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;
174 enum ctables_summary_variant
183 /* In struct ctables's 'cells' hmap. Indexed by all the values in all the
184 axes (except the scalar variable, if any). */
185 struct hmap_node node;
187 /* The domains that contain this cell. */
188 struct ctables_domain *domains[N_CTDTS];
191 enum ctables_summary_variant sv;
196 struct ctables_cell_value
198 const struct ctables_category *category;
206 union ctables_summary *summaries;
211 struct pivot_table_look *look;
213 /* If this is NULL, zeros are displayed using the normal print format.
214 Otherwise, this string is displayed. */
217 /* If this is NULL, missing values are displayed using the normal print
218 format. Otherwise, this string is displayed. */
221 /* Indexed by variable dictionary index. */
222 enum ctables_vlabel *vlabels;
224 bool mrsets_count_duplicates; /* MRSETS. */
225 bool smissing_listwise; /* SMISSING. */
226 struct variable *base_weight; /* WEIGHT. */
227 int hide_threshold; /* HIDESMALLCOUNTS. */
229 struct ctables_table **tables;
233 struct ctables_postcompute
235 struct hmap_node hmap_node; /* In struct ctables's 'pcompute' hmap. */
236 const char *name; /* Name, without leading &. */
238 struct ctables_postcompute_expr *expr;
241 bool hide_source_cats;
244 struct ctables_postcompute_expr
246 enum ctables_postcompute_op
254 /* XXX SUBTOTAL and HSUBTOTAL */
267 /* CTPO_CAT_NUMBER, CTPO_NUMBER. */
272 XXX what about string ranges? */
275 /* CTPO_ADD, CTPO_SUB, CTPO_MUL, CTPO_DIV, CTPO_POW. */
276 struct ctables_postcompute_expr *subs[2];
280 enum ctables_label_position
287 struct ctables_summary_spec_set
289 struct ctables_summary_spec *specs;
293 struct variable *var;
296 static void ctables_summary_spec_set_uninit (struct ctables_summary_spec_set *);
298 /* A nested sequence of variables, e.g. a > b > c. */
301 struct variable **vars;
304 size_t *domains[N_CTDTS];
305 size_t n_domains[N_CTDTS];
307 struct ctables_summary_spec_set specs[N_CSVS];
310 /* A stack of nestings, e.g. nest1 + nest2 + ... + nestN. */
313 struct ctables_nest *nests;
319 struct ctables_axis *axes[PIVOT_N_AXES];
320 struct ctables_stack stacks[PIVOT_N_AXES];
321 enum pivot_axis_type summary_axis;
323 struct hmap domains[N_CTDTS];
325 enum pivot_axis_type slabels_position;
326 bool slabels_visible;
328 enum ctables_label_position row_labels;
329 enum ctables_label_position col_labels;
331 /* Indexed by variable dictionary index. */
332 struct ctables_categories **categories;
341 struct ctables_chisq *chisq;
342 struct ctables_pairwise *pairwise;
350 struct variable *var;
351 const struct mrset *mrset;
355 static const struct fmt_spec *
356 ctables_var_get_print_format (const struct ctables_var *var)
358 return (var->is_mrset
359 ? var_get_print_format (var->mrset->vars[0])
360 : var_get_print_format (var->var));
364 ctables_var_name (const struct ctables_var *var)
366 return var->is_mrset ? var->mrset->name : var_get_name (var->var);
369 struct ctables_categories
372 struct ctables_category *cats;
377 struct ctables_category
379 enum ctables_category_type
397 struct ctables_category *subtotal;
401 double number; /* CCT_NUMBER. */
402 char *string; /* CCT_STRING. */
403 double range[2]; /* CCT_RANGE. */
404 char *total_label; /* CCT_SUBTOTAL, CCT_HSUBTOTAL, CCT_TOTAL. */
406 /* CCT_VALUE, CCT_LABEL, CCT_FUNCTION. */
409 bool include_missing;
413 enum ctables_summary_function sort_function;
414 struct variable *sort_var;
421 ctables_category_uninit (struct ctables_category *cat)
441 free (cat->total_label);
452 ctables_categories_unref (struct ctables_categories *c)
457 assert (c->n_refs > 0);
461 for (size_t i = 0; i < c->n_cats; i++)
462 ctables_category_uninit (&c->cats[i]);
467 /* Chi-square test (SIGTEST). */
475 /* Pairwise comparison test (COMPARETEST). */
476 struct ctables_pairwise
478 enum { PROP, MEAN } type;
481 bool meansvariance_allcats;
483 enum { BONFERRONI = 1, BH } adjust;
507 struct ctables_var var;
509 struct ctables_summary_spec_set specs[N_CSVS];
513 struct ctables_axis *subs[2];
516 struct msg_location *loc;
519 static void ctables_axis_destroy (struct ctables_axis *);
528 enum ctables_function_availability
530 CTFA_ALL, /* Any variables. */
531 CTFA_SCALE, /* Only scale variables, totals, and subtotals. */
532 CTFA_MRSETS, /* Only multiple-response sets */
535 struct ctables_summary_spec
537 enum ctables_summary_function function;
538 double percentile; /* CTSF_PTILE only. */
540 struct fmt_spec format; /* XXX extra CTABLES formats */
544 ctables_summary_spec_uninit (struct ctables_summary_spec *s)
551 ctables_summary_spec_set_uninit (struct ctables_summary_spec_set *set)
553 for (size_t i = 0; i < set->n; i++)
554 ctables_summary_spec_uninit (&set->specs[i]);
559 parse_col_width (struct lexer *lexer, const char *name, double *width)
561 lex_match (lexer, T_EQUALS);
562 if (lex_match_id (lexer, "DEFAULT"))
564 else if (lex_force_num_range_closed (lexer, name, 0, DBL_MAX))
566 *width = lex_number (lexer);
576 parse_bool (struct lexer *lexer, bool *b)
578 if (lex_match_id (lexer, "NO"))
580 else if (lex_match_id (lexer, "YES"))
584 lex_error_expecting (lexer, "YES", "NO");
590 static enum ctables_function_availability
591 ctables_function_availability (enum ctables_summary_function f)
593 static enum ctables_function_availability availability[] = {
594 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = AVAILABILITY,
599 return availability[f];
603 parse_ctables_summary_function (struct lexer *lexer,
604 enum ctables_summary_function *f)
608 enum ctables_summary_function function;
609 struct substring name;
611 static struct pair names[] = {
612 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) \
613 { ENUM, SS_LITERAL_INITIALIZER (NAME) },
616 /* The .COUNT suffix may be omitted. */
617 S(CTSF_ROWPCT_COUNT, "ROWPCT", _, _, _)
618 S(CTSF_COLPCT_COUNT, "COLPCT", _, _, _)
619 S(CTSF_TABLEPCT_COUNT, "TABLEPCT", _, _, _)
620 S(CTSF_SUBTABLEPCT_COUNT, "SUBTABLEPCT", _, _, _)
621 S(CTSF_LAYERPCT_COUNT, "LAYERPCT", _, _, _)
622 S(CTSF_LAYERROWPCT_COUNT, "LAYERROWPCT", _, _, _)
623 S(CTSF_LAYERCOLPCT_COUNT, "LAYERCOLPCT", _, _, _)
627 if (!lex_force_id (lexer))
630 for (size_t i = 0; i < sizeof names / sizeof *names; i++)
631 if (ss_equals_case (names[i].name, lex_tokss (lexer)))
633 *f = names[i].function;
638 lex_error (lexer, _("Expecting summary function name."));
643 ctables_axis_destroy (struct ctables_axis *axis)
651 for (size_t i = 0; i < N_CSVS; i++)
652 ctables_summary_spec_set_uninit (&axis->specs[i]);
657 ctables_axis_destroy (axis->subs[0]);
658 ctables_axis_destroy (axis->subs[1]);
661 msg_location_destroy (axis->loc);
665 static struct ctables_axis *
666 ctables_axis_new_nonterminal (enum ctables_axis_op op,
667 struct ctables_axis *sub0,
668 struct ctables_axis *sub1,
669 struct lexer *lexer, int start_ofs)
671 struct ctables_axis *axis = xmalloc (sizeof *axis);
672 *axis = (struct ctables_axis) {
674 .subs = { sub0, sub1 },
675 .loc = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1),
680 struct ctables_axis_parse_ctx
683 struct dictionary *dict;
685 struct ctables_table *t;
688 static struct fmt_spec
689 ctables_summary_default_format (enum ctables_summary_function function,
690 const struct ctables_var *var)
692 static const enum ctables_format default_formats[] = {
693 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = FORMAT,
697 switch (default_formats[function])
700 return (struct fmt_spec) { .type = FMT_F, .w = 40 };
703 return (struct fmt_spec) { .type = FMT_PCT, .w = 40, .d = 1 };
706 return *ctables_var_get_print_format (var);
714 ctables_summary_default_label (enum ctables_summary_function function,
717 static const char *default_labels[] = {
718 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = LABEL,
723 return (function == CTSF_PTILE
724 ? xasprintf (_("Percentile %.2f"), percentile)
725 : xstrdup (gettext (default_labels[function])));
729 ctables_summary_function_name (enum ctables_summary_function function)
731 static const char *names[] = {
732 #define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = NAME,
736 return names[function];
740 add_summary_spec (struct ctables_axis *axis,
741 enum ctables_summary_function function, double percentile,
742 const char *label, const struct fmt_spec *format,
743 const struct msg_location *loc, enum ctables_summary_variant sv)
745 if (axis->op == CTAO_VAR)
747 const char *function_name = ctables_summary_function_name (function);
748 const char *var_name = ctables_var_name (&axis->var);
749 switch (ctables_function_availability (function))
752 if (!axis->var.is_mrset)
754 msg_at (SE, loc, _("Summary function %s applies only to multiple "
755 "response sets."), function_name);
756 msg_at (SN, axis->loc, _("'%s' is not a multiple response set."),
766 _("Summary function %s applies only to scale variables."),
768 msg_at (SN, axis->loc, _("'%s' is not a scale variable."),
778 struct ctables_summary_spec_set *set = &axis->specs[sv];
779 if (set->n >= set->allocated)
780 set->specs = x2nrealloc (set->specs, &set->allocated,
783 struct ctables_summary_spec *dst = &set->specs[set->n++];
784 *dst = (struct ctables_summary_spec) {
785 .function = function,
786 .percentile = percentile,
787 .label = xstrdup (label),
788 .format = (format ? *format
789 : ctables_summary_default_format (function, &axis->var)),
795 for (size_t i = 0; i < 2; i++)
796 if (!add_summary_spec (axis->subs[i], function, percentile, label,
803 static struct ctables_axis *ctables_axis_parse_stack (
804 struct ctables_axis_parse_ctx *);
807 ctables_var_parse (struct lexer *lexer, struct dictionary *dict,
808 struct ctables_var *var)
810 if (ss_starts_with (lex_tokss (lexer), ss_cstr ("$")))
812 *var = (struct ctables_var) {
814 .mrset = dict_lookup_mrset (dict, lex_tokcstr (lexer))
818 lex_error (lexer, _("'%s' does not name a multiple-response set "
819 "in the active file dictionary."),
820 lex_tokcstr (lexer));
828 *var = (struct ctables_var) {
830 .var = parse_variable (lexer, dict),
832 return var->var != NULL;
836 static struct ctables_axis *
837 ctables_axis_parse_primary (struct ctables_axis_parse_ctx *ctx)
839 if (lex_match (ctx->lexer, T_LPAREN))
841 struct ctables_axis *sub = ctables_axis_parse_stack (ctx);
842 if (!sub || !lex_force_match (ctx->lexer, T_RPAREN))
844 ctables_axis_destroy (sub);
850 if (!lex_force_id (ctx->lexer))
853 int start_ofs = lex_ofs (ctx->lexer);
854 struct ctables_var var;
855 if (!ctables_var_parse (ctx->lexer, ctx->dict, &var))
858 struct ctables_axis *axis = xmalloc (sizeof *axis);
859 *axis = (struct ctables_axis) { .op = CTAO_VAR, .var = var };
861 /* XXX should figure out default measures by reading data */
862 axis->scale = (var.is_mrset ? false
863 : lex_match_phrase (ctx->lexer, "[S]") ? true
864 : lex_match_phrase (ctx->lexer, "[C]") ? false
865 : var_get_measure (var.var) == MEASURE_SCALE);
866 axis->loc = lex_ofs_location (ctx->lexer, start_ofs,
867 lex_ofs (ctx->lexer) - 1);
871 static struct ctables_axis *
872 ctables_axis_parse_postfix (struct ctables_axis_parse_ctx *ctx)
874 struct ctables_axis *sub = ctables_axis_parse_primary (ctx);
875 if (!sub || !lex_match (ctx->lexer, T_LBRACK))
881 int start_ofs = lex_ofs (ctx->lexer);
883 /* Parse function. */
884 enum ctables_summary_function function;
885 if (!parse_ctables_summary_function (ctx->lexer, &function))
888 /* Parse percentile. */
889 double percentile = 0;
890 if (function == CTSF_PTILE)
892 if (!lex_force_num_range_closed (ctx->lexer, "PTILE", 0, 100))
894 percentile = lex_number (ctx->lexer);
895 lex_get (ctx->lexer);
900 if (lex_is_string (ctx->lexer))
902 label = ss_xstrdup (lex_tokss (ctx->lexer));
903 lex_get (ctx->lexer);
906 label = ctables_summary_default_label (function, percentile);
909 struct fmt_spec format;
910 const struct fmt_spec *formatp;
911 if (lex_token (ctx->lexer) == T_ID)
913 if (!parse_format_specifier (ctx->lexer, &format)
914 || !fmt_check_output (&format)
915 || !fmt_check_type_compat (&format, VAL_NUMERIC))
925 struct msg_location *loc = lex_ofs_location (ctx->lexer, start_ofs,
926 lex_ofs (ctx->lexer) - 1);
927 add_summary_spec (sub, function, percentile, label, formatp, loc,
930 msg_location_destroy (loc);
932 if (lex_match (ctx->lexer, T_COMMA))
934 if (!totals && lex_match_id (ctx->lexer, "TOTALS"))
936 if (!lex_force_match (ctx->lexer, T_LBRACK))
941 else if (lex_force_match (ctx->lexer, T_RBRACK))
943 if (totals && !lex_force_match (ctx->lexer, T_RBRACK))
952 ctables_axis_destroy (sub);
956 static const struct ctables_axis *
957 find_scale (const struct ctables_axis *axis)
961 else if (axis->op == CTAO_VAR)
965 assert (!axis->var.is_mrset);
973 for (size_t i = 0; i < 2; i++)
975 const struct ctables_axis *scale = find_scale (axis->subs[i]);
983 static const struct ctables_axis *
984 find_categorical_summary_spec (const struct ctables_axis *axis)
988 else if (axis->op == CTAO_VAR)
989 return !axis->scale && axis->specs[CSV_CELL].n ? axis : NULL;
992 for (size_t i = 0; i < 2; i++)
994 const struct ctables_axis *sum
995 = find_categorical_summary_spec (axis->subs[i]);
1003 static struct ctables_axis *
1004 ctables_axis_parse_nest (struct ctables_axis_parse_ctx *ctx)
1006 int start_ofs = lex_ofs (ctx->lexer);
1007 struct ctables_axis *lhs = ctables_axis_parse_postfix (ctx);
1011 while (lex_match (ctx->lexer, T_GT))
1013 struct ctables_axis *rhs = ctables_axis_parse_postfix (ctx);
1017 struct ctables_axis *nest = ctables_axis_new_nonterminal (
1018 CTAO_NEST, lhs, rhs, ctx->lexer, start_ofs);
1020 const struct ctables_axis *outer_scale = find_scale (lhs);
1021 const struct ctables_axis *inner_scale = find_scale (rhs);
1022 if (outer_scale && inner_scale)
1024 msg_at (SE, nest->loc, _("Cannot nest scale variables."));
1025 msg_at (SN, outer_scale->loc, _("This is an outer scale variable."));
1026 msg_at (SN, inner_scale->loc, _("This is an inner scale variable."));
1027 ctables_axis_destroy (nest);
1031 const struct ctables_axis *outer_sum = find_categorical_summary_spec (lhs);
1034 msg_at (SE, nest->loc,
1035 _("Summaries may only be requested for categorical variables "
1036 "at the innermost nesting level."));
1037 msg_at (SN, outer_sum->loc,
1038 _("This outer categorical variable has a summary."));
1039 ctables_axis_destroy (nest);
1049 static struct ctables_axis *
1050 ctables_axis_parse_stack (struct ctables_axis_parse_ctx *ctx)
1052 int start_ofs = lex_ofs (ctx->lexer);
1053 struct ctables_axis *lhs = ctables_axis_parse_nest (ctx);
1057 while (lex_match (ctx->lexer, T_PLUS))
1059 struct ctables_axis *rhs = ctables_axis_parse_nest (ctx);
1063 lhs = ctables_axis_new_nonterminal (CTAO_STACK, lhs, rhs,
1064 ctx->lexer, start_ofs);
1071 ctables_axis_parse (struct lexer *lexer, struct dictionary *dict,
1072 struct ctables *ct, struct ctables_table *t,
1073 enum pivot_axis_type a)
1075 if (lex_token (lexer) == T_BY
1076 || lex_token (lexer) == T_SLASH
1077 || lex_token (lexer) == T_ENDCMD)
1080 struct ctables_axis_parse_ctx ctx = {
1086 t->axes[a] = ctables_axis_parse_stack (&ctx);
1087 return t->axes[a] != NULL;
1091 ctables_chisq_destroy (struct ctables_chisq *chisq)
1097 ctables_pairwise_destroy (struct ctables_pairwise *pairwise)
1103 ctables_table_destroy (struct ctables_table *t)
1108 for (size_t i = 0; i < t->n_categories; i++)
1109 ctables_categories_unref (t->categories[i]);
1110 free (t->categories);
1112 ctables_axis_destroy (t->axes[PIVOT_AXIS_COLUMN]);
1113 ctables_axis_destroy (t->axes[PIVOT_AXIS_ROW]);
1114 ctables_axis_destroy (t->axes[PIVOT_AXIS_LAYER]);
1118 ctables_chisq_destroy (t->chisq);
1119 ctables_pairwise_destroy (t->pairwise);
1124 ctables_destroy (struct ctables *ct)
1129 pivot_table_look_unref (ct->look);
1133 for (size_t i = 0; i < ct->n_tables; i++)
1134 ctables_table_destroy (ct->tables[i]);
1139 static struct ctables_category
1140 cct_range (double low, double high)
1142 return (struct ctables_category) {
1144 .range = { low, high }
1149 ctables_table_parse_categories (struct lexer *lexer, struct dictionary *dict,
1150 struct ctables_table *t)
1152 if (!lex_match_id (lexer, "VARIABLES"))
1154 lex_match (lexer, T_EQUALS);
1156 struct variable **vars;
1158 if (!parse_variables (lexer, dict, &vars, &n_vars, PV_NO_SCRATCH))
1161 struct ctables_categories *c = xmalloc (sizeof *c);
1162 *c = (struct ctables_categories) { .n_refs = n_vars };
1163 for (size_t i = 0; i < n_vars; i++)
1165 struct ctables_categories **cp
1166 = &t->categories[var_get_dict_index (vars[i])];
1167 ctables_categories_unref (*cp);
1172 size_t allocated_cats = 0;
1173 if (lex_match (lexer, T_LBRACK))
1177 if (c->n_cats >= allocated_cats)
1178 c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
1180 struct ctables_category *cat = &c->cats[c->n_cats];
1181 if (lex_match_id (lexer, "OTHERNM"))
1182 cat->type = CCT_OTHERNM;
1183 else if (lex_match_id (lexer, "MISSING"))
1184 cat->type = CCT_MISSING;
1185 else if (lex_match_id (lexer, "SUBTOTAL"))
1186 *cat = (struct ctables_category)
1187 { .type = CCT_SUBTOTAL, .total_label = NULL };
1188 else if (lex_match_id (lexer, "HSUBTOTAL"))
1189 *cat = (struct ctables_category)
1190 { .type = CCT_HSUBTOTAL, .total_label = NULL };
1191 else if (lex_match_id (lexer, "LO"))
1193 if (!lex_force_match_id (lexer, "THRU") || lex_force_num (lexer))
1195 *cat = cct_range (-DBL_MAX, lex_number (lexer));
1198 else if (lex_is_number (lexer))
1200 double number = lex_number (lexer);
1202 if (lex_match_id (lexer, "THRU"))
1204 cat->type = CCT_RANGE;
1205 cat->range[0] = number;
1206 if (lex_match_id (lexer, "HI"))
1207 *cat = cct_range (number, DBL_MAX);
1210 if (!lex_force_num (lexer))
1212 *cat = cct_range (number, lex_number (lexer));
1217 *cat = (struct ctables_category) {
1222 else if (lex_is_string (lexer))
1224 *cat = (struct ctables_category) {
1226 .string = ss_xstrdup (lex_tokss (lexer)),
1232 lex_error (lexer, NULL);
1236 if (cat->type == CCT_SUBTOTAL || cat->type == CCT_HSUBTOTAL)
1238 if (lex_match (lexer, T_EQUALS))
1240 if (!lex_force_string (lexer))
1243 cat->total_label = ss_xstrdup (lex_tokss (lexer));
1247 cat->total_label = xstrdup (_("Subtotal"));
1251 lex_match (lexer, T_COMMA);
1253 while (!lex_match (lexer, T_RBRACK));
1256 struct ctables_category cat = {
1258 .include_missing = false,
1259 .sort_ascending = true,
1261 bool show_totals = false;
1262 char *total_label = NULL;
1263 bool totals_before = false;
1264 while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
1266 if (!c->n_cats && lex_match_id (lexer, "ORDER"))
1268 lex_match (lexer, T_EQUALS);
1269 if (lex_match_id (lexer, "A"))
1270 cat.sort_ascending = true;
1271 else if (lex_match_id (lexer, "D"))
1272 cat.sort_ascending = false;
1275 lex_error_expecting (lexer, "A", "D");
1279 else if (!c->n_cats && lex_match_id (lexer, "KEY"))
1281 lex_match (lexer, T_EQUALS);
1282 if (lex_match_id (lexer, "VALUE"))
1283 cat.type = CCT_VALUE;
1284 else if (lex_match_id (lexer, "LABEL"))
1285 cat.type = CCT_LABEL;
1288 cat.type = CCT_FUNCTION;
1289 if (!parse_ctables_summary_function (lexer, &cat.sort_function))
1292 if (lex_match (lexer, T_LPAREN))
1294 cat.sort_var = parse_variable (lexer, dict);
1298 if (cat.sort_function == CTSF_PTILE)
1300 lex_match (lexer, T_COMMA);
1301 if (!lex_force_num_range_closed (lexer, "PTILE", 0, 100))
1303 cat.percentile = lex_number (lexer);
1307 if (!lex_force_match (lexer, T_RPAREN))
1310 else if (ctables_function_availability (cat.sort_function)
1313 bool UNUSED b = lex_force_match (lexer, T_LPAREN);
1318 else if (!c->n_cats && lex_match_id (lexer, "MISSING"))
1320 lex_match (lexer, T_EQUALS);
1321 if (lex_match_id (lexer, "INCLUDE"))
1322 cat.include_missing = true;
1323 else if (lex_match_id (lexer, "EXCLUDE"))
1324 cat.include_missing = false;
1327 lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
1331 else if (lex_match_id (lexer, "TOTAL"))
1333 lex_match (lexer, T_EQUALS);
1334 if (!parse_bool (lexer, &show_totals))
1337 else if (lex_match_id (lexer, "LABEL"))
1339 lex_match (lexer, T_EQUALS);
1340 if (!lex_force_string (lexer))
1343 total_label = ss_xstrdup (lex_tokss (lexer));
1346 else if (lex_match_id (lexer, "POSITION"))
1348 lex_match (lexer, T_EQUALS);
1349 if (lex_match_id (lexer, "BEFORE"))
1350 totals_before = true;
1351 else if (lex_match_id (lexer, "AFTER"))
1352 totals_before = false;
1355 lex_error_expecting (lexer, "BEFORE", "AFTER");
1359 else if (lex_match_id (lexer, "EMPTY"))
1361 lex_match (lexer, T_EQUALS);
1362 if (lex_match_id (lexer, "INCLUDE"))
1363 c->show_empty = true;
1364 else if (lex_match_id (lexer, "EXCLUDE"))
1365 c->show_empty = false;
1368 lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
1375 lex_error_expecting (lexer, "ORDER", "KEY", "MISSING",
1376 "TOTAL", "LABEL", "POSITION", "EMPTY");
1378 lex_error_expecting (lexer, "TOTAL", "LABEL", "POSITION", "EMPTY");
1385 if (c->n_cats >= allocated_cats)
1386 c->cats = x2nrealloc (c->cats, &allocated_cats,
1388 c->cats[c->n_cats++] = cat;
1393 if (c->n_cats >= allocated_cats)
1394 c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
1396 struct ctables_category *totals;
1399 insert_element (c->cats, c->n_cats, sizeof *c->cats, 0);
1400 totals = &c->cats[0];
1403 totals = &c->cats[c->n_cats];
1406 *totals = (struct ctables_category) {
1408 .total_label = total_label ? total_label : xstrdup (_("Total")),
1412 struct ctables_category *subtotal = NULL;
1413 for (size_t i = totals_before ? 0 : c->n_cats;
1414 totals_before ? i < c->n_cats : i-- > 0;
1415 totals_before ? i++ : 0)
1417 struct ctables_category *cat = &c->cats[i];
1425 cat->subtotal = subtotal;
1445 ctables_nest_uninit (struct ctables_nest *nest)
1452 ctables_stack_uninit (struct ctables_stack *stack)
1456 for (size_t i = 0; i < stack->n; i++)
1457 ctables_nest_uninit (&stack->nests[i]);
1458 free (stack->nests);
1462 static struct ctables_stack
1463 nest_fts (struct ctables_stack s0, struct ctables_stack s1)
1470 struct ctables_stack stack = { .nests = xnmalloc (s0.n, s1.n * sizeof *stack.nests) };
1471 for (size_t i = 0; i < s0.n; i++)
1472 for (size_t j = 0; j < s1.n; j++)
1474 const struct ctables_nest *a = &s0.nests[i];
1475 const struct ctables_nest *b = &s1.nests[j];
1477 size_t allocate = a->n + b->n;
1478 struct variable **vars = xnmalloc (allocate, sizeof *vars);
1479 enum pivot_axis_type *axes = xnmalloc (allocate, sizeof *axes);
1481 for (size_t k = 0; k < a->n; k++)
1482 vars[n++] = a->vars[k];
1483 for (size_t k = 0; k < b->n; k++)
1484 vars[n++] = b->vars[k];
1485 assert (n == allocate);
1487 const struct ctables_nest *summary_src;
1488 if (!a->specs[CSV_CELL].var)
1490 else if (!b->specs[CSV_CELL].var)
1494 stack.nests[stack.n++] = (struct ctables_nest) {
1496 .scale_idx = (a->scale_idx != SIZE_MAX ? a->scale_idx
1497 : b->scale_idx != SIZE_MAX ? a->n + b->scale_idx
1501 [CSV_CELL] = summary_src->specs[CSV_CELL],
1502 [CSV_TOTAL] = summary_src->specs[CSV_TOTAL],
1506 ctables_stack_uninit (&s0);
1507 ctables_stack_uninit (&s1);
1511 static struct ctables_stack
1512 stack_fts (struct ctables_stack s0, struct ctables_stack s1)
1514 struct ctables_stack stack = { .nests = xnmalloc (s0.n + s1.n, sizeof *stack.nests) };
1515 for (size_t i = 0; i < s0.n; i++)
1516 stack.nests[stack.n++] = s0.nests[i];
1517 for (size_t i = 0; i < s1.n; i++)
1518 stack.nests[stack.n++] = s1.nests[i];
1519 assert (stack.n == s0.n + s1.n);
1525 static struct ctables_stack
1526 enumerate_fts (enum pivot_axis_type axis_type, const struct ctables_axis *a)
1529 return (struct ctables_stack) { .n = 0 };
1534 assert (!a->var.is_mrset);
1536 struct variable **vars = xmalloc (sizeof *vars);
1539 struct ctables_nest *nest = xmalloc (sizeof *nest);
1540 *nest = (struct ctables_nest) {
1543 .scale_idx = a->scale ? 0 : SIZE_MAX,
1545 if (a->specs[CSV_CELL].n || a->scale)
1546 for (size_t i = 0; i < N_CSVS; i++)
1548 nest->specs[i] = a->specs[i];
1549 nest->specs[i].var = a->var.var;
1551 return (struct ctables_stack) { .nests = nest, .n = 1 };
1554 return stack_fts (enumerate_fts (axis_type, a->subs[0]),
1555 enumerate_fts (axis_type, a->subs[1]));
1558 return nest_fts (enumerate_fts (axis_type, a->subs[0]),
1559 enumerate_fts (axis_type, a->subs[1]));
1565 union ctables_summary
1567 /* COUNT, VALIDN, TOTALN. */
1574 /* MINIMUM, MAXIMUM, RANGE. */
1581 /* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
1582 struct moments1 *moments;
1584 /* XXX percentiles, median, mode, multiple response */
1588 ctables_summary_init (union ctables_summary *s,
1589 const struct ctables_summary_spec *ss)
1591 switch (ss->function)
1595 case CTSF_ROWPCT_COUNT:
1596 case CTSF_COLPCT_COUNT:
1597 case CTSF_TABLEPCT_COUNT:
1598 case CTSF_SUBTABLEPCT_COUNT:
1599 case CTSF_LAYERPCT_COUNT:
1600 case CTSF_LAYERROWPCT_COUNT:
1601 case CTSF_LAYERCOLPCT_COUNT:
1602 case CTSF_ROWPCT_VALIDN:
1603 case CTSF_COLPCT_VALIDN:
1604 case CTSF_TABLEPCT_VALIDN:
1605 case CTSF_SUBTABLEPCT_VALIDN:
1606 case CTSF_LAYERPCT_VALIDN:
1607 case CTSF_LAYERROWPCT_VALIDN:
1608 case CTSF_LAYERCOLPCT_VALIDN:
1609 case CTSF_ROWPCT_TOTALN:
1610 case CTSF_COLPCT_TOTALN:
1611 case CTSF_TABLEPCT_TOTALN:
1612 case CTSF_SUBTABLEPCT_TOTALN:
1613 case CTSF_LAYERPCT_TOTALN:
1614 case CTSF_LAYERROWPCT_TOTALN:
1615 case CTSF_LAYERCOLPCT_TOTALN:
1620 s->missing = s->valid = 0;
1626 s->min = s->max = SYSMIS;
1634 case CTSF_ROWPCT_SUM:
1635 case CTSF_COLPCT_SUM:
1636 case CTSF_TABLEPCT_SUM:
1637 case CTSF_SUBTABLEPCT_SUM:
1638 case CTSF_LAYERPCT_SUM:
1639 case CTSF_LAYERROWPCT_SUM:
1640 case CTSF_LAYERCOLPCT_SUM:
1641 s->moments = moments1_create (MOMENT_VARIANCE);
1650 case CTSF_RESPONSES:
1651 case CTSF_ROWPCT_RESPONSES:
1652 case CTSF_COLPCT_RESPONSES:
1653 case CTSF_TABLEPCT_RESPONSES:
1654 case CTSF_SUBTABLEPCT_RESPONSES:
1655 case CTSF_LAYERPCT_RESPONSES:
1656 case CTSF_LAYERROWPCT_RESPONSES:
1657 case CTSF_LAYERCOLPCT_RESPONSES:
1658 case CTSF_ROWPCT_RESPONSES_COUNT:
1659 case CTSF_COLPCT_RESPONSES_COUNT:
1660 case CTSF_TABLEPCT_RESPONSES_COUNT:
1661 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1662 case CTSF_LAYERPCT_RESPONSES_COUNT:
1663 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1664 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1665 case CTSF_ROWPCT_COUNT_RESPONSES:
1666 case CTSF_COLPCT_COUNT_RESPONSES:
1667 case CTSF_TABLEPCT_COUNT_RESPONSES:
1668 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1669 case CTSF_LAYERPCT_COUNT_RESPONSES:
1670 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1671 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1677 ctables_summary_uninit (union ctables_summary *s,
1678 const struct ctables_summary_spec *ss)
1680 switch (ss->function)
1684 case CTSF_ROWPCT_COUNT:
1685 case CTSF_COLPCT_COUNT:
1686 case CTSF_TABLEPCT_COUNT:
1687 case CTSF_SUBTABLEPCT_COUNT:
1688 case CTSF_LAYERPCT_COUNT:
1689 case CTSF_LAYERROWPCT_COUNT:
1690 case CTSF_LAYERCOLPCT_COUNT:
1691 case CTSF_ROWPCT_VALIDN:
1692 case CTSF_COLPCT_VALIDN:
1693 case CTSF_TABLEPCT_VALIDN:
1694 case CTSF_SUBTABLEPCT_VALIDN:
1695 case CTSF_LAYERPCT_VALIDN:
1696 case CTSF_LAYERROWPCT_VALIDN:
1697 case CTSF_LAYERCOLPCT_VALIDN:
1698 case CTSF_ROWPCT_TOTALN:
1699 case CTSF_COLPCT_TOTALN:
1700 case CTSF_TABLEPCT_TOTALN:
1701 case CTSF_SUBTABLEPCT_TOTALN:
1702 case CTSF_LAYERPCT_TOTALN:
1703 case CTSF_LAYERROWPCT_TOTALN:
1704 case CTSF_LAYERCOLPCT_TOTALN:
1721 case CTSF_ROWPCT_SUM:
1722 case CTSF_COLPCT_SUM:
1723 case CTSF_TABLEPCT_SUM:
1724 case CTSF_SUBTABLEPCT_SUM:
1725 case CTSF_LAYERPCT_SUM:
1726 case CTSF_LAYERROWPCT_SUM:
1727 case CTSF_LAYERCOLPCT_SUM:
1728 moments1_destroy (s->moments);
1737 case CTSF_RESPONSES:
1738 case CTSF_ROWPCT_RESPONSES:
1739 case CTSF_COLPCT_RESPONSES:
1740 case CTSF_TABLEPCT_RESPONSES:
1741 case CTSF_SUBTABLEPCT_RESPONSES:
1742 case CTSF_LAYERPCT_RESPONSES:
1743 case CTSF_LAYERROWPCT_RESPONSES:
1744 case CTSF_LAYERCOLPCT_RESPONSES:
1745 case CTSF_ROWPCT_RESPONSES_COUNT:
1746 case CTSF_COLPCT_RESPONSES_COUNT:
1747 case CTSF_TABLEPCT_RESPONSES_COUNT:
1748 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1749 case CTSF_LAYERPCT_RESPONSES_COUNT:
1750 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1751 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1752 case CTSF_ROWPCT_COUNT_RESPONSES:
1753 case CTSF_COLPCT_COUNT_RESPONSES:
1754 case CTSF_TABLEPCT_COUNT_RESPONSES:
1755 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1756 case CTSF_LAYERPCT_COUNT_RESPONSES:
1757 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1758 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1764 ctables_summary_add (union ctables_summary *s,
1765 const struct ctables_summary_spec *ss,
1766 const struct variable *var, const union value *value,
1769 switch (ss->function)
1773 case CTSF_ROWPCT_COUNT:
1774 case CTSF_COLPCT_COUNT:
1775 case CTSF_TABLEPCT_COUNT:
1776 case CTSF_SUBTABLEPCT_COUNT:
1777 case CTSF_LAYERPCT_COUNT:
1778 case CTSF_LAYERROWPCT_COUNT:
1779 case CTSF_LAYERCOLPCT_COUNT:
1780 case CTSF_ROWPCT_VALIDN:
1781 case CTSF_COLPCT_VALIDN:
1782 case CTSF_TABLEPCT_VALIDN:
1783 case CTSF_SUBTABLEPCT_VALIDN:
1784 case CTSF_LAYERPCT_VALIDN:
1785 case CTSF_LAYERROWPCT_VALIDN:
1786 case CTSF_LAYERCOLPCT_VALIDN:
1787 case CTSF_ROWPCT_TOTALN:
1788 case CTSF_COLPCT_TOTALN:
1789 case CTSF_TABLEPCT_TOTALN:
1790 case CTSF_SUBTABLEPCT_TOTALN:
1791 case CTSF_LAYERPCT_TOTALN:
1792 case CTSF_LAYERROWPCT_TOTALN:
1793 case CTSF_LAYERCOLPCT_TOTALN:
1798 if (var_is_value_missing (var, value))
1799 s->missing += weight;
1807 if (!var_is_value_missing (var, value))
1809 assert (!var_is_alpha (var)); /* XXX? */
1810 if (s->min == SYSMIS || value->f < s->min)
1812 if (s->max == SYSMIS || value->f > s->max)
1822 case CTSF_ROWPCT_SUM:
1823 case CTSF_COLPCT_SUM:
1824 case CTSF_TABLEPCT_SUM:
1825 case CTSF_SUBTABLEPCT_SUM:
1826 case CTSF_LAYERPCT_SUM:
1827 case CTSF_LAYERROWPCT_SUM:
1828 case CTSF_LAYERCOLPCT_SUM:
1829 moments1_add (s->moments, value->f, weight);
1838 case CTSF_RESPONSES:
1839 case CTSF_ROWPCT_RESPONSES:
1840 case CTSF_COLPCT_RESPONSES:
1841 case CTSF_TABLEPCT_RESPONSES:
1842 case CTSF_SUBTABLEPCT_RESPONSES:
1843 case CTSF_LAYERPCT_RESPONSES:
1844 case CTSF_LAYERROWPCT_RESPONSES:
1845 case CTSF_LAYERCOLPCT_RESPONSES:
1846 case CTSF_ROWPCT_RESPONSES_COUNT:
1847 case CTSF_COLPCT_RESPONSES_COUNT:
1848 case CTSF_TABLEPCT_RESPONSES_COUNT:
1849 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1850 case CTSF_LAYERPCT_RESPONSES_COUNT:
1851 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1852 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1853 case CTSF_ROWPCT_COUNT_RESPONSES:
1854 case CTSF_COLPCT_COUNT_RESPONSES:
1855 case CTSF_TABLEPCT_COUNT_RESPONSES:
1856 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1857 case CTSF_LAYERPCT_COUNT_RESPONSES:
1858 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
1859 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
1865 ctables_summary_value (const struct ctables_cell *cell,
1866 union ctables_summary *s,
1867 const struct ctables_summary_spec *ss)
1869 switch (ss->function)
1875 case CTSF_SUBTABLEPCT_COUNT:
1876 return cell->domains[CTDT_SUBTABLE]->valid ? s->valid / cell->domains[CTDT_SUBTABLE]->valid * 100 : SYSMIS;
1878 case CTSF_ROWPCT_COUNT:
1879 return cell->domains[CTDT_ROW]->valid ? s->valid / cell->domains[CTDT_ROW]->valid * 100 : SYSMIS;
1881 case CTSF_COLPCT_COUNT:
1882 return cell->domains[CTDT_COL]->valid ? s->valid / cell->domains[CTDT_COL]->valid * 100 : SYSMIS;
1884 case CTSF_TABLEPCT_COUNT:
1885 return cell->domains[CTDT_TABLE]->valid ? s->valid / cell->domains[CTDT_TABLE]->valid * 100 : SYSMIS;
1887 case CTSF_LAYERPCT_COUNT:
1888 return cell->domains[CTDT_LAYER]->valid ? s->valid / cell->domains[CTDT_LAYER]->valid * 100 : SYSMIS;
1890 case CTSF_LAYERROWPCT_COUNT:
1891 return cell->domains[CTDT_LAYERROW]->valid ? s->valid / cell->domains[CTDT_LAYERROW]->valid * 100 : SYSMIS;
1893 case CTSF_LAYERCOLPCT_COUNT:
1894 return cell->domains[CTDT_LAYERCOL]->valid ? s->valid / cell->domains[CTDT_LAYERCOL]->valid * 100 : SYSMIS;
1896 case CTSF_ROWPCT_VALIDN:
1897 case CTSF_COLPCT_VALIDN:
1898 case CTSF_TABLEPCT_VALIDN:
1899 case CTSF_SUBTABLEPCT_VALIDN:
1900 case CTSF_LAYERPCT_VALIDN:
1901 case CTSF_LAYERROWPCT_VALIDN:
1902 case CTSF_LAYERCOLPCT_VALIDN:
1903 case CTSF_ROWPCT_TOTALN:
1904 case CTSF_COLPCT_TOTALN:
1905 case CTSF_TABLEPCT_TOTALN:
1906 case CTSF_SUBTABLEPCT_TOTALN:
1907 case CTSF_LAYERPCT_TOTALN:
1908 case CTSF_LAYERROWPCT_TOTALN:
1909 case CTSF_LAYERCOLPCT_TOTALN:
1914 return s->valid + s->missing;
1927 return s->max != SYSMIS && s->min != SYSMIS ? s->max - s->min : SYSMIS;
1932 moments1_calculate (s->moments, NULL, &mean, NULL, NULL, NULL);
1938 double weight, variance;
1939 moments1_calculate (s->moments, &weight, NULL, &variance, NULL, NULL);
1940 return calc_semean (variance, weight);
1946 moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
1947 return variance != SYSMIS ? sqrt (variance) : SYSMIS;
1952 double weight, mean;
1953 moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
1954 return weight != SYSMIS && mean != SYSMIS ? weight * mean : SYSMIS;
1960 moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
1964 case CTSF_ROWPCT_SUM:
1965 case CTSF_COLPCT_SUM:
1966 case CTSF_TABLEPCT_SUM:
1967 case CTSF_SUBTABLEPCT_SUM:
1968 case CTSF_LAYERPCT_SUM:
1969 case CTSF_LAYERROWPCT_SUM:
1970 case CTSF_LAYERCOLPCT_SUM:
1979 case CTSF_RESPONSES:
1980 case CTSF_ROWPCT_RESPONSES:
1981 case CTSF_COLPCT_RESPONSES:
1982 case CTSF_TABLEPCT_RESPONSES:
1983 case CTSF_SUBTABLEPCT_RESPONSES:
1984 case CTSF_LAYERPCT_RESPONSES:
1985 case CTSF_LAYERROWPCT_RESPONSES:
1986 case CTSF_LAYERCOLPCT_RESPONSES:
1987 case CTSF_ROWPCT_RESPONSES_COUNT:
1988 case CTSF_COLPCT_RESPONSES_COUNT:
1989 case CTSF_TABLEPCT_RESPONSES_COUNT:
1990 case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
1991 case CTSF_LAYERPCT_RESPONSES_COUNT:
1992 case CTSF_LAYERROWPCT_RESPONSES_COUNT:
1993 case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
1994 case CTSF_ROWPCT_COUNT_RESPONSES:
1995 case CTSF_COLPCT_COUNT_RESPONSES:
1996 case CTSF_TABLEPCT_COUNT_RESPONSES:
1997 case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
1998 case CTSF_LAYERPCT_COUNT_RESPONSES:
1999 case CTSF_LAYERROWPCT_COUNT_RESPONSES:
2000 case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
2007 struct ctables_cell_sort_aux
2009 const struct ctables_table *t;
2010 enum pivot_axis_type a;
2014 ctables_cell_compare_3way (const void *a_, const void *b_, const void *aux_)
2016 const struct ctables_cell_sort_aux *aux = aux_;
2017 struct ctables_cell *const *ap = a_;
2018 struct ctables_cell *const *bp = b_;
2019 const struct ctables_cell *a = *ap;
2020 const struct ctables_cell *b = *bp;
2022 size_t a_idx = a->axes[aux->a].stack_idx;
2023 size_t b_idx = b->axes[aux->a].stack_idx;
2025 return a_idx < b_idx ? -1 : 1;
2027 const struct ctables_nest *nest = &aux->t->stacks[aux->a].nests[a_idx];
2028 for (size_t i = 0; i < nest->n; i++)
2029 if (i != nest->scale_idx)
2031 const struct variable *var = nest->vars[i];
2032 const struct ctables_cell_value *a_cv = &a->axes[aux->a].cvs[i];
2033 const struct ctables_cell_value *b_cv = &b->axes[aux->a].cvs[i];
2034 if (a_cv->category != b_cv->category)
2035 return a_cv->category > b_cv->category ? 1 : -1;
2037 const union value *a_val = &a_cv->value;
2038 const union value *b_val = &b_cv->value;
2039 switch (a_cv->category->type)
2046 /* Must be equal. */
2053 int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
2061 int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
2063 return a_cv->category->sort_ascending ? cmp : -cmp;
2069 const char *a_label = var_lookup_value_label (var, a_val);
2070 const char *b_label = var_lookup_value_label (var, b_val);
2072 ? (b_label ? strcmp (a_label, b_label) : 1)
2073 : (b_label ? -1 : value_compare_3way (
2074 a_val, b_val, var_get_width (var))));
2076 return a_cv->category->sort_ascending ? cmp : -cmp;
2090 For each ctables_table:
2091 For each combination of row vars:
2092 For each combination of column vars:
2093 For each combination of layer vars:
2095 Make a table of row values:
2096 Sort entries by row values
2097 Assign a 0-based index to each actual value
2098 Construct a dimension
2099 Make a table of column values
2100 Make a table of layer values
2102 Fill the table entry using the indexes from before.
2105 static struct ctables_domain *
2106 ctables_domain_insert (struct ctables_table *t, struct ctables_cell *cell,
2107 enum ctables_domain_type domain)
2110 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2112 size_t idx = cell->axes[a].stack_idx;
2113 const struct ctables_nest *nest = &t->stacks[a].nests[idx];
2114 hash = hash_int (idx, hash);
2115 for (size_t i = 0; i < nest->n_domains[domain]; i++)
2117 size_t v_idx = nest->domains[domain][i];
2118 hash = value_hash (&cell->axes[a].cvs[v_idx].value,
2119 var_get_width (nest->vars[v_idx]), hash);
2123 struct ctables_domain *d;
2124 HMAP_FOR_EACH_WITH_HASH (d, struct ctables_domain, node, hash, &t->domains[domain])
2126 const struct ctables_cell *df = d->example;
2127 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2129 size_t idx = cell->axes[a].stack_idx;
2130 if (idx != df->axes[a].stack_idx)
2133 const struct ctables_nest *nest = &t->stacks[a].nests[idx];
2134 for (size_t i = 0; i < nest->n_domains[domain]; i++)
2136 size_t v_idx = nest->domains[domain][i];
2137 if (!value_equal (&df->axes[a].cvs[v_idx].value,
2138 &cell->axes[a].cvs[v_idx].value,
2139 var_get_width (nest->vars[v_idx])))
2148 d = xmalloc (sizeof *d);
2149 *d = (struct ctables_domain) { .example = cell };
2150 hmap_insert (&t->domains[domain], &d->node, hash);
2154 static const struct ctables_category *
2155 ctables_categories_match (const struct ctables_categories *c,
2156 const union value *v, const struct variable *var)
2158 const struct ctables_category *othernm = NULL;
2159 for (size_t i = c->n_cats; i-- > 0; )
2161 const struct ctables_category *cat = &c->cats[i];
2165 if (cat->number == v->f)
2173 if ((cat->range[0] == -DBL_MAX || v->f >= cat->range[0])
2174 && (cat->range[1] == DBL_MAX || v->f <= cat->range[1]))
2179 if (var_is_value_missing (var, v))
2196 return (cat->include_missing || !var_is_value_missing (var, v) ? cat
2201 return var_is_value_missing (var, v) ? NULL : othernm;
2204 static const struct ctables_category *
2205 ctables_categories_total (const struct ctables_categories *c)
2207 const struct ctables_category *first = &c->cats[0];
2208 const struct ctables_category *last = &c->cats[c->n_cats - 1];
2209 return (first->type == CCT_TOTAL ? first
2210 : last->type == CCT_TOTAL ? last
2214 static struct ctables_cell *
2215 ctables_cell_insert__ (struct ctables_table *t, const struct ccase *c,
2216 size_t ix[PIVOT_N_AXES],
2217 const struct ctables_category *cats[PIVOT_N_AXES][10])
2219 const struct ctables_nest *ss = &t->stacks[t->summary_axis].nests[ix[t->summary_axis]];
2222 enum ctables_summary_variant sv = CSV_CELL;
2223 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2225 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2226 hash = hash_int (ix[a], hash);
2227 for (size_t i = 0; i < nest->n; i++)
2228 if (i != nest->scale_idx)
2230 hash = hash_pointer (cats[a][i], hash);
2231 if (cats[a][i]->type != CCT_TOTAL
2232 && cats[a][i]->type != CCT_SUBTOTAL
2233 && cats[a][i]->type != CCT_HSUBTOTAL)
2234 hash = value_hash (case_data (c, nest->vars[i]),
2235 var_get_width (nest->vars[i]), hash);
2241 struct ctables_cell *cell;
2242 HMAP_FOR_EACH_WITH_HASH (cell, struct ctables_cell, node, hash, &t->cells)
2244 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2246 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2247 if (cell->axes[a].stack_idx != ix[a])
2249 for (size_t i = 0; i < nest->n; i++)
2250 if (i != nest->scale_idx
2251 && (cats[a][i] != cell->axes[a].cvs[i].category
2252 || (cats[a][i]->type != CCT_TOTAL
2253 && cats[a][i]->type != CCT_SUBTOTAL
2254 && cats[a][i]->type != CCT_HSUBTOTAL
2255 && !value_equal (case_data (c, nest->vars[i]),
2256 &cell->axes[a].cvs[i].value,
2257 var_get_width (nest->vars[i])))))
2266 cell = xmalloc (sizeof *cell);
2269 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2271 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2272 cell->axes[a].stack_idx = ix[a];
2273 cell->axes[a].cvs = (nest->n
2274 ? xnmalloc (nest->n, sizeof *cell->axes[a].cvs)
2276 for (size_t i = 0; i < nest->n; i++)
2278 if (i != nest->scale_idx)
2280 const struct ctables_category *subtotal = cats[a][i]->subtotal;
2281 if (subtotal && subtotal->type == CCT_HSUBTOTAL)
2285 cell->axes[a].cvs[i].category = cats[a][i];
2286 value_clone (&cell->axes[a].cvs[i].value, case_data (c, nest->vars[i]),
2287 var_get_width (nest->vars[i]));
2291 const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
2292 cell->summaries = xmalloc (specs->n * sizeof *cell->summaries);
2293 for (size_t i = 0; i < specs->n; i++)
2294 ctables_summary_init (&cell->summaries[i], &specs->specs[i]);
2295 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2296 cell->domains[dt] = ctables_domain_insert (t, cell, dt);
2297 hmap_insert (&t->cells, &cell->node, hash);
2302 ctables_cell_add__ (struct ctables_table *t, const struct ccase *c,
2303 size_t ix[PIVOT_N_AXES],
2304 const struct ctables_category *cats[PIVOT_N_AXES][10],
2307 struct ctables_cell *cell = ctables_cell_insert__ (t, c, ix, cats);
2308 const struct ctables_nest *ss = &t->stacks[t->summary_axis].nests[ix[t->summary_axis]];
2310 const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
2311 for (size_t i = 0; i < specs->n; i++)
2312 ctables_summary_add (&cell->summaries[i], &specs->specs[i], specs->var,
2313 case_data (c, specs->var), weight);
2314 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2315 cell->domains[dt]->valid += weight;
2319 recurse_totals (struct ctables_table *t, const struct ccase *c,
2320 size_t ix[PIVOT_N_AXES],
2321 const struct ctables_category *cats[PIVOT_N_AXES][10],
2323 enum pivot_axis_type start_axis, size_t start_nest)
2325 for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
2327 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2328 for (size_t i = start_nest; i < nest->n; i++)
2330 if (i == nest->scale_idx)
2333 const struct variable *var = nest->vars[i];
2335 const struct ctables_category *total = ctables_categories_total (
2336 t->categories[var_get_dict_index (var)]);
2339 const struct ctables_category *save = cats[a][i];
2341 ctables_cell_add__ (t, c, ix, cats, weight);
2342 recurse_totals (t, c, ix, cats, weight, a, i + 1);
2351 ctables_cell_insert (struct ctables_table *t,
2352 const struct ccase *c,
2353 size_t ir, size_t ic, size_t il,
2356 size_t ix[PIVOT_N_AXES] = {
2357 [PIVOT_AXIS_ROW] = ir,
2358 [PIVOT_AXIS_COLUMN] = ic,
2359 [PIVOT_AXIS_LAYER] = il,
2362 const struct ctables_category *cats[PIVOT_N_AXES][10];
2363 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2365 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2366 for (size_t i = 0; i < nest->n; i++)
2368 if (i == nest->scale_idx)
2371 const struct variable *var = nest->vars[i];
2372 const union value *value = case_data (c, var);
2374 if (var_is_numeric (var) && value->f == SYSMIS)
2377 cats[a][i] = ctables_categories_match (
2378 t->categories[var_get_dict_index (var)], value, var);
2384 ctables_cell_add__ (t, c, ix, cats, weight);
2386 recurse_totals (t, c, ix, cats, weight, 0, 0);
2388 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2390 const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
2391 for (size_t i = 0; i < nest->n; i++)
2393 if (i == nest->scale_idx)
2396 const struct ctables_category *save = cats[a][i];
2399 cats[a][i] = save->subtotal;
2400 ctables_cell_add__ (t, c, ix, cats, weight);
2408 ctables_execute (struct dataset *ds, struct ctables *ct)
2410 for (size_t i = 0; i < ct->n_tables; i++)
2412 struct ctables_table *t = ct->tables[i];
2413 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2416 t->stacks[a] = enumerate_fts (a, t->axes[a]);
2418 for (size_t j = 0; j < t->stacks[a].n; j++)
2420 struct ctables_nest *nest = &t->stacks[a].nests[j];
2421 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2423 nest->domains[dt] = xmalloc (nest->n * sizeof *nest->domains[dt]);
2424 nest->n_domains[dt] = 0;
2426 for (size_t k = 0; k < nest->n; k++)
2428 if (k == nest->scale_idx)
2437 if (a != PIVOT_AXIS_LAYER)
2444 if (dt == CTDT_SUBTABLE ? a != PIVOT_AXIS_LAYER
2445 : dt == CTDT_ROW ? a == PIVOT_AXIS_COLUMN
2446 : a == PIVOT_AXIS_ROW)
2448 if (k == nest->n - 1
2449 || (nest->scale_idx == nest->n - 1
2450 && k == nest->n - 2))
2456 if (a == PIVOT_AXIS_COLUMN)
2461 if (a == PIVOT_AXIS_ROW)
2466 nest->domains[dt][nest->n_domains[dt]++] = k;
2473 struct ctables_nest *nest = xmalloc (sizeof *nest);
2474 *nest = (struct ctables_nest) { .n = 0 };
2475 t->stacks[a] = (struct ctables_stack) { .nests = nest, .n = 1 };
2478 for (size_t i = 0; i < t->stacks[t->summary_axis].n; i++)
2480 struct ctables_nest *nest = &t->stacks[t->summary_axis].nests[i];
2481 if (!nest->specs[CSV_CELL].n)
2483 struct ctables_summary_spec_set *sss = &nest->specs[CSV_CELL];
2484 sss->specs = xmalloc (sizeof *sss->specs);
2487 enum ctables_summary_function function
2488 = sss->var ? CTSF_MEAN : CTSF_COUNT;
2489 struct ctables_var var = { .is_mrset = false, .var = sss->var };
2491 *sss->specs = (struct ctables_summary_spec) {
2492 .function = function,
2493 .format = ctables_summary_default_format (function, &var),
2494 .label = ctables_summary_default_label (function, 0),
2497 sss->var = nest->vars[0];
2499 nest->specs[CSV_TOTAL] = nest->specs[CSV_CELL];
2501 else if (!nest->specs[CSV_TOTAL].n)
2502 nest->specs[CSV_TOTAL] = nest->specs[CSV_CELL];
2506 struct casereader *input = casereader_create_filter_weight (proc_open (ds),
2509 bool warn_on_invalid = true;
2510 double total_weight = 0;
2511 for (struct ccase *c = casereader_read (input); c;
2512 case_unref (c), c = casereader_read (input))
2514 double weight = dict_get_case_weight (dataset_dict (ds), c,
2516 total_weight += weight;
2518 for (size_t i = 0; i < ct->n_tables; i++)
2520 struct ctables_table *t = ct->tables[i];
2522 for (size_t ir = 0; ir < t->stacks[PIVOT_AXIS_ROW].n; ir++)
2523 for (size_t ic = 0; ic < t->stacks[PIVOT_AXIS_COLUMN].n; ic++)
2524 for (size_t il = 0; il < t->stacks[PIVOT_AXIS_LAYER].n; il++)
2525 ctables_cell_insert (t, c, ir, ic, il, weight);
2528 casereader_destroy (input);
2530 for (size_t i = 0; i < ct->n_tables; i++)
2532 struct ctables_table *t = ct->tables[i];
2534 struct pivot_table *pt = pivot_table_create__ (
2536 ? pivot_value_new_user_text (t->title, SIZE_MAX)
2537 : pivot_value_new_text (N_("Custom Tables"))),
2540 pivot_table_set_caption (
2541 pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
2543 pivot_table_set_caption (
2544 pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
2546 pivot_table_set_look (pt, ct->look);
2547 struct pivot_dimension *d[PIVOT_N_AXES];
2548 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2550 static const char *names[] = {
2551 [PIVOT_AXIS_ROW] = N_("Rows"),
2552 [PIVOT_AXIS_COLUMN] = N_("Columns"),
2553 [PIVOT_AXIS_LAYER] = N_("Layers"),
2555 d[a] = (t->axes[a] || a == t->summary_axis
2556 ? pivot_dimension_create (pt, a, names[a])
2561 assert (t->axes[a]);
2563 struct ctables_cell **sorted = xnmalloc (t->cells.count, sizeof *sorted);
2565 struct ctables_cell *cell;
2567 HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
2570 assert (n <= t->cells.count);
2572 struct ctables_cell_sort_aux aux = { .t = t, .a = a };
2573 sort (sorted, n, sizeof *sorted, ctables_cell_compare_3way, &aux);
2575 size_t max_depth = 0;
2576 for (size_t j = 0; j < t->stacks[a].n; j++)
2577 if (t->stacks[a].nests[j].n > max_depth)
2578 max_depth = t->stacks[a].nests[j].n;
2580 struct pivot_category **groups = xnmalloc (max_depth, sizeof *groups);
2581 struct pivot_category *top = NULL;
2583 for (size_t j = 0; j < n; j++)
2585 struct ctables_cell *cell = sorted[j];
2586 const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].stack_idx];
2588 size_t n_common = 0;
2589 bool new_subtable = false;
2592 struct ctables_cell *prev = sorted[j - 1];
2593 if (prev->axes[a].stack_idx == cell->axes[a].stack_idx)
2595 for (; n_common < nest->n; n_common++)
2596 if (n_common != nest->scale_idx
2597 && (prev->axes[a].cvs[n_common].category
2598 != cell->axes[a].cvs[n_common].category
2599 || !value_equal (&prev->axes[a].cvs[n_common].value,
2600 &cell->axes[a].cvs[n_common].value,
2601 var_get_type (nest->vars[n_common]))))
2605 new_subtable = true;
2608 new_subtable = true;
2612 enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[0])];
2614 if (vlabel != CTVL_NONE)
2615 top = pivot_category_create_group__ (
2616 top, pivot_value_new_variable (nest->vars[0]));
2618 if (n_common == nest->n)
2620 cell->axes[a].leaf = prev_leaf;
2624 for (size_t k = n_common; k < nest->n; k++)
2626 struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
2628 struct pivot_value *label
2629 = (k == nest->scale_idx ? NULL
2630 : (cell->axes[a].cvs[k].category->type == CCT_TOTAL
2631 || cell->axes[a].cvs[k].category->type == CCT_SUBTOTAL
2632 || cell->axes[a].cvs[k].category->type == CCT_HSUBTOTAL)
2633 ? pivot_value_new_user_text (cell->axes[a].cvs[k].category->total_label,
2635 : pivot_value_new_var_value (nest->vars[k],
2636 &cell->axes[a].cvs[k].value));
2637 if (k == nest->n - 1)
2639 if (a == t->summary_axis)
2642 parent = pivot_category_create_group__ (parent, label);
2643 const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
2644 for (size_t m = 0; m < specs->n; m++)
2646 int leaf = pivot_category_create_leaf (
2647 parent, pivot_value_new_text (specs->specs[m].label));
2654 /* This assertion is true as long as the summary axis
2655 is the axis where the summaries are displayed. */
2658 prev_leaf = pivot_category_create_leaf (parent, label);
2664 parent = pivot_category_create_group__ (parent, label);
2666 enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k + 1])];
2667 if (vlabel != CTVL_NONE)
2668 parent = pivot_category_create_group__ (
2669 parent, pivot_value_new_variable (nest->vars[k + 1]));
2673 cell->axes[a].leaf = prev_leaf;
2678 struct ctables_cell *cell;
2679 HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
2684 const struct ctables_nest *nest = &t->stacks[t->summary_axis].nests[cell->axes[t->summary_axis].stack_idx];
2685 const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
2686 for (size_t j = 0; j < specs->n; j++)
2689 size_t n_dindexes = 0;
2691 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2694 int leaf = cell->axes[a].leaf;
2695 if (a == t->summary_axis)
2697 dindexes[n_dindexes++] = leaf;
2700 double d = ctables_summary_value (cell, &cell->summaries[j], &specs->specs[j]);
2701 struct pivot_value *value = pivot_value_new_number (d);
2702 value->numeric.format = specs->specs[j].format;
2703 pivot_table_put (pt, dindexes, n_dindexes, value);
2707 pivot_table_submit (pt);
2710 return proc_commit (ds);
2714 cmd_ctables (struct lexer *lexer, struct dataset *ds)
2716 size_t n_vars = dict_get_n_vars (dataset_dict (ds));
2717 enum ctables_vlabel *vlabels = xnmalloc (n_vars, sizeof *vlabels);
2718 enum settings_value_show tvars = settings_get_show_variables ();
2719 for (size_t i = 0; i < n_vars; i++)
2720 vlabels[i] = (enum ctables_vlabel) tvars;
2722 struct ctables *ct = xmalloc (sizeof *ct);
2723 *ct = (struct ctables) {
2724 .look = pivot_table_look_unshare (pivot_table_look_ref (
2725 pivot_table_look_get_default ())),
2727 .hide_threshold = 5,
2729 ct->look->omit_empty = false;
2731 if (!lex_force_match (lexer, T_SLASH))
2734 while (!lex_match_id (lexer, "TABLE"))
2736 if (lex_match_id (lexer, "FORMAT"))
2738 double widths[2] = { SYSMIS, SYSMIS };
2739 double units_per_inch = 72.0;
2741 while (lex_token (lexer) != T_SLASH)
2743 if (lex_match_id (lexer, "MINCOLWIDTH"))
2745 if (!parse_col_width (lexer, "MINCOLWIDTH", &widths[0]))
2748 else if (lex_match_id (lexer, "MAXCOLWIDTH"))
2750 if (!parse_col_width (lexer, "MAXCOLWIDTH", &widths[1]))
2753 else if (lex_match_id (lexer, "UNITS"))
2755 lex_match (lexer, T_EQUALS);
2756 if (lex_match_id (lexer, "POINTS"))
2757 units_per_inch = 72.0;
2758 else if (lex_match_id (lexer, "INCHES"))
2759 units_per_inch = 1.0;
2760 else if (lex_match_id (lexer, "CM"))
2761 units_per_inch = 2.54;
2764 lex_error_expecting (lexer, "POINTS", "INCHES", "CM");
2768 else if (lex_match_id (lexer, "EMPTY"))
2773 lex_match (lexer, T_EQUALS);
2774 if (lex_match_id (lexer, "ZERO"))
2776 /* Nothing to do. */
2778 else if (lex_match_id (lexer, "BLANK"))
2779 ct->zero = xstrdup ("");
2780 else if (lex_force_string (lexer))
2782 ct->zero = ss_xstrdup (lex_tokss (lexer));
2788 else if (lex_match_id (lexer, "MISSING"))
2790 lex_match (lexer, T_EQUALS);
2791 if (!lex_force_string (lexer))
2795 ct->missing = (strcmp (lex_tokcstr (lexer), ".")
2796 ? ss_xstrdup (lex_tokss (lexer))
2802 lex_error_expecting (lexer, "MINCOLWIDTH", "MAXCOLWIDTH",
2803 "UNITS", "EMPTY", "MISSING");
2808 if (widths[0] != SYSMIS && widths[1] != SYSMIS
2809 && widths[0] > widths[1])
2811 msg (SE, _("MINCOLWIDTH must not be greater than MAXCOLWIDTH."));
2815 for (size_t i = 0; i < 2; i++)
2816 if (widths[i] != SYSMIS)
2818 int *wr = ct->look->width_ranges[TABLE_HORZ];
2819 wr[i] = widths[i] / units_per_inch * 96.0;
2824 else if (lex_match_id (lexer, "VLABELS"))
2826 if (!lex_force_match_id (lexer, "VARIABLES"))
2828 lex_match (lexer, T_EQUALS);
2830 struct variable **vars;
2832 if (!parse_variables (lexer, dataset_dict (ds), &vars, &n_vars,
2836 if (!lex_force_match_id (lexer, "DISPLAY"))
2841 lex_match (lexer, T_EQUALS);
2843 enum ctables_vlabel vlabel;
2844 if (lex_match_id (lexer, "DEFAULT"))
2845 vlabel = (enum ctables_vlabel) settings_get_show_variables ();
2846 else if (lex_match_id (lexer, "NAME"))
2848 else if (lex_match_id (lexer, "LABEL"))
2849 vlabel = CTVL_LABEL;
2850 else if (lex_match_id (lexer, "BOTH"))
2852 else if (lex_match_id (lexer, "NONE"))
2856 lex_error_expecting (lexer, "DEFAULT", "NAME", "LABEL",
2862 for (size_t i = 0; i < n_vars; i++)
2863 ct->vlabels[var_get_dict_index (vars[i])] = vlabel;
2866 else if (lex_match_id (lexer, "MRSETS"))
2868 if (!lex_force_match_id (lexer, "COUNTDUPLICATES"))
2870 lex_match (lexer, T_EQUALS);
2871 if (!parse_bool (lexer, &ct->mrsets_count_duplicates))
2874 else if (lex_match_id (lexer, "SMISSING"))
2876 if (lex_match_id (lexer, "VARIABLE"))
2877 ct->smissing_listwise = false;
2878 else if (lex_match_id (lexer, "LISTWISE"))
2879 ct->smissing_listwise = true;
2882 lex_error_expecting (lexer, "VARIABLE", "LISTWISE");
2887 else if (lex_match_id (lexer, "WEIGHT"))
2889 if (!lex_force_match_id (lexer, "VARIABLE"))
2891 lex_match (lexer, T_EQUALS);
2892 ct->base_weight = parse_variable (lexer, dataset_dict (ds));
2893 if (!ct->base_weight)
2896 else if (lex_match_id (lexer, "HIDESMALLCOUNTS"))
2898 if (!lex_force_match_id (lexer, "COUNT"))
2900 lex_match (lexer, T_EQUALS);
2901 if (!lex_force_int_range (lexer, "HIDESMALLCOUNTS COUNT", 2, INT_MAX))
2903 ct->hide_threshold = lex_integer (lexer);
2908 lex_error_expecting (lexer, "FORMAT", "VLABELS", "MRSETS",
2909 "SMISSING", "PCOMPUTE", "PPROPERTIES",
2910 "WEIGHT", "HIDESMALLCOUNTS", "TABLE");
2914 if (!lex_force_match (lexer, T_SLASH))
2918 size_t allocated_tables = 0;
2921 if (ct->n_tables >= allocated_tables)
2922 ct->tables = x2nrealloc (ct->tables, &allocated_tables,
2923 sizeof *ct->tables);
2925 struct ctables_category *cat = xmalloc (sizeof *cat);
2926 *cat = (struct ctables_category) {
2928 .include_missing = false,
2929 .sort_ascending = true,
2932 struct ctables_categories *c = xmalloc (sizeof *c);
2933 size_t n_vars = dict_get_n_vars (dataset_dict (ds));
2934 *c = (struct ctables_categories) {
2940 struct ctables_categories **categories = xnmalloc (n_vars,
2941 sizeof *categories);
2942 for (size_t i = 0; i < n_vars; i++)
2945 struct ctables_table *t = xmalloc (sizeof *t);
2946 *t = (struct ctables_table) {
2947 .cells = HMAP_INITIALIZER (t->cells),
2948 .slabels_position = PIVOT_AXIS_COLUMN,
2949 .slabels_visible = true,
2950 .row_labels = CTLP_NORMAL,
2951 .col_labels = CTLP_NORMAL,
2952 .categories = categories,
2953 .n_categories = n_vars,
2956 for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
2957 hmap_init (&t->domains[dt]);
2958 ct->tables[ct->n_tables++] = t;
2960 lex_match (lexer, T_EQUALS);
2961 if (!ctables_axis_parse (lexer, dataset_dict (ds), ct, t, PIVOT_AXIS_ROW))
2963 if (lex_match (lexer, T_BY))
2965 if (!ctables_axis_parse (lexer, dataset_dict (ds),
2966 ct, t, PIVOT_AXIS_COLUMN))
2969 if (lex_match (lexer, T_BY))
2971 if (!ctables_axis_parse (lexer, dataset_dict (ds),
2972 ct, t, PIVOT_AXIS_LAYER))
2977 if (!t->axes[PIVOT_AXIS_ROW] && !t->axes[PIVOT_AXIS_COLUMN]
2978 && !t->axes[PIVOT_AXIS_LAYER])
2980 lex_error (lexer, _("At least one variable must be specified."));
2984 const struct ctables_axis *scales[PIVOT_N_AXES];
2985 size_t n_scales = 0;
2986 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
2988 scales[a] = find_scale (t->axes[a]);
2994 msg (SE, _("Scale variables may appear only on one axis."));
2995 if (scales[PIVOT_AXIS_ROW])
2996 msg_at (SN, scales[PIVOT_AXIS_ROW]->loc,
2997 _("This scale variable appears on the rows axis."));
2998 if (scales[PIVOT_AXIS_COLUMN])
2999 msg_at (SN, scales[PIVOT_AXIS_COLUMN]->loc,
3000 _("This scale variable appears on the columns axis."));
3001 if (scales[PIVOT_AXIS_LAYER])
3002 msg_at (SN, scales[PIVOT_AXIS_LAYER]->loc,
3003 _("This scale variable appears on the layer axis."));
3007 const struct ctables_axis *summaries[PIVOT_N_AXES];
3008 size_t n_summaries = 0;
3009 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
3011 summaries[a] = (scales[a]
3013 : find_categorical_summary_spec (t->axes[a]));
3017 if (n_summaries > 1)
3019 msg (SE, _("Summaries may appear only on one axis."));
3020 if (summaries[PIVOT_AXIS_ROW])
3021 msg_at (SN, summaries[PIVOT_AXIS_ROW]->loc,
3022 _("This variable on the rows axis has a summary."));
3023 if (summaries[PIVOT_AXIS_COLUMN])
3024 msg_at (SN, summaries[PIVOT_AXIS_COLUMN]->loc,
3025 _("This variable on the columns axis has a summary."));
3026 if (summaries[PIVOT_AXIS_LAYER])
3027 msg_at (SN, summaries[PIVOT_AXIS_LAYER]->loc,
3028 _("This variable on the layers axis has a summary."));
3031 for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
3032 if (n_summaries ? summaries[a] : t->axes[a])
3034 t->summary_axis = a;
3038 if (lex_token (lexer) == T_ENDCMD)
3040 if (!lex_force_match (lexer, T_SLASH))
3043 while (!lex_match_id (lexer, "TABLE") && lex_token (lexer) != T_ENDCMD)
3045 if (lex_match_id (lexer, "SLABELS"))
3047 while (lex_token (lexer) != T_SLASH)
3049 if (lex_match_id (lexer, "POSITION"))
3051 lex_match (lexer, T_EQUALS);
3052 if (lex_match_id (lexer, "COLUMN"))
3053 t->slabels_position = PIVOT_AXIS_COLUMN;
3054 else if (lex_match_id (lexer, "ROW"))
3055 t->slabels_position = PIVOT_AXIS_ROW;
3056 else if (lex_match_id (lexer, "LAYER"))
3057 t->slabels_position = PIVOT_AXIS_LAYER;
3060 lex_error_expecting (lexer, "COLUMN", "ROW", "LAYER");
3064 else if (lex_match_id (lexer, "VISIBLE"))
3066 lex_match (lexer, T_EQUALS);
3067 if (!parse_bool (lexer, &t->slabels_visible))
3072 lex_error_expecting (lexer, "POSITION", "VISIBLE");
3077 else if (lex_match_id (lexer, "CLABELS"))
3079 while (lex_token (lexer) != T_SLASH)
3081 if (lex_match_id (lexer, "AUTO"))
3082 t->row_labels = t->col_labels = CTLP_NORMAL;
3083 else if (lex_match_id (lexer, "ROWLABELS"))
3085 lex_match (lexer, T_EQUALS);
3086 if (lex_match_id (lexer, "OPPOSITE"))
3087 t->row_labels = CTLP_OPPOSITE;
3088 else if (lex_match_id (lexer, "LAYER"))
3089 t->row_labels = CTLP_LAYER;
3092 lex_error_expecting (lexer, "OPPOSITE", "LAYER");
3096 else if (lex_match_id (lexer, "COLLABELS"))
3098 lex_match (lexer, T_EQUALS);
3099 if (lex_match_id (lexer, "OPPOSITE"))
3100 t->col_labels = CTLP_OPPOSITE;
3101 else if (lex_match_id (lexer, "LAYER"))
3102 t->col_labels = CTLP_LAYER;
3105 lex_error_expecting (lexer, "OPPOSITE", "LAYER");
3111 lex_error_expecting (lexer, "AUTO", "ROWLABELS",
3117 else if (lex_match_id (lexer, "CRITERIA"))
3119 if (!lex_force_match_id (lexer, "CILEVEL"))
3121 lex_match (lexer, T_EQUALS);
3123 if (!lex_force_num_range_halfopen (lexer, "CILEVEL", 0, 100))
3125 t->cilevel = lex_number (lexer);
3128 else if (lex_match_id (lexer, "CATEGORIES"))
3130 if (!ctables_table_parse_categories (lexer, dataset_dict (ds), t))
3133 else if (lex_match_id (lexer, "TITLES"))
3138 if (lex_match_id (lexer, "CAPTION"))
3139 textp = &t->caption;
3140 else if (lex_match_id (lexer, "CORNER"))
3142 else if (lex_match_id (lexer, "TITLE"))
3146 lex_error_expecting (lexer, "CAPTION", "CORNER", "TITLE");
3149 lex_match (lexer, T_EQUALS);
3151 struct string s = DS_EMPTY_INITIALIZER;
3152 while (lex_is_string (lexer))
3154 if (!ds_is_empty (&s))
3155 ds_put_byte (&s, ' ');
3156 ds_put_substring (&s, lex_tokss (lexer));
3160 *textp = ds_steal_cstr (&s);
3162 while (lex_token (lexer) != T_SLASH
3163 && lex_token (lexer) != T_ENDCMD);
3165 else if (lex_match_id (lexer, "SIGTEST"))
3169 t->chisq = xmalloc (sizeof *t->chisq);
3170 *t->chisq = (struct ctables_chisq) {
3172 .include_mrsets = true,
3173 .all_visible = true,
3179 if (lex_match_id (lexer, "TYPE"))
3181 lex_match (lexer, T_EQUALS);
3182 if (!lex_force_match_id (lexer, "CHISQUARE"))
3185 else if (lex_match_id (lexer, "ALPHA"))
3187 lex_match (lexer, T_EQUALS);
3188 if (!lex_force_num_range_halfopen (lexer, "ALPHA", 0, 1))
3190 t->chisq->alpha = lex_number (lexer);
3193 else if (lex_match_id (lexer, "INCLUDEMRSETS"))
3195 lex_match (lexer, T_EQUALS);
3196 if (parse_bool (lexer, &t->chisq->include_mrsets))
3199 else if (lex_match_id (lexer, "CATEGORIES"))
3201 lex_match (lexer, T_EQUALS);
3202 if (lex_match_id (lexer, "ALLVISIBLE"))
3203 t->chisq->all_visible = true;
3204 else if (lex_match_id (lexer, "SUBTOTALS"))
3205 t->chisq->all_visible = false;
3208 lex_error_expecting (lexer,
3209 "ALLVISIBLE", "SUBTOTALS");
3215 lex_error_expecting (lexer, "TYPE", "ALPHA",
3216 "INCLUDEMRSETS", "CATEGORIES");
3220 while (lex_token (lexer) != T_SLASH
3221 && lex_token (lexer) != T_ENDCMD);
3223 else if (lex_match_id (lexer, "COMPARETEST"))
3227 t->pairwise = xmalloc (sizeof *t->pairwise);
3228 *t->pairwise = (struct ctables_pairwise) {
3230 .alpha = { .05, .05 },
3231 .adjust = BONFERRONI,
3232 .include_mrsets = true,
3233 .meansvariance_allcats = true,
3234 .all_visible = true,
3243 if (lex_match_id (lexer, "TYPE"))
3245 lex_match (lexer, T_EQUALS);
3246 if (lex_match_id (lexer, "PROP"))
3247 t->pairwise->type = PROP;
3248 else if (lex_match_id (lexer, "MEAN"))
3249 t->pairwise->type = MEAN;
3252 lex_error_expecting (lexer, "PROP", "MEAN");
3256 else if (lex_match_id (lexer, "ALPHA"))
3258 lex_match (lexer, T_EQUALS);
3260 if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
3262 double a0 = lex_number (lexer);
3265 lex_match (lexer, T_COMMA);
3266 if (lex_is_number (lexer))
3268 if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
3270 double a1 = lex_number (lexer);
3273 t->pairwise->alpha[0] = MIN (a0, a1);
3274 t->pairwise->alpha[1] = MAX (a0, a1);
3277 t->pairwise->alpha[0] = t->pairwise->alpha[1] = a0;
3279 else if (lex_match_id (lexer, "ADJUST"))
3281 lex_match (lexer, T_EQUALS);
3282 if (lex_match_id (lexer, "BONFERRONI"))
3283 t->pairwise->adjust = BONFERRONI;
3284 else if (lex_match_id (lexer, "BH"))
3285 t->pairwise->adjust = BH;
3286 else if (lex_match_id (lexer, "NONE"))
3287 t->pairwise->adjust = 0;
3290 lex_error_expecting (lexer, "BONFERRONI", "BH",
3295 else if (lex_match_id (lexer, "INCLUDEMRSETS"))
3297 lex_match (lexer, T_EQUALS);
3298 if (!parse_bool (lexer, &t->pairwise->include_mrsets))
3301 else if (lex_match_id (lexer, "MEANSVARIANCE"))
3303 lex_match (lexer, T_EQUALS);
3304 if (lex_match_id (lexer, "ALLCATS"))
3305 t->pairwise->meansvariance_allcats = true;
3306 else if (lex_match_id (lexer, "TESTEDCATS"))
3307 t->pairwise->meansvariance_allcats = false;
3310 lex_error_expecting (lexer, "ALLCATS", "TESTEDCATS");
3314 else if (lex_match_id (lexer, "CATEGORIES"))
3316 lex_match (lexer, T_EQUALS);
3317 if (lex_match_id (lexer, "ALLVISIBLE"))
3318 t->pairwise->all_visible = true;
3319 else if (lex_match_id (lexer, "SUBTOTALS"))
3320 t->pairwise->all_visible = false;
3323 lex_error_expecting (lexer, "ALLVISIBLE",
3328 else if (lex_match_id (lexer, "MERGE"))
3330 lex_match (lexer, T_EQUALS);
3331 if (!parse_bool (lexer, &t->pairwise->merge))
3334 else if (lex_match_id (lexer, "STYLE"))
3336 lex_match (lexer, T_EQUALS);
3337 if (lex_match_id (lexer, "APA"))
3338 t->pairwise->apa_style = true;
3339 else if (lex_match_id (lexer, "SIMPLE"))
3340 t->pairwise->apa_style = false;
3343 lex_error_expecting (lexer, "APA", "SIMPLE");
3347 else if (lex_match_id (lexer, "SHOWSIG"))
3349 lex_match (lexer, T_EQUALS);
3350 if (!parse_bool (lexer, &t->pairwise->show_sig))
3355 lex_error_expecting (lexer, "TYPE", "ALPHA", "ADJUST",
3356 "INCLUDEMRSETS", "MEANSVARIANCE",
3357 "CATEGORIES", "MERGE", "STYLE",
3362 while (lex_token (lexer) != T_SLASH
3363 && lex_token (lexer) != T_ENDCMD);
3367 lex_error_expecting (lexer, "TABLE", "SLABELS", "CLABELS",
3368 "CRITERIA", "CATEGORIES", "TITLES",
3369 "SIGTEST", "COMPARETEST");
3373 if (!lex_match (lexer, T_SLASH))
3377 if (t->row_labels != CTLP_NORMAL && t->col_labels != CTLP_NORMAL)
3379 msg (SE, _("ROWLABELS and COLLABELS may not both be specified."));
3384 while (lex_token (lexer) != T_ENDCMD);
3386 bool ok = ctables_execute (ds, ct);
3387 ctables_destroy (ct);
3388 return ok ? CMD_SUCCESS : CMD_FAILURE;
3391 ctables_destroy (ct);