = pivot_category_create_group__ (
2605 top, pivot_value_new_variable (va->vars[0]));
2607 if (n_common == va->n)
2609 cell->axes[a].leaf = prev_leaf;
2613 for (size_t k = n_common; k < va->n; k++)
2615 struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
2617 struct pivot_value *label
2618 = (k == va->scale_idx ? NULL
2619 : (cell->axes[a].cvs[k].category->type == CCT_TOTAL
2620 || cell->axes[a].cvs[k].category->type == CCT_SUBTOTAL
2621 || cell->axes[a].cvs[k].category->type == CCT_HSUBTOTAL)
2622 ? pivot_value_new_user_text (cell->axes[a].cvs[k].category->total_label,
2624 : pivot_value_new_var_value (va->vars[k],
2625 &cell->axes[a].cvs[k].value));
2628 if (a == t->summary_axis)
2631 parent = pivot_category_create_group__ (parent, label);
2632 const struct ctables_summary_spec_set *sss
2633 = cell->total ? &va->total_sss : &va->cell_sss;
2634 for (size_t m = 0; m < sss->n; m++)
2636 int leaf = pivot_category_create_leaf (
2637 parent, pivot_value_new_text (sss->summaries[m].label));
2644 /* This assertion is true as long as the summary axis
2645 is the axis where the summaries are displayed. */
2648 prev_leaf = pivot_category_create_leaf (parent, label);
2654 parent = pivot_category_create_group__ (parent, label);
2656 enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (va->vars[k + 1])];
2657 if (vlabel != CTVL_NONE)
2658 parent = pivot_category_create_group__ (
2659 parent, pivot_value_new_variable (va->vars[k + 1]));
2663 cell->axes[a].leaf = prev_leaf;
2668 struct ctables_cell *cell;
2669 HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
2674 const struct var_array *va = &t->stacks[t->summary_axis].vas[cell->axes[t->summary_axis].stack_idx];
2675 const struct ctables_summary_spec_set *sss = cell->total ? &va->total_sss : &va->cell_sss;
2676 for (size_t j = 0; j < sss->n; j++)
2679 size_t n_dindexes = 0;
2681 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2684 int leaf = cell->axes[a].leaf;
2685 if (a == t->summary_axis)
2687 dindexes[n_dindexes++] = leaf;
2690 double d = ctables_summary_value (cell, &cell->summaries[j], &sss->summaries[j]);
2691 struct pivot_value *value = pivot_value_new_number (d);
2692 value->numeric.format = sss->summaries[j].format;
2693 pivot_table_put (pt, dindexes, n_dindexes, value);
2697 pivot_table_submit (pt);
2700 return proc_commit (ds);
2704 cmd_ctables (struct lexer *lexer, struct dataset *ds)
2706 size_t n_vars = dict_get_n_vars (dataset_dict (ds));
2707 enum ctables_vlabel *vlabels = xnmalloc (n_vars, sizeof *vlabels);
2708 enum settings_value_show tvars = settings_get_show_variables ();
2709 for (size_t i = 0; i < n_vars; i++)
2710 vlabels[i] = (enum ctables_vlabel) tvars;
2712 struct ctables *ct = xmalloc (sizeof *ct);
2713 *ct = (struct ctables) {
2714 .look = pivot_table_look_unshare (pivot_table_look_ref (
2715 pivot_table_look_get_default ())),
2717 .hide_threshold = 5,
2719 ct->look->omit_empty = false;
2721 if (!lex_force_match (lexer, T_SLASH))
2724 while (!lex_match_id (lexer, "TABLE"))
2726 if (lex_match_id (lexer, "FORMAT"))
2728 double widths[2] = { SYSMIS, SYSMIS };
2729 double units_per_inch = 72.0;
2731 while (lex_token (lexer) != T_SLASH)
2733 if (lex_match_id (lexer, "MINCOLWIDTH"))
2735 if (!parse_col_width (lexer, "MINCOLWIDTH", &widths[0]))
2738 else if (lex_match_id (lexer, "MAXCOLWIDTH"))
2740 if (!parse_col_width (lexer, "MAXCOLWIDTH", &widths[1]))
2743 else if (lex_match_id (lexer, "UNITS"))
2745 lex_match (lexer, T_EQUALS);
2746 if (lex_match_id (lexer, "POINTS"))
2747 units_per_inch = 72.0;
2748 else if (lex_match_id (lexer, "INCHES"))
2749 units_per_inch = 1.0;
2750 else if (lex_match_id (lexer, "CM"))
2751 units_per_inch = 2.54;
2754 lex_error_expecting (lexer, "POINTS", "INCHES", "CM");
2758 else if (lex_match_id (lexer, "EMPTY"))
2763 lex_match (lexer, T_EQUALS);
2764 if (lex_match_id (lexer, "ZERO"))
2766 /* Nothing to do. */
2768 else if (lex_match_id (lexer, "BLANK"))
2769 ct->zero = xstrdup ("");
2770 else if (lex_force_string (lexer))
2772 ct->zero = ss_xstrdup (lex_tokss (lexer));
2778 else if (lex_match_id (lexer, "MISSING"))
2780 lex_match (lexer, T_EQUALS);
2781 if (!lex_force_string (lexer))
2785 ct->missing = (strcmp (lex_tokcstr (lexer), ".")
2786 ? ss_xstrdup (lex_tokss (lexer))
2792 lex_error_expecting (lexer, "MINCOLWIDTH", "MAXCOLWIDTH",
2793 "UNITS", "EMPTY", "MISSING");
2798 if (widths[0] != SYSMIS && widths[1] != SYSMIS
2799 && widths[0] > widths[1])
2801 msg (SE, _("MINCOLWIDTH must not be greater than MAXCOLWIDTH."));
2805 for (size_t i = 0; i < 2; i++)
2806 if (widths[i] != SYSMIS)
2808 int *wr = ct->look->width_ranges[TABLE_HORZ];
2809 wr[i] = widths[i] / units_per_inch * 96.0;
2814 else if (lex_match_id (lexer, "VLABELS"))
2816 if (!lex_force_match_id (lexer, "VARIABLES"))
2818 lex_match (lexer, T_EQUALS);
2820 struct variable **vars;
2822 if (!parse_variables (lexer, dataset_dict (ds), &vars, &n_vars,
2826 if (!lex_force_match_id (lexer, "DISPLAY"))
2831 lex_match (lexer, T_EQUALS);
2833 enum ctables_vlabel vlabel;
2834 if (lex_match_id (lexer, "DEFAULT"))
2835 vlabel = (enum ctables_vlabel) settings_get_show_variables ();
2836 else if (lex_match_id (lexer, "NAME"))
2838 else if (lex_match_id (lexer, "LABEL"))
2839 vlabel = CTVL_LABEL;
2840 else if (lex_match_id (lexer, "BOTH"))
2842 else if (lex_match_id (lexer, "NONE"))
2846 lex_error_expecting (lexer, "DEFAULT", "NAME", "LABEL",
2852 for (size_t i = 0; i < n_vars; i++)
2853 ct->vlabels[var_get_dict_index (vars[i])] = vlabel;
2856 else if (lex_match_id (lexer, "MRSETS"))
2858 if (!lex_force_match_id (lexer, "COUNTDUPLICATES"))
2860 lex_match (lexer, T_EQUALS);
2861 if (!parse_bool (lexer, &ct->mrsets_count_duplicates))
2864 else if (lex_match_id (lexer, "SMISSING"))
2866 if (lex_match_id (lexer, "VARIABLE"))
2867 ct->smissing_listwise = false;
2868 else if (lex_match_id (lexer, "LISTWISE"))
2869 ct->smissing_listwise = true;
2872 lex_error_expecting (lexer, "VARIABLE", "LISTWISE");
2877 else if (lex_match_id (lexer, "WEIGHT"))
2879 if (!lex_force_match_id (lexer, "VARIABLE"))
2881 lex_match (lexer, T_EQUALS);
2882 ct->base_weight = parse_variable (lexer, dataset_dict (ds));
2883 if (!ct->base_weight)
2886 else if (lex_match_id (lexer, "HIDESMALLCOUNTS"))
2888 if (!lex_force_match_id (lexer, "COUNT"))
2890 lex_match (lexer, T_EQUALS);
2891 if (!lex_force_int_range (lexer, "HIDESMALLCOUNTS COUNT", 2, INT_MAX))
2893 ct->hide_threshold = lex_integer (lexer);
2898 lex_error_expecting (lexer, "FORMAT", "VLABELS", "MRSETS",
2899 "SMISSING", "PCOMPUTE", "PPROPERTIES",
2900 "WEIGHT", "HIDESMALLCOUNTS", "TABLE");
2904 if (!lex_force_match (lexer, T_SLASH))
2908 size_t allocated_tables = 0;
2911 if (ct->n_tables >= allocated_tables)
2912 ct->tables = x2nrealloc (ct->tables, &allocated_tables,
2913 sizeof *ct->tables);
2915 struct ctables_category *cat = xmalloc (sizeof *cat);
2916 *cat = (struct ctables_category) {
2918 .include_missing = false,
2919 .sort_ascending = true,
2922 struct ctables_categories *c = xmalloc (sizeof *c);
2923 size_t n_vars = dict_get_n_vars (dataset_dict (ds));
2924 *c = (struct ctables_categories) {
2930 struct ctables_categories **categories = xnmalloc (n_vars,
2931 sizeof *categories);
2932 for (size_t i = 0; i < n_vars; i++)
2935 struct ctables_table *t = xmalloc (sizeof *t);
2936 *t = (struct ctables_table) {
2937 .cells = HMAP_INITIALIZER (t->cells),
2938 .slabels_position = PIVOT_AXIS_COLUMN,
2939 .slabels_visible = true,
2940 .row_labels = CTLP_NORMAL,
2941 .col_labels = CTLP_NORMAL,
2942 .categories = categories,
2943 .n_categories = n_vars,
2946 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2947 hmap_init (&t->domains[dt]);
2948 ct->tables[ct->n_tables++] = t;
2950 lex_match (lexer, T_EQUALS);
2951 if (!ctables_axis_parse (lexer, dataset_dict (ds), ct, t, PIVOT_AXIS_ROW))
2953 if (lex_match (lexer, T_BY))
2955 if (!ctables_axis_parse (lexer, dataset_dict (ds),
2956 ct, t, PIVOT_AXIS_COLUMN))
2959 if (lex_match (lexer, T_BY))
2961 if (!ctables_axis_parse (lexer, dataset_dict (ds),
2962 ct, t, PIVOT_AXIS_LAYER))
2967 if (!t->axes[PIVOT_AXIS_ROW] && !t->axes[PIVOT_AXIS_COLUMN]
2968 && !t->axes[PIVOT_AXIS_LAYER])
2970 lex_error (lexer, _("At least one variable must be specified."));
2974 const struct ctables_axis *scales[PIVOT_N_AXES];
2975 size_t n_scales = 0;
2976 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2978 scales[a] = find_scale (t->axes[a]);
2984 msg (SE, _("Scale variables may appear only on one axis."));
2985 if (scales[PIVOT_AXIS_ROW])
2986 msg_at (SN, scales[PIVOT_AXIS_ROW]->loc,
2987 _("This scale variable appears on the rows axis."));
2988 if (scales[PIVOT_AXIS_COLUMN])
2989 msg_at (SN, scales[PIVOT_AXIS_COLUMN]->loc,
2990 _("This scale variable appears on the columns axis."));
2991 if (scales[PIVOT_AXIS_LAYER])
2992 msg_at (SN, scales[PIVOT_AXIS_LAYER]->loc,
2993 _("This scale variable appears on the layer axis."));
2997 const struct ctables_axis *summaries[PIVOT_N_AXES];
2998 size_t n_summaries = 0;
2999 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
3001 summaries[a] = (scales[a]
3003 : find_categorical_summary_spec (t->axes[a]));
3007 if (n_summaries > 1)
3009 msg (SE, _("Summaries may appear only on one axis."));
3010 if (summaries[PIVOT_AXIS_ROW])
3011 msg_at (SN, summaries[PIVOT_AXIS_ROW]->loc,
3012 _("This variable on the rows axis has a summary."));
3013 if (summaries[PIVOT_AXIS_COLUMN])
3014 msg_at (SN, summaries[PIVOT_AXIS_COLUMN]->loc,
3015 _("This variable on the columns axis has a summary."));
3016 if (summaries[PIVOT_AXIS_LAYER])
3017 msg_at (SN, summaries[PIVOT_AXIS_LAYER]->loc,
3018 _("This variable on the layers axis has a summary."));
3021 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
3022 if (n_summaries ? summaries[a] : t->axes[a])
3024 t->summary_axis = a;
3028 if (lex_token (lexer) == T_ENDCMD)
3030 if (!lex_force_match (lexer, T_SLASH))
3033 while (!lex_match_id (lexer, "TABLE") && lex_token (lexer) != T_ENDCMD)
3035 if (lex_match_id (lexer, "SLABELS"))
3037 while (lex_token (lexer) != T_SLASH)
3039 if (lex_match_id (lexer, "POSITION"))
3041 lex_match (lexer, T_EQUALS);
3042 if (lex_match_id (lexer, "COLUMN"))
3043 t->slabels_position = PIVOT_AXIS_COLUMN;
3044 else if (lex_match_id (lexer, "ROW"))
3045 t->slabels_position = PIVOT_AXIS_ROW;
3046 else if (lex_match_id (lexer, "LAYER"))
3047 t->slabels_position = PIVOT_AXIS_LAYER;
3050 lex_error_expecting (lexer, "COLUMN", "ROW", "LAYER");
3054 else if (lex_match_id (lexer, "VISIBLE"))
3056 lex_match (lexer, T_EQUALS);
3057 if (!parse_bool (lexer, &t->slabels_visible))
3062 lex_error_expecting (lexer, "POSITION", "VISIBLE");
3067 else if (lex_match_id (lexer, "CLABELS"))
3069 while (lex_token (lexer) != T_SLASH)
3071 if (lex_match_id (lexer, "AUTO"))
3072 t->row_labels = t->col_labels = CTLP_NORMAL;
3073 else if (lex_match_id (lexer, "ROWLABELS"))
3075 lex_match (lexer, T_EQUALS);
3076 if (lex_match_id (lexer, "OPPOSITE"))
3077 t->row_labels = CTLP_OPPOSITE;
3078 else if (lex_match_id (lexer, "LAYER"))
3079 t->row_labels = CTLP_LAYER;
3082 lex_error_expecting (lexer, "OPPOSITE", "LAYER");
3086 else if (lex_match_id (lexer, "COLLABELS"))
3088 lex_match (lexer, T_EQUALS);
3089 if (lex_match_id (lexer, "OPPOSITE"))
3090 t->col_labels = CTLP_OPPOSITE;
3091 else if (lex_match_id (lexer, "LAYER"))
3092 t->col_labels = CTLP_LAYER;
3095 lex_error_expecting (lexer, "OPPOSITE", "LAYER");
3101 lex_error_expecting (lexer, "AUTO", "ROWLABELS",
3107 else if (lex_match_id (lexer, "CRITERIA"))
3109 if (!lex_force_match_id (lexer, "CILEVEL"))
3111 lex_match (lexer, T_EQUALS);
3113 if (!lex_force_num_range_halfopen (lexer, "CILEVEL", 0, 100))
3115 t->cilevel = lex_number (lexer);
3118 else if (lex_match_id (lexer, "CATEGORIES"))
3120 if (!ctables_table_parse_categories (lexer, dataset_dict (ds), t))
3123 else if (lex_match_id (lexer, "TITLES"))
3128 if (lex_match_id (lexer, "CAPTION"))
3129 textp = &t->caption;
3130 else if (lex_match_id (lexer, "CORNER"))
3132 else if (lex_match_id (lexer, "TITLE"))
3136 lex_error_expecting (lexer, "CAPTION", "CORNER", "TITLE");
3139 lex_match (lexer, T_EQUALS);
3141 struct string s = DS_EMPTY_INITIALIZER;
3142 while (lex_is_string (lexer))
3144 if (!ds_is_empty (&s))
3145 ds_put_byte (&s, ' ');
3146 ds_put_substring (&s, lex_tokss (lexer));
3150 *textp = ds_steal_cstr (&s);
3152 while (lex_token (lexer) != T_SLASH
3153 && lex_token (lexer) != T_ENDCMD);
3155 else if (lex_match_id (lexer, "SIGTEST"))
3159 t->chisq = xmalloc (sizeof *t->chisq);
3160 *t->chisq = (struct ctables_chisq) {
3162 .include_mrsets = true,
3163 .all_visible = true,
3169 if (lex_match_id (lexer, "TYPE"))
3171 lex_match (lexer, T_EQUALS);
3172 if (!lex_force_match_id (lexer, "CHISQUARE"))
3175 else if (lex_match_id (lexer, "ALPHA"))
3177 lex_match (lexer, T_EQUALS);
3178 if (!lex_force_num_range_halfopen (lexer, "ALPHA", 0, 1))
3180 t->chisq->alpha = lex_number (lexer);
3183 else if (lex_match_id (lexer, "INCLUDEMRSETS"))
3185 lex_match (lexer, T_EQUALS);
3186 if (parse_bool (lexer, &t->chisq->include_mrsets))
3189 else if (lex_match_id (lexer, "CATEGORIES"))
3191 lex_match (lexer, T_EQUALS);
3192 if (lex_match_id (lexer, "ALLVISIBLE"))
3193 t->chisq->all_visible = true;
3194 else if (lex_match_id (lexer, "SUBTOTALS"))
3195 t->chisq->all_visible = false;
3198 lex_error_expecting (lexer,
3199 "ALLVISIBLE", "SUBTOTALS");
3205 lex_error_expecting (lexer, "TYPE", "ALPHA",
3206 "INCLUDEMRSETS", "CATEGORIES");
3210 while (lex_token (lexer) != T_SLASH
3211 && lex_token (lexer) != T_ENDCMD);
3213 else if (lex_match_id (lexer, "COMPARETEST"))
3217 t->pairwise = xmalloc (sizeof *t->pairwise);
3218 *t->pairwise = (struct ctables_pairwise) {
3220 .alpha = { .05, .05 },
3221 .adjust = BONFERRONI,
3222 .include_mrsets = true,
3223 .meansvariance_allcats = true,
3224 .all_visible = true,
3233 if (lex_match_id (lexer, "TYPE"))
3235 lex_match (lexer, T_EQUALS);
3236 if (lex_match_id (lexer, "PROP"))
3237 t->pairwise->type = PROP;
3238 else if (lex_match_id (lexer, "MEAN"))
3239 t->pairwise->type = MEAN;
3242 lex_error_expecting (lexer, "PROP", "MEAN");
3246 else if (lex_match_id (lexer, "ALPHA"))
3248 lex_match (lexer, T_EQUALS);
3250 if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
3252 double a0 = lex_number (lexer);
3255 lex_match (lexer, T_COMMA);
3256 if (lex_is_number (lexer))
3258 if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
3260 double a1 = lex_number (lexer);
3263 t->pairwise->alpha[0] = MIN (a0, a1);
3264 t->pairwise->alpha[1] = MAX (a0, a1);
3267 t->pairwise->alpha[0] = t->pairwise->alpha[1] = a0;
3269 else if (lex_match_id (lexer, "ADJUST"))
3271 lex_match (lexer, T_EQUALS);
3272 if (lex_match_id (lexer, "BONFERRONI"))
3273 t->pairwise->adjust = BONFERRONI;
3274 else if (lex_match_id (lexer, "BH"))
3275 t->pairwise->adjust = BH;
3276 else if (lex_match_id (lexer, "NONE"))
3277 t->pairwise->adjust = 0;
3280 lex_error_expecting (lexer, "BONFERRONI", "BH",
3285 else if (lex_match_id (lexer, "INCLUDEMRSETS"))
3287 lex_match (lexer, T_EQUALS);
3288 if (!parse_bool (lexer, &t->pairwise->include_mrsets))
3291 else if (lex_match_id (lexer, "MEANSVARIANCE"))
3293 lex_match (lexer, T_EQUALS);
3294 if (lex_match_id (lexer, "ALLCATS"))
3295 t->pairwise->meansvariance_allcats = true;
3296 else if (lex_match_id (lexer, "TESTEDCATS"))
3297 t->pairwise->meansvariance_allcats = false;
3300 lex_error_expecting (lexer, "ALLCATS", "TESTEDCATS");
3304 else if (lex_match_id (lexer, "CATEGORIES"))
3306 lex_match (lexer, T_EQUALS);
3307 if (lex_match_id (lexer, "ALLVISIBLE"))
3308 t->pairwise->all_visible = true;
3309 else if (lex_match_id (lexer, "SUBTOTALS"))
3310 t->pairwise->all_visible = false;
3313 lex_error_expecting (lexer, "ALLVISIBLE",
3318 else if (lex_match_id (lexer, "MERGE"))
3320 lex_match (lexer, T_EQUALS);
3321 if (!parse_bool (lexer, &t->pairwise->merge))
3324 else if (lex_match_id (lexer, "STYLE"))
3326 lex_match (lexer, T_EQUALS);
3327 if (lex_match_id (lexer, "APA"))
3328 t->pairwise->apa_style = true;
3329 else if (lex_match_id (lexer, "SIMPLE"))
3330 t->pairwise->apa_style = false;
3333 lex_error_expecting (lexer, "APA", "SIMPLE");
3337 else if (lex_match_id (lexer, "SHOWSIG"))
3339 lex_match (lexer, T_EQUALS);
3340 if (!parse_bool (lexer, &t->pairwise->show_sig))
3345 lex_error_expecting (lexer, "TYPE", "ALPHA", "ADJUST",
3346 "INCLUDEMRSETS", "MEANSVARIANCE",
3347 "CATEGORIES", "MERGE", "STYLE",
3352 while (lex_token (lexer) != T_SLASH
3353 && lex_token (lexer) != T_ENDCMD);
3357 lex_error_expecting (lexer, "TABLE", "SLABELS", "CLABELS",
3358 "CRITERIA", "CATEGORIES", "TITLES",
3359 "SIGTEST", "COMPARETEST");
3363 if (!lex_match (lexer, T_SLASH))
3367 if (t->row_labels != CTLP_NORMAL && t->col_labels != CTLP_NORMAL)
3369 msg (SE, _("ROWLABELS and COLLABELS may not both be specified."));
3374 while (lex_token (lexer) != T_ENDCMD);
3376 bool ok = ctables_execute (ds, ct);
3377 ctables_destroy (ct);
3378 return ok ? CMD_SUCCESS : CMD_FAILURE;
3381 ctables_destroy (ct);