#include <config.h>
+#include <math.h>
+
#include "data/casereader.h"
#include "data/dataset.h"
#include "data/dictionary.h"
#include "language/lexer/format-parser.h"
#include "language/lexer/lexer.h"
#include "language/lexer/variable-parser.h"
-#include "language/stats/freq.h"
#include "libpspp/array.h"
#include "libpspp/assertion.h"
+#include "libpspp/hash-functions.h"
#include "libpspp/hmap.h"
#include "libpspp/message.h"
#include "libpspp/string-array.h"
+#include "math/moments.h"
#include "output/pivot-table.h"
#include "gl/minmax.h"
enum ctables_vlabel
{
- CTVL_DEFAULT = SETTINGS_VALUE_SHOW_DEFAULT,
+ CTVL_NONE = SETTINGS_VALUE_SHOW_DEFAULT,
CTVL_NAME = SETTINGS_VALUE_SHOW_VALUE,
CTVL_LABEL = SETTINGS_VALUE_SHOW_LABEL,
CTVL_BOTH = SETTINGS_VALUE_SHOW_BOTH,
- CTVL_NONE,
};
-static void UNUSED
-ctables_vlabel_unique (enum ctables_vlabel vlabel)
-{
- /* This ensures that all of the values are unique. */
- switch (vlabel)
- {
- case CTVL_DEFAULT:
- case CTVL_NAME:
- case CTVL_LABEL:
- case CTVL_BOTH:
- case CTVL_NONE:
- abort ();
- }
-}
/* XXX:
- unweighted summaries (U*)
#undef S
};
+enum ctables_domain_type
+ {
+ /* Within a section, where stacked variables divide one section from
+ another. */
+ CTDT_TABLE, /* All layers of a whole section. */
+ CTDT_LAYER, /* One layer within a section. */
+ CTDT_LAYERROW, /* Row in one layer within a section. */
+ CTDT_LAYERCOL, /* Column in one layer within a section. */
+
+ /* Within a subtable, where a subtable pairs an innermost row variable with
+ an innermost column variable within a single layer. */
+ CTDT_SUBTABLE, /* Whole subtable. */
+ CTDT_ROW, /* Row within a subtable. */
+ CTDT_COL, /* Column within a subtable. */
+#define N_CTDTS 7
+ };
+
+struct ctables_domain
+ {
+ struct hmap_node node;
+
+ const struct ctables_cell *example;
+
+ double valid;
+ double missing;
+ };
+
+struct ctables_cell
+ {
+ /* In struct ctables's 'cells' hmap. Indexed by all the values in all the
+ axes (except the scalar variable, if any). */
+ struct hmap_node node;
+
+ /* The domains that contains this cell. */
+ struct ctables_domain *domains[N_CTDTS];
+
+ struct
+ {
+ size_t vaa_idx;
+ struct ctables_cell_value
+ {
+ const struct ctables_category *category;
+ union value value;
+ }
+ *cvs;
+ int leaf;
+ }
+ axes[PIVOT_N_AXES];
+
+ union ctables_summary *summaries;
+ };
+
struct ctables
{
struct pivot_table_look *look;
struct variable *base_weight; /* WEIGHT. */
int hide_threshold; /* HIDESMALLCOUNTS. */
- struct ctables_table *tables;
+ struct ctables_table **tables;
size_t n_tables;
};
CTLP_LAYER,
};
+struct var_array
+ {
+ struct variable **vars;
+ size_t n;
+ size_t scale_idx;
+ size_t *domains[N_CTDTS];
+ size_t n_domains[N_CTDTS];
+
+ struct ctables_summary_spec *summaries;
+ size_t n_summaries;
+ struct variable *summary_var;
+ };
+
+struct var_array2
+ {
+ struct var_array *vas;
+ size_t n;
+ };
+
struct ctables_table
{
struct ctables_axis *axes[PIVOT_N_AXES];
+ struct var_array2 vaas[PIVOT_N_AXES];
+ enum pivot_axis_type summary_axis;
+ struct hmap cells;
+ struct hmap domains[N_CTDTS];
enum pivot_axis_type slabels_position;
bool slabels_visible;
struct ctables_chisq *chisq;
struct ctables_pairwise *pairwise;
-
- struct ctables_freqtab **fts;
- size_t n_fts;
};
struct ctables_var
struct ctables_categories
{
size_t n_refs;
-
- /* Explicit categories. */
- struct ctables_cat_value *values;
- size_t n_values;
-
- /* Implicit categories. */
- bool sort_ascending;
- bool include_missing;
- enum { CTCS_VALUE, CTCS_LABEL, CTCS_FUNCTION } key;
- enum ctables_summary_function sort_func;
- struct variable *sort_func_var;
- double percentile;
-
- /* Totals. */
- bool show_totals;
- bool totals_before;
- char *total_label;
-
- /* Empty categories. */
+ struct ctables_category *cats;
+ size_t n_cats;
bool show_empty;
};
-struct ctables_cat_value
+struct ctables_category
{
- enum ctables_cat_value_type
+ enum ctables_category_type
{
- CCVT_NUMBER,
- CCVT_STRING,
- CCVT_RANGE,
- CCVT_MISSING,
- CCVT_OTHERNM,
- CCVT_SUBTOTAL,
- CCVT_HSUBTOTAL,
+ CCT_NUMBER,
+ CCT_STRING,
+ CCT_RANGE,
+ CCT_MISSING,
+ CCT_OTHERNM,
+
+ CCT_SUBTOTAL,
+ CCT_HSUBTOTAL,
+ CCT_TOTAL,
+
+ CCT_VALUE,
+ CCT_LABEL,
+ CCT_FUNCTION,
}
type;
union
{
- double number; /* CCVT_NUMBER. */
- char *string; /* CCVT_STRING. */
- double range[2]; /* CCVT_RANGE. */
- char *subtotal_label; /* CCVT_SUBTOTAL, CCVT_HSUBTOTAL. */
+ double number; /* CCT_NUMBER. */
+ char *string; /* CCT_STRING. */
+ double range[2]; /* CCT_RANGE. */
+ char *total_label; /* CCT_SUBTOTAL, CCT_HSUBTOTAL, CCT_TOTAL. */
+
+ /* CCT_VALUE, CCT_LABEL, CCT_FUNCTION. */
+ struct
+ {
+ bool include_missing;
+ bool sort_ascending;
+
+ /* CCT_FUNCTION. */
+ enum ctables_summary_function sort_function;
+ struct variable *sort_var;
+ double percentile;
+ };
};
};
+static const struct ctables_category *ctables_categories_match (
+ const struct ctables_categories *, const union value *,
+ const struct variable *);
+
static void
-ctables_cat_value_uninit (struct ctables_cat_value *cv)
+ctables_category_uninit (struct ctables_category *cat)
{
- if (!cv)
+ if (!cat)
return;
- switch (cv->type)
+ switch (cat->type)
{
- case CCVT_NUMBER:
- case CCVT_RANGE:
- case CCVT_MISSING:
- case CCVT_OTHERNM:
+ case CCT_NUMBER:
+ case CCT_RANGE:
+ case CCT_MISSING:
+ case CCT_OTHERNM:
+ break;
+
+ case CCT_STRING:
+ free (cat->string);
break;
- case CCVT_STRING:
- free (cv->string);
+ case CCT_SUBTOTAL:
+ case CCT_HSUBTOTAL:
+ case CCT_TOTAL:
+ free (cat->total_label);
break;
- case CCVT_SUBTOTAL:
- case CCVT_HSUBTOTAL:
- free (cv->subtotal_label);
+ case CCT_VALUE:
+ case CCT_LABEL:
+ case CCT_FUNCTION:
+ break;
}
}
if (--c->n_refs)
return;
- for (size_t i = 0; i < c->n_values; i++)
- ctables_cat_value_uninit (&c->values[i]);
- free (c->values);
- free (c->total_label);
+ for (size_t i = 0; i < c->n_cats; i++)
+ ctables_category_uninit (&c->cats[i]);
+ free (c->cats);
free (c);
}
{
struct ctables_var var;
bool scale;
- struct ctables_summary *summaries;
+ struct ctables_summary_spec *summaries;
size_t n_summaries;
size_t allocated_summaries;
};
CTFA_MRSETS, /* Only multiple-response sets */
};
-struct ctables_summary
+struct ctables_summary_spec
{
enum ctables_summary_function function;
double percentile; /* CTSF_PTILE only. */
};
static void
-ctables_summary_uninit (struct ctables_summary *s)
+ctables_summary_spec_uninit (struct ctables_summary_spec *s)
{
if (s)
free (s->label);
{
case CTAO_VAR:
for (size_t i = 0; i < axis->n_summaries; i++)
- ctables_summary_uninit (&axis->summaries[i]);
+ ctables_summary_spec_uninit (&axis->summaries[i]);
free (axis->summaries);
break;
}
}
+static char *
+ctables_summary_default_label (enum ctables_summary_function function,
+ double percentile)
+{
+ static const char *default_labels[] = {
+#define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = LABEL,
+ SUMMARIES
+#undef S
+ };
+
+ return (function == CTSF_PTILE
+ ? xasprintf (_("Percentile %.2f"), percentile)
+ : xstrdup (gettext (default_labels[function])));
+}
+
static const char *
ctables_summary_function_name (enum ctables_summary_function function)
{
}
static bool
-add_summary (struct ctables_axis *axis,
- enum ctables_summary_function function, double percentile,
- const char *label, const struct fmt_spec *format,
- const struct msg_location *loc)
+add_summary_spec (struct ctables_axis *axis,
+ enum ctables_summary_function function, double percentile,
+ const char *label, const struct fmt_spec *format,
+ const struct msg_location *loc)
{
if (axis->op == CTAO_VAR)
{
break;
}
- struct ctables_summary *dst = &axis->summaries[axis->n_summaries++];
- *dst = (struct ctables_summary) {
+ struct ctables_summary_spec *dst = &axis->summaries[axis->n_summaries++];
+ *dst = (struct ctables_summary_spec) {
.function = function,
.percentile = percentile,
.label = xstrdup (label),
else
{
for (size_t i = 0; i < 2; i++)
- if (!add_summary (axis->subs[i], function, percentile, label, format,
- loc))
+ if (!add_summary_spec (axis->subs[i], function, percentile, label,
+ format, loc))
return false;
return true;
}
label = ss_xstrdup (lex_tokss (ctx->lexer));
lex_get (ctx->lexer);
}
- else if (function == CTSF_PTILE)
- label = xasprintf (_("Percentile %.2f"), percentile);
else
- {
- static const char *default_labels[] = {
-#define S(ENUM, NAME, LABEL, FORMAT, AVAILABILITY) [ENUM] = LABEL,
- SUMMARIES
-#undef S
- };
- label = xstrdup (gettext (default_labels[function]));
- }
+ label = ctables_summary_default_label (function, percentile);
/* Parse format. */
struct fmt_spec format;
struct msg_location *loc = lex_ofs_location (ctx->lexer, start_ofs,
lex_ofs (ctx->lexer) - 1);
- add_summary (sub, function, percentile, label, formatp, loc);
+ add_summary_spec (sub, function, percentile, label, formatp, loc);
free (label);
msg_location_destroy (loc);
}
static const struct ctables_axis *
-find_categorical_summary (const struct ctables_axis *axis)
+find_categorical_summary_spec (const struct ctables_axis *axis)
{
if (!axis)
return NULL;
for (size_t i = 0; i < 2; i++)
{
const struct ctables_axis *sum
- = find_categorical_summary (axis->subs[i]);
+ = find_categorical_summary_spec (axis->subs[i]);
if (sum)
return sum;
}
return NULL;
}
- const struct ctables_axis *outer_sum = find_categorical_summary (lhs);
+ const struct ctables_axis *outer_sum = find_categorical_summary_spec (lhs);
if (outer_sum)
{
msg_at (SE, nest->loc,
}
static void
-ctables_table_uninit (struct ctables_table *t)
+ctables_table_destroy (struct ctables_table *t)
{
if (!t)
return;
free (t->title);
ctables_chisq_destroy (t->chisq);
ctables_pairwise_destroy (t->pairwise);
+ free (t);
}
static void
free (ct->missing);
free (ct->vlabels);
for (size_t i = 0; i < ct->n_tables; i++)
- ctables_table_uninit (&ct->tables[i]);
+ ctables_table_destroy (ct->tables[i]);
free (ct->tables);
free (ct);
}
-static struct ctables_cat_value
-ccvt_range (double low, double high)
+static struct ctables_category
+cct_range (double low, double high)
{
- return (struct ctables_cat_value) {
- .type = CCVT_RANGE,
+ return (struct ctables_category) {
+ .type = CCT_RANGE,
.range = { low, high }
};
}
}
free (vars);
+ size_t allocated_cats = 0;
if (lex_match (lexer, T_LBRACK))
{
- size_t allocated_values = 0;
do
{
- if (c->n_values >= allocated_values)
- c->values = x2nrealloc (c->values, &allocated_values,
- sizeof *c->values);
+ if (c->n_cats >= allocated_cats)
+ c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
- struct ctables_cat_value *v = &c->values[c->n_values];
+ struct ctables_category *cat = &c->cats[c->n_cats];
if (lex_match_id (lexer, "OTHERNM"))
- v->type = CCVT_OTHERNM;
+ cat->type = CCT_OTHERNM;
else if (lex_match_id (lexer, "MISSING"))
- v->type = CCVT_MISSING;
+ cat->type = CCT_MISSING;
else if (lex_match_id (lexer, "SUBTOTAL"))
- *v = (struct ctables_cat_value)
- { .type = CCVT_SUBTOTAL, .subtotal_label = NULL };
+ *cat = (struct ctables_category)
+ { .type = CCT_SUBTOTAL, .total_label = NULL };
else if (lex_match_id (lexer, "HSUBTOTAL"))
- *v = (struct ctables_cat_value)
- { .type = CCVT_HSUBTOTAL, .subtotal_label = NULL };
+ *cat = (struct ctables_category)
+ { .type = CCT_HSUBTOTAL, .total_label = NULL };
else if (lex_match_id (lexer, "LO"))
{
if (!lex_force_match_id (lexer, "THRU") || lex_force_num (lexer))
return false;
- *v = ccvt_range (-DBL_MAX, lex_number (lexer));
+ *cat = cct_range (-DBL_MAX, lex_number (lexer));
lex_get (lexer);
}
else if (lex_is_number (lexer))
lex_get (lexer);
if (lex_match_id (lexer, "THRU"))
{
- v->type = CCVT_RANGE;
- v->range[0] = number;
+ cat->type = CCT_RANGE;
+ cat->range[0] = number;
if (lex_match_id (lexer, "HI"))
- *v = ccvt_range (number, DBL_MAX);
+ *cat = cct_range (number, DBL_MAX);
else
{
if (!lex_force_num (lexer))
return false;
- *v = ccvt_range (number, lex_number (lexer));
+ *cat = cct_range (number, lex_number (lexer));
lex_get (lexer);
}
}
else
- *v = (struct ctables_cat_value) {
- .type = CCVT_NUMBER,
+ *cat = (struct ctables_category) {
+ .type = CCT_NUMBER,
.number = number
};
}
else if (lex_is_string (lexer))
{
- *v = (struct ctables_cat_value) {
- .type = CCVT_STRING,
+ *cat = (struct ctables_category) {
+ .type = CCT_STRING,
.string = ss_xstrdup (lex_tokss (lexer)),
};
lex_get (lexer);
return false;
}
- if ((v->type == CCVT_SUBTOTAL || v->type == CCVT_HSUBTOTAL)
+ if ((cat->type == CCT_SUBTOTAL || cat->type == CCT_HSUBTOTAL)
&& lex_match (lexer, T_EQUALS))
{
if (!lex_force_string (lexer))
return false;
- v->subtotal_label = ss_xstrdup (lex_tokss (lexer));
+ cat->total_label = ss_xstrdup (lex_tokss (lexer));
lex_get (lexer);
}
- c->n_values++;
+ c->n_cats++;
lex_match (lexer, T_COMMA);
}
while (!lex_match (lexer, T_RBRACK));
}
+ struct ctables_category cat = {
+ .type = CCT_VALUE,
+ .include_missing = false,
+ .sort_ascending = true,
+ };
+ bool show_totals = false;
+ char *total_label = NULL;
+ bool totals_before = false;
while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
{
- if (!c->n_values && lex_match_id (lexer, "ORDER"))
+ if (!c->n_cats && lex_match_id (lexer, "ORDER"))
{
lex_match (lexer, T_EQUALS);
if (lex_match_id (lexer, "A"))
- c->sort_ascending = true;
+ cat.sort_ascending = true;
else if (lex_match_id (lexer, "D"))
- c->sort_ascending = false;
+ cat.sort_ascending = false;
else
{
lex_error_expecting (lexer, "A", "D");
return false;
}
}
- else if (!c->n_values && lex_match_id (lexer, "KEY"))
+ else if (!c->n_cats && lex_match_id (lexer, "KEY"))
{
lex_match (lexer, T_EQUALS);
if (lex_match_id (lexer, "VALUE"))
- c->key = CTCS_VALUE;
+ cat.type = CCT_VALUE;
else if (lex_match_id (lexer, "LABEL"))
- c->key = CTCS_LABEL;
+ cat.type = CCT_LABEL;
else
{
- c->key = CTCS_FUNCTION;
- if (!parse_ctables_summary_function (lexer, &c->sort_func))
+ cat.type = CCT_FUNCTION;
+ if (!parse_ctables_summary_function (lexer, &cat.sort_function))
return false;
if (lex_match (lexer, T_LPAREN))
{
- c->sort_func_var = parse_variable (lexer, dict);
- if (!c->sort_func_var)
+ cat.sort_var = parse_variable (lexer, dict);
+ if (!cat.sort_var)
return false;
- if (c->sort_func == CTSF_PTILE)
+ if (cat.sort_function == CTSF_PTILE)
{
lex_match (lexer, T_COMMA);
if (!lex_force_num_range_closed (lexer, "PTILE", 0, 100))
return false;
- c->percentile = lex_number (lexer);
+ cat.percentile = lex_number (lexer);
lex_get (lexer);
}
if (!lex_force_match (lexer, T_RPAREN))
return false;
}
- else if (ctables_function_availability (c->sort_func)
+ else if (ctables_function_availability (cat.sort_function)
== CTFA_SCALE)
{
bool UNUSED b = lex_force_match (lexer, T_LPAREN);
}
}
}
- else if (!c->n_values && lex_match_id (lexer, "MISSING"))
+ else if (!c->n_cats && lex_match_id (lexer, "MISSING"))
{
lex_match (lexer, T_EQUALS);
if (lex_match_id (lexer, "INCLUDE"))
- c->include_missing = true;
+ cat.include_missing = true;
else if (lex_match_id (lexer, "EXCLUDE"))
- c->include_missing = false;
+ cat.include_missing = false;
else
{
lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
else if (lex_match_id (lexer, "TOTAL"))
{
lex_match (lexer, T_EQUALS);
- if (!parse_bool (lexer, &c->show_totals))
+ if (!parse_bool (lexer, &show_totals))
return false;
}
else if (lex_match_id (lexer, "LABEL"))
lex_match (lexer, T_EQUALS);
if (!lex_force_string (lexer))
return false;
- free (c->total_label);
- c->total_label = ss_xstrdup (lex_tokss (lexer));
+ free (total_label);
+ total_label = ss_xstrdup (lex_tokss (lexer));
lex_get (lexer);
}
else if (lex_match_id (lexer, "POSITION"))
{
lex_match (lexer, T_EQUALS);
if (lex_match_id (lexer, "BEFORE"))
- c->totals_before = true;
+ totals_before = true;
else if (lex_match_id (lexer, "AFTER"))
- c->totals_before = false;
+ totals_before = false;
else
{
lex_error_expecting (lexer, "BEFORE", "AFTER");
}
else
{
- if (!c->n_values)
+ if (!c->n_cats)
lex_error_expecting (lexer, "ORDER", "KEY", "MISSING",
"TOTAL", "LABEL", "POSITION", "EMPTY");
else
return false;
}
}
+
+ if (!c->n_cats)
+ {
+ if (c->n_cats >= allocated_cats)
+ c->cats = x2nrealloc (c->cats, &allocated_cats,
+ sizeof *c->cats);
+ c->cats[c->n_cats++] = cat;
+ }
+
+ if (show_totals)
+ {
+ if (c->n_cats >= allocated_cats)
+ c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
+
+ struct ctables_category *totals;
+ if (totals_before)
+ {
+ insert_element (c->cats, c->n_cats, sizeof *c->cats, 0);
+ totals = &c->cats[0];
+ }
+ else
+ totals = &c->cats[c->n_cats];
+ c->n_cats++;
+
+ *totals = (struct ctables_category) {
+ .type = CCT_TOTAL,
+ .total_label = total_label ? total_label : xstrdup (_("Total")),
+ };
+ }
+
return true;
}
-struct var_array
- {
- struct variable **vars;
- size_t n;
- };
-
static void
var_array_uninit (struct var_array *va)
{
free (va->vars);
}
-struct var_array2
- {
- struct var_array *vas;
- size_t n;
- };
-
static void
var_array2_uninit (struct var_array2 *vaa)
{
for (size_t i = 0; i < va0.n; i++)
for (size_t j = 0; j < va1.n; j++)
{
- size_t allocate = va0.vas[i].n + va1.vas[j].n;
+ const struct var_array *a = &va0.vas[i];
+ const struct var_array *b = &va1.vas[j];
+
+ size_t allocate = a->n + b->n;
struct variable **vars = xnmalloc (allocate, sizeof *vars);
+ enum pivot_axis_type *axes = xnmalloc (allocate, sizeof *axes);
size_t n = 0;
- for (size_t k = 0; k < va0.vas[i].n; k++)
- vars[n++] = va0.vas[i].vars[k];
- for (size_t k = 0; k < va1.vas[j].n; k++)
- vars[n++] = va1.vas[j].vars[k];
+ for (size_t k = 0; k < a->n; k++)
+ vars[n++] = a->vars[k];
+ for (size_t k = 0; k < b->n; k++)
+ vars[n++] = b->vars[k];
assert (n == allocate);
- vaa.vas[vaa.n++] = (struct var_array) { .vars = vars, n = n };
+ const struct var_array *summary_src;
+ if (!a->summary_var)
+ summary_src = b;
+ else if (!b->summary_var)
+ summary_src = a;
+ else
+ NOT_REACHED ();
+ vaa.vas[vaa.n++] = (struct var_array) {
+ .vars = vars,
+ .scale_idx = (a->scale_idx != SIZE_MAX ? a->scale_idx
+ : b->scale_idx != SIZE_MAX ? a->n + b->scale_idx
+ : SIZE_MAX),
+ .n = n,
+ .summaries = summary_src->summaries,
+ .n_summaries = summary_src->n_summaries,
+ .summary_var = summary_src->summary_var,
+ };
}
var_array2_uninit (&va0);
var_array2_uninit (&va1);
}
static struct var_array2
-enumerate_fts (const struct ctables_axis *a)
+enumerate_fts (enum pivot_axis_type axis_type, const struct ctables_axis *a)
{
if (!a)
return (struct var_array2) { .n = 0 };
{
case CTAO_VAR:
assert (!a->var.is_mrset);
- struct variable **v = xmalloc (sizeof *v);
- *v = a->var.var;
+
+ struct variable **vars = xmalloc (sizeof *vars);
+ *vars = a->var.var;
+
struct var_array *va = xmalloc (sizeof *va);
- *va = (struct var_array) { .vars = v, .n = 1 };
+ *va = (struct var_array) {
+ .vars = vars,
+ .n = 1,
+ .scale_idx = a->scale ? 0 : SIZE_MAX,
+ };
+ if (a->n_summaries || a->scale)
+ {
+ va->summaries = a->summaries;
+ va->n_summaries = a->n_summaries;
+ va->summary_var = a->var.var;
+ }
return (struct var_array2) { .vas = va, .n = 1 };
case CTAO_STACK:
- return stack_fts (enumerate_fts (a->subs[0]),
- enumerate_fts (a->subs[1]));
+ return stack_fts (enumerate_fts (axis_type, a->subs[0]),
+ enumerate_fts (axis_type, a->subs[1]));
case CTAO_NEST:
- return nest_fts (enumerate_fts (a->subs[0]),
- enumerate_fts (a->subs[1]));
+ return nest_fts (enumerate_fts (axis_type, a->subs[0]),
+ enumerate_fts (axis_type, a->subs[1]));
}
NOT_REACHED ();
}
-struct ctables_freqtab
+union ctables_summary
{
- struct var_array vars;
- struct hmap data; /* Contains "struct freq"s. */
- struct freq **sorted;
+ /* COUNT, VALIDN, TOTALN. */
+ struct
+ {
+ double valid;
+ double missing;
+ };
+
+ /* MINIMUM, MAXIMUM, RANGE. */
+ struct
+ {
+ double min;
+ double max;
+ };
+
+ /* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
+ struct moments1 *moments;
+
+ /* XXX percentiles, median, mode, multiple response */
};
-static int
-compare_freq_3way (const void *a_, const void *b_, const void *vars_)
+static void
+ctables_summary_init (union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
{
- const struct var_array *vars = vars_;
- struct freq *const *a = a_;
- struct freq *const *b = b_;
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ s->missing = s->valid = 0;
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ s->min = s->max = SYSMIS;
+ break;
- for (size_t i = 0; i < vars->n; i++)
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ s->moments = moments1_create (MOMENT_VARIANCE);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static void UNUSED
+ctables_summary_uninit (union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
+{
+ switch (ss->function)
{
- int cmp = value_compare_3way (&(*a)->values[i], &(*b)->values[i],
- var_get_width (vars->vars[i]));
- if (cmp)
- return cmp;
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ break;
+
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ moments1_destroy (s->moments);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static void
+ctables_summary_add (union ctables_summary *s,
+ const struct ctables_summary_spec *ss,
+ const struct variable *var, const union value *value,
+ double weight)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_COLPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ if (var_is_value_missing (var, value))
+ s->missing += weight;
+ else
+ s->valid += weight;
+ break;
+
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ if (!var_is_value_missing (var, value))
+ {
+ assert (!var_is_alpha (var)); /* XXX? */
+ if (s->min == SYSMIS || value->f < s->min)
+ s->min = value->f;
+ if (s->max == SYSMIS || value->f > s->max)
+ s->max = value->f;
+ }
+ break;
+
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ moments1_add (s->moments, value->f, weight);
+ break;
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
+ }
+}
+
+static double
+ctables_summary_value (const struct ctables_cell *f,
+ union ctables_summary *s,
+ const struct ctables_summary_spec *ss)
+{
+ switch (ss->function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ return s->valid;
+
+ case CTSF_SUBTABLEPCT_COUNT:
+ return f->domains[CTDT_SUBTABLE]->valid ? s->valid / f->domains[CTDT_SUBTABLE]->valid * 100 : SYSMIS;
+
+ case CTSF_ROWPCT_COUNT:
+ return f->domains[CTDT_ROW]->valid ? s->valid / f->domains[CTDT_ROW]->valid * 100 : SYSMIS;
+
+ case CTSF_COLPCT_COUNT:
+ return f->domains[CTDT_COL]->valid ? s->valid / f->domains[CTDT_COL]->valid * 100 : SYSMIS;
+
+ case CTSF_TABLEPCT_COUNT:
+ return f->domains[CTDT_TABLE]->valid ? s->valid / f->domains[CTDT_TABLE]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERPCT_COUNT:
+ return f->domains[CTDT_LAYER]->valid ? s->valid / f->domains[CTDT_LAYER]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERROWPCT_COUNT:
+ return f->domains[CTDT_LAYERROW]->valid ? s->valid / f->domains[CTDT_LAYERROW]->valid * 100 : SYSMIS;
+
+ case CTSF_LAYERCOLPCT_COUNT:
+ return f->domains[CTDT_LAYERCOL]->valid ? s->valid / f->domains[CTDT_LAYERCOL]->valid * 100 : SYSMIS;
+
+ case CTSF_ROWPCT_VALIDN:
+ case CTSF_COLPCT_VALIDN:
+ case CTSF_TABLEPCT_VALIDN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ case CTSF_LAYERPCT_VALIDN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ NOT_REACHED ();
+
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ return s->valid + s->missing;
+
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ return s->valid;
+
+ case CTSF_MAXIMUM:
+ return s->max;
+
+ case CTSF_MINIMUM:
+ return s->min;
+
+ case CTSF_RANGE:
+ return s->max != SYSMIS && s->min != SYSMIS ? s->max - s->min : SYSMIS;
+
+ case CTSF_MEAN:
+ {
+ double mean;
+ moments1_calculate (s->moments, NULL, &mean, NULL, NULL, NULL);
+ return mean;
+ }
+
+ case CTSF_SEMEAN:
+ {
+ double weight, variance;
+ moments1_calculate (s->moments, &weight, NULL, &variance, NULL, NULL);
+ return calc_semean (variance, weight);
+ }
+
+ case CTSF_STDDEV:
+ {
+ double variance;
+ moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+ return variance != SYSMIS ? sqrt (variance) : SYSMIS;
+ }
+
+ case CTSF_SUM:
+ {
+ double weight, mean;
+ moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
+ return weight != SYSMIS && mean != SYSMIS ? weight * mean : SYSMIS;
+ }
+
+ case CTSF_VARIANCE:
+ {
+ double variance;
+ moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+ return variance;
+ }
+
+ case CTSF_ROWPCT_SUM:
+ case CTSF_COLPCT_SUM:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERCOLPCT_SUM:
+ NOT_REACHED ();
+
+ case CTSF_MEDIAN:
+ case CTSF_MISSING:
+ case CTSF_MODE:
+ case CTSF_PTILE:
+ NOT_REACHED ();
+
+ case CTSF_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ NOT_REACHED ();
}
-
+
+ NOT_REACHED ();
+}
+
+struct ctables_cell_sort_aux
+ {
+ const struct ctables_table *t;
+ enum pivot_axis_type a;
+ };
+
+static int
+ctables_cell_compare_3way (const void *a_, const void *b_, const void *aux_)
+{
+ const struct ctables_cell_sort_aux *aux = aux_;
+ struct ctables_cell *const *ap = a_;
+ struct ctables_cell *const *bp = b_;
+ const struct ctables_cell *a = *ap;
+ const struct ctables_cell *b = *bp;
+
+ size_t a_idx = a->axes[aux->a].vaa_idx;
+ size_t b_idx = b->axes[aux->a].vaa_idx;
+ if (a_idx != b_idx)
+ return a_idx < b_idx ? -1 : 1;
+
+ const struct var_array *va = &aux->t->vaas[aux->a].vas[a_idx];
+ for (size_t i = 0; i < va->n; i++)
+ if (i != va->scale_idx)
+ {
+ const struct variable *var = va->vars[i];
+ const struct ctables_cell_value *a_cv = &a->axes[aux->a].cvs[i];
+ const struct ctables_cell_value *b_cv = &b->axes[aux->a].cvs[i];
+ if (a_cv->category != b_cv->category)
+ return a_cv->category > b_cv->category ? 1 : -1;
+
+ const union value *a_val = &a_cv->value;
+ const union value *b_val = &b_cv->value;
+ switch (a_cv->category->type)
+ {
+ case CCT_NUMBER:
+ case CCT_STRING:
+ case CCT_SUBTOTAL:
+ case CCT_HSUBTOTAL:
+ case CCT_TOTAL:
+ /* Must be equal. */
+ continue;
+
+ case CCT_RANGE:
+ case CCT_MISSING:
+ case CCT_OTHERNM:
+ {
+ int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+ if (cmp)
+ return cmp;
+ }
+ break;
+
+ case CCT_VALUE:
+ {
+ int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+ if (cmp)
+ return a_cv->category->sort_ascending ? cmp : -cmp;
+ }
+ break;
+
+ case CCT_LABEL:
+ {
+ const char *a_label = var_lookup_value_label (var, a_val);
+ const char *b_label = var_lookup_value_label (var, b_val);
+ int cmp = (a_label
+ ? (b_label ? strcmp (a_label, b_label) : 1)
+ : (b_label ? -1 : value_compare_3way (
+ a_val, b_val, var_get_width (var))));
+ if (cmp)
+ return a_cv->category->sort_ascending ? cmp : -cmp;
+ }
+ break;
+
+ case CCT_FUNCTION:
+ NOT_REACHED ();
+ }
+ }
return 0;
}
-static bool
-ctables_execute (struct dataset *ds, struct ctables *ct)
+/* Algorithm:
+
+ For each row:
+ For each ctables_table:
+ For each combination of row vars:
+ For each combination of column vars:
+ For each combination of layer vars:
+ Add entry
+ Make a table of row values:
+ Sort entries by row values
+ Assign a 0-based index to each actual value
+ Construct a dimension
+ Make a table of column values
+ Make a table of layer values
+ For each entry:
+ Fill the table entry using the indexes from before.
+ */
+
+static struct ctables_domain *
+ctables_domain_insert (struct ctables_table *t, struct ctables_cell *f,
+ enum ctables_domain_type domain)
{
- for (size_t i = 0; i < ct->n_tables; i++)
+ size_t hash = 0;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
- size_t allocated_fts = 0;
+ size_t idx = f->axes[a].vaa_idx;
+ const struct var_array *va = &t->vaas[a].vas[idx];
+ hash = hash_int (idx, hash);
+ for (size_t i = 0; i < va->n_domains[domain]; i++)
+ {
+ size_t v_idx = va->domains[domain][i];
+ hash = value_hash (&f->axes[a].cvs[v_idx].value,
+ var_get_width (va->vars[v_idx]), hash);
+ }
+ }
- struct ctables_table *t = &ct->tables[i];
- struct var_array2 vaa = enumerate_fts (t->axes[PIVOT_AXIS_ROW]);
- vaa = nest_fts (vaa, enumerate_fts (t->axes[PIVOT_AXIS_COLUMN]));
- vaa = nest_fts (vaa, enumerate_fts (t->axes[PIVOT_AXIS_LAYER]));
- for (size_t i = 0; i < vaa.n; i++)
+ struct ctables_domain *d;
+ HMAP_FOR_EACH_WITH_HASH (d, struct ctables_domain, node, hash, &t->domains[domain])
+ {
+ const struct ctables_cell *df = d->example;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
- for (size_t j = 0; j < vaa.vas[i].n; j++)
+ size_t idx = f->axes[a].vaa_idx;
+ if (idx != df->axes[a].vaa_idx)
+ goto not_equal;
+
+ const struct var_array *va = &t->vaas[a].vas[idx];
+ for (size_t i = 0; i < va->n_domains[domain]; i++)
{
- if (j)
- fputs (", ", stdout);
- fputs (var_get_name (vaa.vas[i].vars[j]), stdout);
+ size_t v_idx = va->domains[domain][i];
+ if (!value_equal (&df->axes[a].cvs[v_idx].value,
+ &f->axes[a].cvs[v_idx].value,
+ var_get_width (va->vars[v_idx])))
+ goto not_equal;
}
- putchar ('\n');
}
+ return d;
+
+ not_equal: ;
+ }
+
+ d = xmalloc (sizeof *d);
+ *d = (struct ctables_domain) { .example = f };
+ hmap_insert (&t->domains[domain], &d->node, hash);
+ return d;
+}
+
+static const struct ctables_category *
+ctables_categories_match (const struct ctables_categories *c,
+ const union value *v, const struct variable *var)
+{
+ const struct ctables_category *othernm = NULL;
+ for (size_t i = c->n_cats; i-- > 0; )
+ {
+ const struct ctables_category *cat = &c->cats[i];
+ switch (cat->type)
+ {
+ case CCT_NUMBER:
+ if (cat->number == v->f)
+ return cat;
+ break;
+
+ case CCT_STRING:
+ NOT_REACHED ();
+
+ case CCT_RANGE:
+ if ((cat->range[0] == -DBL_MAX || v->f >= cat->range[0])
+ && (cat->range[1] == DBL_MAX || v->f <= cat->range[1]))
+ return cat;
+ break;
+
+ case CCT_MISSING:
+ if (var_is_value_missing (var, v))
+ return cat;
+ break;
+
+ case CCT_OTHERNM:
+ if (!othernm)
+ othernm = cat;
+ break;
+
+ case CCT_SUBTOTAL:
+ case CCT_HSUBTOTAL:
+ case CCT_TOTAL:
+ break;
+
+ case CCT_VALUE:
+ case CCT_LABEL:
+ case CCT_FUNCTION:
+ return (cat->include_missing || !var_is_value_missing (var, v) ? cat
+ : NULL);
+ }
+ }
+
+ return var_is_value_missing (var, v) ? NULL : othernm;
+}
- for (size_t j = 0; j < vaa.n; j++)
+static void
+ctables_cell_insert (struct ctables_table *t,
+ const struct ccase *c,
+ size_t ir, size_t ic, size_t il,
+ double weight)
+{
+ size_t ix[PIVOT_N_AXES] = {
+ [PIVOT_AXIS_ROW] = ir,
+ [PIVOT_AXIS_COLUMN] = ic,
+ [PIVOT_AXIS_LAYER] = il,
+ };
+ const struct var_array *ss = &t->vaas[t->summary_axis].vas[ix[t->summary_axis]];
+
+ const struct ctables_category *cats[PIVOT_N_AXES][10];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct var_array *va = &t->vaas[a].vas[ix[a]];
+ for (size_t i = 0; i < va->n; i++)
{
- struct ctables_freqtab *ft = xmalloc (sizeof *ft);
- *ft = (struct ctables_freqtab) {
- .vars = vaa.vas[j],
- .data = HMAP_INITIALIZER (ft->data),
- };
+ if (i == va->scale_idx)
+ continue;
+
+ const struct variable *var = va->vars[i];
+ const union value *value = case_data (c, var);
+
+ if (var_is_numeric (var) && value->f == SYSMIS)
+ return;
- if (t->n_fts >= allocated_fts)
- t->fts = x2nrealloc (t->fts, &allocated_fts, sizeof *t->fts);
- t->fts[t->n_fts++] = ft;
+ cats[a][i] = ctables_categories_match (
+ t->categories[var_get_dict_index (var)], value, var);
+ if (!cats[a][i])
+ return;
}
+ }
- free (vaa.vas);
+ size_t hash = 0;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct var_array *va = &t->vaas[a].vas[ix[a]];
+ hash = hash_int (ix[a], hash);
+ for (size_t i = 0; i < va->n; i++)
+ if (i != va->scale_idx)
+ hash = value_hash (case_data (c, va->vars[i]),
+ var_get_width (va->vars[i]), hash);
+ }
+
+ struct ctables_cell *f;
+ HMAP_FOR_EACH_WITH_HASH (f, struct ctables_cell, node, hash, &t->cells)
+ {
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct var_array *va = &t->vaas[a].vas[ix[a]];
+ if (f->axes[a].vaa_idx != ix[a])
+ goto not_equal;
+ for (size_t i = 0; i < va->n; i++)
+ if (i != va->scale_idx
+ && !value_equal (case_data (c, va->vars[i]),
+ &f->axes[a].cvs[i].value,
+ var_get_width (va->vars[i])))
+ goto not_equal;
+ }
+
+ goto summarize;
+
+ not_equal: ;
+ }
+
+ f = xmalloc (sizeof *f);
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ const struct var_array *va = &t->vaas[a].vas[ix[a]];
+ f->axes[a].vaa_idx = ix[a];
+ f->axes[a].cvs = (va->n
+ ? xnmalloc (va->n, sizeof *f->axes[a].cvs)
+ : NULL);
+ for (size_t i = 0; i < va->n; i++)
+ {
+ f->axes[a].cvs[i].category = cats[a][i];
+ value_clone (&f->axes[a].cvs[i].value, case_data (c, va->vars[i]),
+ var_get_width (va->vars[i]));
+ }
+ }
+ f->summaries = xmalloc (ss->n_summaries * sizeof *f->summaries);
+ for (size_t i = 0; i < ss->n_summaries; i++)
+ ctables_summary_init (&f->summaries[i], &ss->summaries[i]);
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ f->domains[dt] = ctables_domain_insert (t, f, dt);
+ hmap_insert (&t->cells, &f->node, hash);
+
+summarize:
+ for (size_t i = 0; i < ss->n_summaries; i++)
+ ctables_summary_add (&f->summaries[i], &ss->summaries[i], ss->summary_var,
+ case_data (c, ss->summary_var), weight);
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ f->domains[dt]->valid += weight;
+}
+
+static bool
+ctables_execute (struct dataset *ds, struct ctables *ct)
+{
+ for (size_t i = 0; i < ct->n_tables; i++)
+ {
+ struct ctables_table *t = ct->tables[i];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (t->axes[a])
+ {
+ t->vaas[a] = enumerate_fts (a, t->axes[a]);
+
+ for (size_t j = 0; j < t->vaas[a].n; j++)
+ {
+ struct var_array *va = &t->vaas[a].vas[j];
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ {
+ va->domains[dt] = xmalloc (va->n * sizeof *va->domains[dt]);
+ va->n_domains[dt] = 0;
+
+ for (size_t k = 0; k < va->n; k++)
+ {
+ if (k == va->scale_idx)
+ continue;
+
+ switch (dt)
+ {
+ case CTDT_TABLE:
+ continue;
+
+ case CTDT_LAYER:
+ if (a != PIVOT_AXIS_LAYER)
+ continue;
+ break;
+
+ case CTDT_SUBTABLE:
+ case CTDT_ROW:
+ case CTDT_COL:
+ if (dt == CTDT_SUBTABLE ? a != PIVOT_AXIS_LAYER
+ : dt == CTDT_ROW ? a == PIVOT_AXIS_COLUMN
+ : a == PIVOT_AXIS_ROW)
+ {
+ if (k == va->n - 1
+ || (va->scale_idx == va->n - 1
+ && k == va->n - 2))
+ continue;
+ }
+ break;
+
+ case CTDT_LAYERROW:
+ if (a == PIVOT_AXIS_COLUMN)
+ continue;
+ break;
+
+ case CTDT_LAYERCOL:
+ if (a == PIVOT_AXIS_ROW)
+ continue;
+ break;
+ }
+
+ va->domains[dt][va->n_domains[dt]++] = k;
+ }
+ }
+ }
+ }
+ else
+ {
+ struct var_array *va = xmalloc (sizeof *va);
+ *va = (struct var_array) { .n = 0 };
+ t->vaas[a] = (struct var_array2) { .vas = va, .n = 1 };
+ }
+
+ for (size_t i = 0; i < t->vaas[t->summary_axis].n; i++)
+ {
+ struct var_array *va = &t->vaas[t->summary_axis].vas[i];
+ if (!va->n_summaries)
+ {
+ va->summaries = xmalloc (sizeof *va->summaries);
+ va->n_summaries = 1;
+
+ enum ctables_summary_function function
+ = va->summary_var ? CTSF_MEAN : CTSF_COUNT;
+ struct ctables_var var = { .is_mrset = false, .var = va->summary_var };
+
+ *va->summaries = (struct ctables_summary_spec) {
+ .function = function,
+ .format = ctables_summary_default_format (function, &var),
+ .label = ctables_summary_default_label (function, 0),
+ };
+ if (!va->summary_var)
+ va->summary_var = va->vars[0];
+ }
+ }
}
struct casereader *input = casereader_create_filter_weight (proc_open (ds),
dataset_dict (ds),
NULL, NULL);
bool warn_on_invalid = true;
+ double total_weight = 0;
for (struct ccase *c = casereader_read (input); c;
case_unref (c), c = casereader_read (input))
{
double weight = dict_get_case_weight (dataset_dict (ds), c,
&warn_on_invalid);
+ total_weight += weight;
for (size_t i = 0; i < ct->n_tables; i++)
{
- struct ctables_table *t = &ct->tables[i];
+ struct ctables_table *t = ct->tables[i];
- for (size_t j = 0; j < t->n_fts; j++)
+ for (size_t ir = 0; ir < t->vaas[PIVOT_AXIS_ROW].n; ir++)
+ for (size_t ic = 0; ic < t->vaas[PIVOT_AXIS_COLUMN].n; ic++)
+ for (size_t il = 0; il < t->vaas[PIVOT_AXIS_LAYER].n; il++)
+ ctables_cell_insert (t, c, ir, ic, il, weight);
+ }
+ }
+ casereader_destroy (input);
+
+ for (size_t i = 0; i < ct->n_tables; i++)
+ {
+ struct ctables_table *t = ct->tables[i];
+
+ struct pivot_table *pt = pivot_table_create__ (
+ (t->title
+ ? pivot_value_new_user_text (t->title, SIZE_MAX)
+ : pivot_value_new_text (N_("Custom Tables"))),
+ NULL);
+ if (t->caption)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
+ if (t->corner)
+ pivot_table_set_caption (
+ pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
+
+ pivot_table_set_look (pt, ct->look);
+ struct pivot_dimension *d[PIVOT_N_AXES];
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ static const char *names[] = {
+ [PIVOT_AXIS_ROW] = N_("Rows"),
+ [PIVOT_AXIS_COLUMN] = N_("Columns"),
+ [PIVOT_AXIS_LAYER] = N_("Layers"),
+ };
+ d[a] = (t->axes[a] || a == t->summary_axis
+ ? pivot_dimension_create (pt, a, names[a])
+ : NULL);
+ if (!d[a])
+ continue;
+
+ assert (t->axes[a]);
+
+ struct ctables_cell **sorted = xnmalloc (t->cells.count, sizeof *sorted);
+
+ struct ctables_cell *f;
+ size_t n = 0;
+ HMAP_FOR_EACH (f, struct ctables_cell, node, &t->cells)
+ sorted[n++] = f;
+ assert (n == t->cells.count);
+
+ struct ctables_cell_sort_aux aux = { .t = t, .a = a };
+ sort (sorted, n, sizeof *sorted, ctables_cell_compare_3way, &aux);
+
+ size_t max_depth = 0;
+ for (size_t j = 0; j < t->vaas[a].n; j++)
+ if (t->vaas[a].vas[j].n > max_depth)
+ max_depth = t->vaas[a].vas[j].n;
+
+ struct pivot_category **groups = xnmalloc (max_depth, sizeof *groups);
+ struct pivot_category *top = NULL;
+ int prev_leaf = 0;
+ for (size_t j = 0; j < n; j++)
{
- struct ctables_freqtab *ft = t->fts[j];
+ struct ctables_cell *f = sorted[j];
+ const struct var_array *va = &t->vaas[a].vas[f->axes[a].vaa_idx];
- for (size_t k = 0; k < ft->vars.n; k++)
+ size_t n_common = 0;
+ bool new_subtable = false;
+ if (j > 0)
{
- const struct variable *var = ft->vars.vars[k];
- switch (var_is_value_missing (var, case_data (c, var)))
+ struct ctables_cell *prev = sorted[j - 1];
+ if (prev->axes[a].vaa_idx == f->axes[a].vaa_idx)
{
- case MV_SYSTEM:
- goto next_ft;
-
- case MV_USER:
- if (!t->categories[var_get_dict_index (var)]
- || !t->categories[var_get_dict_index (var)]->include_missing)
- goto next_ft;
- break;
+ for (; n_common < va->n; n_common++)
+ if (n_common != va->scale_idx
+ && !value_equal (&prev->axes[a].cvs[n_common].value,
+ &f->axes[a].cvs[n_common].value,
+ var_get_type (va->vars[n_common])))
+ break;
}
+ else
+ new_subtable = true;
}
- size_t hash = 0;
- for (size_t k = 0; k < ft->vars.n; k++)
- {
- const struct variable *var = ft->vars.vars[k];
- hash = value_hash (case_data (c, var), var_get_width (var), hash);
- }
+ else
+ new_subtable = true;
- struct freq *f;
- HMAP_FOR_EACH_WITH_HASH (f, struct freq, node, hash, &ft->data)
+ if (new_subtable)
{
- for (size_t k = 0; k < ft->vars.n; k++)
- {
- const struct variable *var = ft->vars.vars[k];
- if (!value_equal (case_data (c, var), &f->values[k],
- var_get_width (var)))
- goto next_hash_node;
- }
-
- f->count += weight;
- goto next_ft;
-
- next_hash_node: ;
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (va->vars[0])];
+ top = d[a]->root;
+ if (vlabel != CTVL_NONE)
+ top = pivot_category_create_group__ (
+ top, pivot_value_new_variable (va->vars[0]));
}
-
- f = xmalloc (table_entry_size (ft->vars.n));
- f->count = weight;
- for (size_t k = 0; k < ft->vars.n; k++)
+ if (n_common == va->n)
{
- const struct variable *var = ft->vars.vars[k];
- value_clone (&f->values[k], case_data (c, var),
- var_get_width (var));
+ f->axes[a].leaf = prev_leaf;
+ continue;
}
- hmap_insert (&ft->data, &f->node, hash);
- next_ft: ;
- }
- }
- }
- casereader_destroy (input);
-
- for (size_t i = 0; i < ct->n_tables; i++)
- {
- struct ctables_table *t = &ct->tables[i];
+ for (size_t k = n_common; k < va->n; k++)
+ {
+ struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
+
+ struct pivot_value *label
+ = (k != va->scale_idx
+ ? pivot_value_new_var_value (va->vars[k],
+ &f->axes[a].cvs[k].value)
+ : NULL);
+ if (k == va->n - 1)
+ {
+ if (a == t->summary_axis)
+ {
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
+ for (size_t m = 0; m < va->n_summaries; m++)
+ {
+ int leaf = pivot_category_create_leaf (
+ parent, pivot_value_new_text (va->summaries[m].label));
+ if (m == 0)
+ prev_leaf = leaf;
+ }
+ }
+ else
+ {
+ /* This assertion is true as long as the summary axis
+ is the axis where the summaries are displayed. */
+ assert (label);
- struct pivot_table *pt = pivot_table_create (N_("Custom Tables"));
- struct pivot_dimension *d = pivot_dimension_create (
- pt, PIVOT_AXIS_ROW, N_("Rows"));
- for (size_t j = 0; j < t->n_fts; j++)
- {
- struct ctables_freqtab *ft = t->fts[j];
- ft->sorted = xnmalloc (ft->data.count, sizeof *ft->sorted);
+ prev_leaf = pivot_category_create_leaf (parent, label);
+ }
+ break;
+ }
- struct freq *f;
- size_t n = 0;
- HMAP_FOR_EACH (f, struct freq, node, &ft->data)
- ft->sorted[n++] = f;
- assert (n == ft->data.count);
- sort (ft->sorted, n, sizeof *ft->sorted,
- compare_freq_3way, &ft->vars);
-
- struct pivot_category **groups = xnmalloc (ft->vars.n,
- sizeof *groups);
- for (size_t k = 0; k < n; k++)
- {
- struct freq *prev = k > 0 ? ft->sorted[k - 1] : NULL;
- struct freq *f = ft->sorted[k];
+ if (label)
+ parent = pivot_category_create_group__ (parent, label);
- size_t n_common = 0;
- if (prev)
- for (; n_common + 1 < ft->vars.n; n_common++)
- if (!value_equal (&prev->values[n_common],
- &f->values[n_common],
- var_get_type (ft->vars.vars[n_common])))
- break;
-
- for (size_t m = n_common; m + 1 < ft->vars.n; m++)
- {
- struct pivot_category *parent = m > 0 ? groups[m - 1] : d->root;
- if (true)
+ enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (va->vars[k + 1])];
+ if (vlabel != CTVL_NONE)
parent = pivot_category_create_group__ (
- parent, pivot_value_new_variable (ft->vars.vars[m]));
- groups[m] = pivot_category_create_group__ (
- parent,
- pivot_value_new_var_value (ft->vars.vars[m], &f->values[m]));
+ parent, pivot_value_new_variable (va->vars[k + 1]));
+ groups[k] = parent;
}
- int leaf = pivot_category_create_leaf (
- ft->vars.n > 1 ? groups[ft->vars.n - 2] : d->root,
- pivot_value_new_var_value (ft->vars.vars[ft->vars.n - 1],
- &f->values[ft->vars.n - 1]));
-
- pivot_table_put1 (pt, leaf, pivot_value_new_number (f->count));
+ f->axes[a].leaf = prev_leaf;
}
+ free (sorted);
free (groups);
}
- pivot_table_submit (pt);
- }
-
- for (size_t i = 0; i < ct->n_tables; i++)
- {
- struct ctables_table *t = &ct->tables[i];
-
- for (size_t j = 0; j < t->n_fts; j++)
+ struct ctables_cell *f;
+ HMAP_FOR_EACH (f, struct ctables_cell, node, &t->cells)
{
- struct ctables_freqtab *ft = t->fts[j];
- struct freq *f, *next;
- HMAP_FOR_EACH_SAFE (f, next, struct freq, node, &ft->data)
+ const struct var_array *ss = &t->vaas[t->summary_axis].vas[f->axes[t->summary_axis].vaa_idx];
+ for (size_t j = 0; j < ss->n_summaries; j++)
{
- hmap_delete (&ft->data, &f->node);
- for (size_t k = 0; k < ft->vars.n; k++)
- {
- const struct variable *var = ft->vars.vars[k];
- value_destroy (&f->values[k], var_get_width (var));
- }
- free (f);
+ size_t dindexes[3];
+ size_t n_dindexes = 0;
+
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (d[a])
+ {
+ int leaf = f->axes[a].leaf;
+ if (a == t->summary_axis)
+ leaf += j;
+ dindexes[n_dindexes++] = leaf;
+ }
+
+ double d = ctables_summary_value (f, &f->summaries[j], &ss->summaries[j]);
+ struct pivot_value *value = pivot_value_new_number (d);
+ value->numeric.format = ss->summaries[j].format;
+ pivot_table_put (pt, dindexes, n_dindexes, value);
}
- hmap_destroy (&ft->data);
- free (ft->sorted);
- var_array_uninit (&ft->vars);
- free (ft);
}
- free (t->fts);
+
+ pivot_table_submit (pt);
}
return proc_commit (ds);
{
size_t n_vars = dict_get_n_vars (dataset_dict (ds));
enum ctables_vlabel *vlabels = xnmalloc (n_vars, sizeof *vlabels);
+ enum settings_value_show tvars = settings_get_show_variables ();
for (size_t i = 0; i < n_vars; i++)
- vlabels[i] = CTVL_DEFAULT;
+ vlabels[i] = (enum ctables_vlabel) tvars;
struct ctables *ct = xmalloc (sizeof *ct);
*ct = (struct ctables) {
.vlabels = vlabels,
.hide_threshold = 5,
};
+ ct->look->omit_empty = false;
if (!lex_force_match (lexer, T_SLASH))
goto error;
enum ctables_vlabel vlabel;
if (lex_match_id (lexer, "DEFAULT"))
- vlabel = CTVL_DEFAULT;
+ vlabel = (enum ctables_vlabel) settings_get_show_variables ();
else if (lex_match_id (lexer, "NAME"))
vlabel = CTVL_NAME;
else if (lex_match_id (lexer, "LABEL"))
ct->tables = x2nrealloc (ct->tables, &allocated_tables,
sizeof *ct->tables);
- struct ctables_table *t = &ct->tables[ct->n_tables++];
+ struct ctables_category *cat = xmalloc (sizeof *cat);
+ *cat = (struct ctables_category) {
+ .type = CCT_VALUE,
+ .include_missing = false,
+ .sort_ascending = true,
+ };
+
+ struct ctables_categories *c = xmalloc (sizeof *c);
+ size_t n_vars = dict_get_n_vars (dataset_dict (ds));
+ *c = (struct ctables_categories) {
+ .n_refs = n_vars,
+ .cats = cat,
+ .n_cats = 1,
+ };
+
+ struct ctables_categories **categories = xnmalloc (n_vars,
+ sizeof *categories);
+ for (size_t i = 0; i < n_vars; i++)
+ categories[i] = c;
+
+ struct ctables_table *t = xmalloc (sizeof *t);
*t = (struct ctables_table) {
+ .cells = HMAP_INITIALIZER (t->cells),
.slabels_position = PIVOT_AXIS_COLUMN,
.slabels_visible = true,
.row_labels = CTLP_NORMAL,
.col_labels = CTLP_NORMAL,
- .categories = xcalloc (dict_get_n_vars (dataset_dict (ds)),
- sizeof *t->categories),
- .n_categories = dict_get_n_vars (dataset_dict (ds)),
+ .categories = categories,
+ .n_categories = n_vars,
.cilevel = 95,
};
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ hmap_init (&t->domains[dt]);
+ ct->tables[ct->n_tables++] = t;
lex_match (lexer, T_EQUALS);
if (!ctables_axis_parse (lexer, dataset_dict (ds), ct, t, PIVOT_AXIS_ROW))
const struct ctables_axis *scales[PIVOT_N_AXES];
size_t n_scales = 0;
- for (size_t i = 0; i < 3; i++)
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
- scales[i] = find_scale (t->axes[i]);
- if (scales[i])
+ scales[a] = find_scale (t->axes[a]);
+ if (scales[a])
n_scales++;
}
if (n_scales > 1)
{
- msg (SE, _("Scale variables may appear only on one dimension."));
+ msg (SE, _("Scale variables may appear only on one axis."));
if (scales[PIVOT_AXIS_ROW])
msg_at (SN, scales[PIVOT_AXIS_ROW]->loc,
- _("This scale variable appears in the rows dimension."));
+ _("This scale variable appears on the rows axis."));
if (scales[PIVOT_AXIS_COLUMN])
msg_at (SN, scales[PIVOT_AXIS_COLUMN]->loc,
- _("This scale variable appears in the columns dimension."));
+ _("This scale variable appears on the columns axis."));
if (scales[PIVOT_AXIS_LAYER])
msg_at (SN, scales[PIVOT_AXIS_LAYER]->loc,
- _("This scale variable appears in the layer dimension."));
+ _("This scale variable appears on the layer axis."));
+ goto error;
+ }
+
+ const struct ctables_axis *summaries[PIVOT_N_AXES];
+ size_t n_summaries = 0;
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ {
+ summaries[a] = (scales[a]
+ ? scales[a]
+ : find_categorical_summary_spec (t->axes[a]));
+ if (summaries[a])
+ n_summaries++;
+ }
+ if (n_summaries > 1)
+ {
+ msg (SE, _("Summaries may appear only on one axis."));
+ if (summaries[PIVOT_AXIS_ROW])
+ msg_at (SN, summaries[PIVOT_AXIS_ROW]->loc,
+ _("This variable on the rows axis has a summary."));
+ if (summaries[PIVOT_AXIS_COLUMN])
+ msg_at (SN, summaries[PIVOT_AXIS_COLUMN]->loc,
+ _("This variable on the columns axis has a summary."));
+ if (summaries[PIVOT_AXIS_LAYER])
+ msg_at (SN, summaries[PIVOT_AXIS_LAYER]->loc,
+ _("This variable on the layers axis has a summary."));
goto error;
}
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (n_summaries ? summaries[a] : t->axes[a])
+ {
+ t->summary_axis = a;
+ break;
+ }
if (lex_token (lexer) == T_ENDCMD)
break;