#include <math.h>
#include "data/casereader.h"
+#include "data/casewriter.h"
#include "data/dataset.h"
#include "data/dictionary.h"
#include "data/mrset.h"
+#include "data/subcase.h"
#include "data/value-labels.h"
#include "language/command.h"
#include "language/lexer/format-parser.h"
#include "libpspp/hmap.h"
#include "libpspp/message.h"
#include "libpspp/string-array.h"
+#include "math/mode.h"
#include "math/moments.h"
+#include "math/percentiles.h"
+#include "math/sort.h"
#include "output/pivot-table.h"
#include "gl/minmax.h"
const struct ctables_cell *example;
- double valid;
- double missing;
+ double d_valid; /* Dictionary weight. */
+ double d_missing;
+ double e_valid; /* Effective weight */
+ double e_missing;
};
enum ctables_summary_variant
struct hmap_node node;
/* The domains that contain this cell. */
+ bool contributes_to_domains;
struct ctables_domain *domains[N_CTDTS];
bool hide;
struct
{
- size_t stack_idx;
+ size_t nest_idx;
struct ctables_cell_value
{
const struct ctables_category *category;
bool mrsets_count_duplicates; /* MRSETS. */
bool smissing_listwise; /* SMISSING. */
- struct variable *base_weight; /* WEIGHT. */
+ struct variable *e_weight; /* WEIGHT. */
int hide_threshold; /* HIDESMALLCOUNTS. */
struct ctables_table **tables;
{
struct hmap_node node;
union value value;
+ int leaf;
};
struct ctables_table
const struct variable *clabels_example;
struct hmap clabels_values_map;
- union value *clabels_values;
+ struct ctables_value **clabels_values;
size_t n_clabels_values;
enum pivot_axis_type slabels_axis;
/* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
struct moments1 *moments;
- /* XXX percentiles, median, mode, multiple response */
+ /* MEDIAN, MODE, PTILE. */
+ struct
+ {
+ struct casewriter *writer;
+ double ovalid;
+ double ovalue;
+ };
+
+ /* XXX multiple response */
};
static void
case CTSF_LAYERPCT_TOTALN:
case CTSF_LAYERROWPCT_TOTALN:
case CTSF_LAYERCOLPCT_TOTALN:
+ case CTSF_MISSING:
case CSTF_TOTALN:
case CTSF_ETOTALN:
case CTSF_VALIDN:
break;
case CTSF_MEDIAN:
- case CTSF_MISSING:
case CTSF_MODE:
case CTSF_PTILE:
- NOT_REACHED ();
+ {
+ struct caseproto *proto = caseproto_create ();
+ proto = caseproto_add_width (proto, 0);
+ proto = caseproto_add_width (proto, 0);
+
+ struct subcase ordering;
+ subcase_init (&ordering, 0, 0, SC_ASCEND);
+ s->writer = sort_create_writer (&ordering, proto);
+ subcase_uninit (&ordering);
+ caseproto_unref (proto);
+
+ s->ovalid = 0;
+ s->ovalue = SYSMIS;
+ }
+ break;
case CTSF_RESPONSES:
case CTSF_ROWPCT_RESPONSES:
case CTSF_LAYERPCT_TOTALN:
case CTSF_LAYERROWPCT_TOTALN:
case CTSF_LAYERCOLPCT_TOTALN:
+ case CTSF_MISSING:
case CSTF_TOTALN:
case CTSF_ETOTALN:
case CTSF_VALIDN:
break;
case CTSF_MEDIAN:
- case CTSF_MISSING:
case CTSF_MODE:
case CTSF_PTILE:
- NOT_REACHED ();
+ casewriter_destroy (s->writer);
+ break;
case CTSF_RESPONSES:
case CTSF_ROWPCT_RESPONSES:
ctables_summary_add (union ctables_summary *s,
const struct ctables_summary_spec *ss,
const struct variable *var, const union value *value,
- double weight)
+ double d_weight, double e_weight)
{
switch (ss->function)
{
case CTSF_COUNT:
+ case CSTF_TOTALN:
+ case CTSF_VALIDN:
+ if (var_is_value_missing (var, value))
+ s->missing += d_weight;
+ else
+ s->valid += d_weight;
+ break;
+
case CTSF_ECOUNT:
case CTSF_ROWPCT_COUNT:
case CTSF_COLPCT_COUNT:
case CTSF_LAYERPCT_TOTALN:
case CTSF_LAYERROWPCT_TOTALN:
case CTSF_LAYERCOLPCT_TOTALN:
- case CSTF_TOTALN:
+ case CTSF_MISSING:
case CTSF_ETOTALN:
- case CTSF_VALIDN:
case CTSF_EVALIDN:
if (var_is_value_missing (var, value))
- s->missing += weight;
+ s->missing += e_weight;
else
- s->valid += weight;
+ s->valid += e_weight;
break;
case CTSF_MAXIMUM:
case CTSF_LAYERPCT_SUM:
case CTSF_LAYERROWPCT_SUM:
case CTSF_LAYERCOLPCT_SUM:
- moments1_add (s->moments, value->f, weight);
+ if (!var_is_value_missing (var, value))
+ moments1_add (s->moments, value->f, e_weight);
break;
case CTSF_MEDIAN:
- case CTSF_MISSING:
case CTSF_MODE:
case CTSF_PTILE:
- NOT_REACHED ();
+ if (var_is_value_missing (var, value))
+ {
+ s->ovalid += e_weight;
+
+ struct ccase *c = case_create (casewriter_get_proto (s->writer));
+ *case_num_rw_idx (c, 0) = value->f;
+ *case_num_rw_idx (c, 1) = e_weight;
+ casewriter_write (s->writer, c);
+ }
+ break;
case CTSF_RESPONSES:
case CTSF_ROWPCT_RESPONSES:
}
}
+static enum ctables_domain_type
+ctables_function_domain (enum ctables_summary_function function)
+{
+ switch (function)
+ {
+ case CTSF_COUNT:
+ case CTSF_ECOUNT:
+ case CTSF_MISSING:
+ case CSTF_TOTALN:
+ case CTSF_ETOTALN:
+ case CTSF_VALIDN:
+ case CTSF_EVALIDN:
+ case CTSF_MAXIMUM:
+ case CTSF_MINIMUM:
+ case CTSF_RANGE:
+ case CTSF_MEAN:
+ case CTSF_SEMEAN:
+ case CTSF_STDDEV:
+ case CTSF_SUM:
+ case CTSF_VARIANCE:
+ case CTSF_MEDIAN:
+ case CTSF_PTILE:
+ case CTSF_MODE:
+ case CTSF_RESPONSES:
+ NOT_REACHED ();
+
+ case CTSF_COLPCT_COUNT:
+ case CTSF_COLPCT_COUNT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES:
+ case CTSF_COLPCT_RESPONSES_COUNT:
+ case CTSF_COLPCT_SUM:
+ case CTSF_COLPCT_TOTALN:
+ case CTSF_COLPCT_VALIDN:
+ return CTDT_COL;
+
+ case CTSF_LAYERCOLPCT_COUNT:
+ case CTSF_LAYERCOLPCT_COUNT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES:
+ case CTSF_LAYERCOLPCT_RESPONSES_COUNT:
+ case CTSF_LAYERCOLPCT_SUM:
+ case CTSF_LAYERCOLPCT_TOTALN:
+ case CTSF_LAYERCOLPCT_VALIDN:
+ return CTDT_LAYERCOL;
+
+ case CTSF_LAYERPCT_COUNT:
+ case CTSF_LAYERPCT_COUNT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES:
+ case CTSF_LAYERPCT_RESPONSES_COUNT:
+ case CTSF_LAYERPCT_SUM:
+ case CTSF_LAYERPCT_TOTALN:
+ case CTSF_LAYERPCT_VALIDN:
+ return CTDT_LAYER;
+
+ case CTSF_LAYERROWPCT_COUNT:
+ case CTSF_LAYERROWPCT_COUNT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES:
+ case CTSF_LAYERROWPCT_RESPONSES_COUNT:
+ case CTSF_LAYERROWPCT_SUM:
+ case CTSF_LAYERROWPCT_TOTALN:
+ case CTSF_LAYERROWPCT_VALIDN:
+ return CTDT_LAYERROW;
+
+ case CTSF_ROWPCT_COUNT:
+ case CTSF_ROWPCT_COUNT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES:
+ case CTSF_ROWPCT_RESPONSES_COUNT:
+ case CTSF_ROWPCT_SUM:
+ case CTSF_ROWPCT_TOTALN:
+ case CTSF_ROWPCT_VALIDN:
+ return CTDT_ROW;
+
+ case CTSF_SUBTABLEPCT_COUNT:
+ case CTSF_SUBTABLEPCT_COUNT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES:
+ case CTSF_SUBTABLEPCT_RESPONSES_COUNT:
+ case CTSF_SUBTABLEPCT_SUM:
+ case CTSF_SUBTABLEPCT_TOTALN:
+ case CTSF_SUBTABLEPCT_VALIDN:
+ return CTDT_SUBTABLE;
+
+ case CTSF_TABLEPCT_COUNT:
+ case CTSF_TABLEPCT_COUNT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES:
+ case CTSF_TABLEPCT_RESPONSES_COUNT:
+ case CTSF_TABLEPCT_SUM:
+ case CTSF_TABLEPCT_TOTALN:
+ case CTSF_TABLEPCT_VALIDN:
+ return CTDT_TABLE;
+ }
+
+ NOT_REACHED ();
+}
+
static double
ctables_summary_value (const struct ctables_cell *cell,
union ctables_summary *s,
case CTSF_ECOUNT:
return s->valid;
- case CTSF_SUBTABLEPCT_COUNT:
- return cell->domains[CTDT_SUBTABLE]->valid ? s->valid / cell->domains[CTDT_SUBTABLE]->valid * 100 : SYSMIS;
-
case CTSF_ROWPCT_COUNT:
- return cell->domains[CTDT_ROW]->valid ? s->valid / cell->domains[CTDT_ROW]->valid * 100 : SYSMIS;
-
case CTSF_COLPCT_COUNT:
- return cell->domains[CTDT_COL]->valid ? s->valid / cell->domains[CTDT_COL]->valid * 100 : SYSMIS;
-
case CTSF_TABLEPCT_COUNT:
- return cell->domains[CTDT_TABLE]->valid ? s->valid / cell->domains[CTDT_TABLE]->valid * 100 : SYSMIS;
-
+ case CTSF_SUBTABLEPCT_COUNT:
case CTSF_LAYERPCT_COUNT:
- return cell->domains[CTDT_LAYER]->valid ? s->valid / cell->domains[CTDT_LAYER]->valid * 100 : SYSMIS;
-
case CTSF_LAYERROWPCT_COUNT:
- return cell->domains[CTDT_LAYERROW]->valid ? s->valid / cell->domains[CTDT_LAYERROW]->valid * 100 : SYSMIS;
-
case CTSF_LAYERCOLPCT_COUNT:
- return cell->domains[CTDT_LAYERCOL]->valid ? s->valid / cell->domains[CTDT_LAYERCOL]->valid * 100 : SYSMIS;
+ {
+ enum ctables_domain_type d = ctables_function_domain (ss->function);
+ return (cell->domains[d]->e_valid
+ ? s->valid / cell->domains[d]->e_valid * 100
+ : SYSMIS);
+ }
case CTSF_ROWPCT_VALIDN:
case CTSF_COLPCT_VALIDN:
case CTSF_LAYERCOLPCT_TOTALN:
NOT_REACHED ();
+ case CTSF_MISSING:
+ return s->missing;
+
case CSTF_TOTALN:
case CTSF_ETOTALN:
return s->valid + s->missing;
NOT_REACHED ();
case CTSF_MEDIAN:
- case CTSF_MISSING:
- case CTSF_MODE:
case CTSF_PTILE:
- NOT_REACHED ();
+ if (s->writer)
+ {
+ struct casereader *reader = casewriter_make_reader (s->writer);
+ s->writer = NULL;
+
+ struct percentile *ptile = percentile_create (
+ ss->function == CTSF_PTILE ? ss->percentile : 0.5, s->ovalid);
+ struct order_stats *os = &ptile->parent;
+ order_stats_accumulate_idx (&os, 1, reader, 1, 0);
+ s->ovalue = percentile_calculate (ptile, PC_HAVERAGE);
+ statistic_destroy (&ptile->parent.parent);
+ }
+ return s->ovalue;
+
+ case CTSF_MODE:
+ if (s->writer)
+ {
+ struct casereader *reader = casewriter_make_reader (s->writer);
+ s->writer = NULL;
+
+ struct mode *mode = mode_create ();
+ struct order_stats *os = &mode->parent;
+ order_stats_accumulate_idx (&os, 1, reader, 1, 0);
+ s->ovalue = mode->mode;
+ statistic_destroy (&mode->parent.parent);
+ }
+ return s->ovalue;
case CTSF_RESPONSES:
case CTSF_ROWPCT_RESPONSES:
const struct ctables_cell *a = *ap;
const struct ctables_cell *b = *bp;
- size_t a_idx = a->axes[aux->a].stack_idx;
- size_t b_idx = b->axes[aux->a].stack_idx;
+ size_t a_idx = a->axes[aux->a].nest_idx;
+ size_t b_idx = b->axes[aux->a].nest_idx;
if (a_idx != b_idx)
return a_idx < b_idx ? -1 : 1;
size_t hash = 0;
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
- size_t idx = cell->axes[a].stack_idx;
+ size_t idx = cell->axes[a].nest_idx;
const struct ctables_nest *nest = &t->stacks[a].nests[idx];
hash = hash_int (idx, hash);
for (size_t i = 0; i < nest->n_domains[domain]; i++)
const struct ctables_cell *df = d->example;
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
- size_t idx = cell->axes[a].stack_idx;
- if (idx != df->axes[a].stack_idx)
+ size_t idx = cell->axes[a].nest_idx;
+ if (idx != df->axes[a].nest_idx)
goto not_equal;
const struct ctables_nest *nest = &t->stacks[a].nests[idx];
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
- if (cell->axes[a].stack_idx != ix[a])
+ if (cell->axes[a].nest_idx != ix[a])
goto not_equal;
for (size_t i = 0; i < nest->n; i++)
if (i != nest->scale_idx
cell = xmalloc (sizeof *cell);
cell->hide = false;
cell->sv = sv;
+ cell->contributes_to_domains = true;
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
{
const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
- cell->axes[a].stack_idx = ix[a];
+ cell->axes[a].nest_idx = ix[a];
cell->axes[a].cvs = (nest->n
? xnmalloc (nest->n, sizeof *cell->axes[a].cvs)
: NULL);
for (size_t i = 0; i < nest->n; i++)
{
+ const struct ctables_category *cat = cats[a][i];
+
if (i != nest->scale_idx)
{
- const struct ctables_category *subtotal = cats[a][i]->subtotal;
+ const struct ctables_category *subtotal = cat->subtotal;
if (subtotal && subtotal->type == CCT_HSUBTOTAL)
cell->hide = true;
+
+ if (cat->type == CCT_TOTAL || cat->type == CCT_SUBTOTAL || cat->type == CCT_HSUBTOTAL)
+ cell->contributes_to_domains = false;
}
- cell->axes[a].cvs[i].category = cats[a][i];
+ cell->axes[a].cvs[i].category = cat;
value_clone (&cell->axes[a].cvs[i].value, case_data (c, nest->vars[i]),
var_get_width (nest->vars[i]));
}
ctables_cell_add__ (struct ctables_table *t, const struct ccase *c,
size_t ix[PIVOT_N_AXES],
const struct ctables_category *cats[PIVOT_N_AXES][10],
- double weight)
+ double d_weight, double e_weight)
{
struct ctables_cell *cell = ctables_cell_insert__ (t, c, ix, cats);
const struct ctables_nest *ss = &t->stacks[t->summary_axis].nests[ix[t->summary_axis]];
const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
for (size_t i = 0; i < specs->n; i++)
ctables_summary_add (&cell->summaries[i], &specs->specs[i], specs->var,
- case_data (c, specs->var), weight);
- for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
- cell->domains[dt]->valid += weight;
+ case_data (c, specs->var), d_weight, e_weight);
+ if (cell->contributes_to_domains)
+ {
+ for (enum ctables_domain_type dt = 0; dt < N_CTDTS; dt++)
+ {
+ cell->domains[dt]->d_valid += d_weight;
+ cell->domains[dt]->e_valid += e_weight;
+ }
+ }
}
static void
recurse_totals (struct ctables_table *t, const struct ccase *c,
size_t ix[PIVOT_N_AXES],
const struct ctables_category *cats[PIVOT_N_AXES][10],
- double weight,
+ double d_weight, double e_weight,
enum pivot_axis_type start_axis, size_t start_nest)
{
for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
{
const struct ctables_category *save = cats[a][i];
cats[a][i] = total;
- ctables_cell_add__ (t, c, ix, cats, weight);
- recurse_totals (t, c, ix, cats, weight, a, i + 1);
+ ctables_cell_add__ (t, c, ix, cats, d_weight, e_weight);
+ recurse_totals (t, c, ix, cats, d_weight, e_weight, a, i + 1);
cats[a][i] = save;
}
}
}
static void
-ctables_cell_insert (struct ctables_table *t,
- const struct ccase *c,
- size_t ir, size_t ic, size_t il,
- double weight)
+recurse_subtotals (struct ctables_table *t, const struct ccase *c,
+ size_t ix[PIVOT_N_AXES],
+ const struct ctables_category *cats[PIVOT_N_AXES][10],
+ double d_weight, double e_weight,
+ enum pivot_axis_type start_axis, size_t start_nest)
{
- size_t ix[PIVOT_N_AXES] = {
- [PIVOT_AXIS_ROW] = ir,
- [PIVOT_AXIS_COLUMN] = ic,
- [PIVOT_AXIS_LAYER] = il,
- };
-
- const struct ctables_category *cats[PIVOT_N_AXES][10];
- for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
- {
- const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
- for (size_t i = 0; i < nest->n; i++)
- {
- if (i == nest->scale_idx)
- continue;
-
- const struct variable *var = nest->vars[i];
- const union value *value = case_data (c, var);
-
- if (var_is_numeric (var) && value->f == SYSMIS)
- return;
-
- cats[a][i] = ctables_categories_match (
- t->categories[var_get_dict_index (var)], value, var);
- if (!cats[a][i])
- return;
- }
- }
-
- ctables_cell_add__ (t, c, ix, cats, weight);
-
- recurse_totals (t, c, ix, cats, weight, 0, 0);
-
- for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
{
const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
- for (size_t i = 0; i < nest->n; i++)
+ for (size_t i = start_nest; i < nest->n; i++)
{
if (i == nest->scale_idx)
continue;
if (save->subtotal)
{
cats[a][i] = save->subtotal;
- ctables_cell_add__ (t, c, ix, cats, weight);
+ ctables_cell_add__ (t, c, ix, cats, d_weight, e_weight);
+ recurse_subtotals (t, c, ix, cats, d_weight, e_weight, a, i + 1);
cats[a][i] = save;
}
}
+ start_nest = 0;
}
}
-struct merge_item
- {
- const struct ctables_summary_spec_set *set;
- size_t ofs;
- };
-
-static int
-merge_item_compare_3way (const struct merge_item *a, const struct merge_item *b)
-{
- const struct ctables_summary_spec *as = &a->set->specs[a->ofs];
- const struct ctables_summary_spec *bs = &b->set->specs[b->ofs];
- if (as->function != bs->function)
- return as->function > bs->function ? 1 : -1;
- else if (as->percentile != bs->percentile)
- return as->percentile < bs->percentile ? 1 : -1;
- return strcmp (as->label, bs->label);
-}
-
static void
-ctables_table_output_same_axis (struct ctables *ct, struct ctables_table *t)
+ctables_cell_insert (struct ctables_table *t,
+ const struct ccase *c,
+ size_t ix[PIVOT_N_AXES],
+ double d_weight, double e_weight)
{
- 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"))),
- "Custom Tables");
- 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];
+ const struct ctables_category *cats[PIVOT_N_AXES][10];
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 *cell;
- size_t n = 0;
- HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
- if (!cell->hide)
- sorted[n++] = cell;
- 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->stacks[a].n; j++)
- if (t->stacks[a].nests[j].n > max_depth)
- max_depth = t->stacks[a].nests[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++)
+ const struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+ for (size_t i = 0; i < nest->n; i++)
{
- struct ctables_cell *cell = sorted[j];
- const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].stack_idx];
-
- size_t n_common = 0;
- bool new_subtable = false;
- if (j > 0)
- {
- struct ctables_cell *prev = sorted[j - 1];
- if (prev->axes[a].stack_idx == cell->axes[a].stack_idx)
- {
- for (; n_common < nest->n; n_common++)
- if (n_common != nest->scale_idx
- && (prev->axes[a].cvs[n_common].category
- != cell->axes[a].cvs[n_common].category
- || !value_equal (&prev->axes[a].cvs[n_common].value,
- &cell->axes[a].cvs[n_common].value,
- var_get_type (nest->vars[n_common]))))
- break;
- }
- else
- new_subtable = true;
- }
- else
- new_subtable = true;
-
- if (new_subtable)
- {
- enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[0])];
- top = d[a]->root;
- if (vlabel != CTVL_NONE)
- top = pivot_category_create_group__ (
- top, pivot_value_new_variable (nest->vars[0]));
- }
- if (n_common == nest->n)
- {
- cell->axes[a].leaf = prev_leaf;
- continue;
- }
-
- for (size_t k = n_common; k < nest->n; k++)
- {
- struct pivot_category *parent = k > 0 ? groups[k - 1] : top;
-
- struct pivot_value *label
- = (k == nest->scale_idx ? NULL
- : (cell->axes[a].cvs[k].category->type == CCT_TOTAL
- || cell->axes[a].cvs[k].category->type == CCT_SUBTOTAL
- || cell->axes[a].cvs[k].category->type == CCT_HSUBTOTAL)
- ? pivot_value_new_user_text (cell->axes[a].cvs[k].category->total_label,
- SIZE_MAX)
- : pivot_value_new_var_value (nest->vars[k],
- &cell->axes[a].cvs[k].value));
- if (k == nest->n - 1)
- {
- if (a == t->summary_axis)
- {
- if (label)
- parent = pivot_category_create_group__ (parent, label);
- const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
- for (size_t m = 0; m < specs->n; m++)
- {
- int leaf = pivot_category_create_leaf (
- parent, pivot_value_new_text (specs->specs[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);
-
- prev_leaf = pivot_category_create_leaf (parent, label);
- }
- break;
- }
+ if (i == nest->scale_idx)
+ continue;
- if (label)
- parent = pivot_category_create_group__ (parent, label);
+ const struct variable *var = nest->vars[i];
+ const union value *value = case_data (c, var);
- enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k + 1])];
- if (vlabel != CTVL_NONE)
- parent = pivot_category_create_group__ (
- parent, pivot_value_new_variable (nest->vars[k + 1]));
- groups[k] = parent;
- }
+ if (var_is_numeric (var) && value->f == SYSMIS)
+ return;
- cell->axes[a].leaf = prev_leaf;
+ cats[a][i] = ctables_categories_match (
+ t->categories[var_get_dict_index (var)], value, var);
+ if (!cats[a][i])
+ return;
}
- free (sorted);
- free (groups);
}
- struct ctables_cell *cell;
- HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
- {
- if (cell->hide)
- continue;
- const struct ctables_nest *nest = &t->stacks[t->summary_axis].nests[cell->axes[t->summary_axis].stack_idx];
- const struct ctables_summary_spec_set *specs = &nest->specs[cell->sv];
- for (size_t j = 0; j < specs->n; j++)
- {
- size_t dindexes[3];
- size_t n_dindexes = 0;
+ ctables_cell_add__ (t, c, ix, cats, d_weight, e_weight);
- for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
- if (d[a])
- {
- int leaf = cell->axes[a].leaf;
- if (a == t->summary_axis)
- leaf += j;
- dindexes[n_dindexes++] = leaf;
- }
-
- double d = ctables_summary_value (cell, &cell->summaries[j], &specs->specs[j]);
- struct pivot_value *value = pivot_value_new_number (d);
- value->numeric.format = specs->specs[j].format;
- pivot_table_put (pt, dindexes, n_dindexes, value);
- }
- }
+ recurse_totals (t, c, ix, cats, d_weight, e_weight, 0, 0);
+ recurse_subtotals (t, c, ix, cats, d_weight, e_weight, 0, 0);
+}
- pivot_table_submit (pt);
+struct merge_item
+ {
+ const struct ctables_summary_spec_set *set;
+ size_t ofs;
+ };
+
+static int
+merge_item_compare_3way (const struct merge_item *a, const struct merge_item *b)
+{
+ const struct ctables_summary_spec *as = &a->set->specs[a->ofs];
+ const struct ctables_summary_spec *bs = &b->set->specs[b->ofs];
+ if (as->function != bs->function)
+ return as->function > bs->function ? 1 : -1;
+ else if (as->percentile != bs->percentile)
+ return as->percentile < bs->percentile ? 1 : -1;
+ return strcmp (as->label, bs->label);
}
static struct pivot_value *
: pivot_value_new_var_value (var, value));
}
+static struct ctables_value *
+ctables_value_find__ (struct ctables_table *t, const union value *value,
+ int width, unsigned int hash)
+{
+ struct ctables_value *clv;
+ HMAP_FOR_EACH_WITH_HASH (clv, struct ctables_value, node,
+ hash, &t->clabels_values_map)
+ if (value_equal (value, &clv->value, width))
+ return clv;
+ return NULL;
+}
+
+static struct ctables_value *
+ctables_value_find (struct ctables_table *t,
+ const union value *value, int width)
+{
+ return ctables_value_find__ (t, value, width,
+ value_hash (value, width, 0));
+}
+
static void
-ctables_table_output_different_axis (struct ctables *ct, struct ctables_table *t)
+ctables_table_output (struct ctables *ct, struct ctables_table *t)
{
struct pivot_table *pt = pivot_table_create__ (
(t->title
pivot_table_set_caption (
pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
- if (t->summary_axis != t->slabels_axis)
+ bool summary_dimension = (t->summary_axis != t->slabels_axis
+ || (!t->slabels_visible
+ && t->summary_specs.n > 1));
+ if (summary_dimension)
{
struct pivot_dimension *d = pivot_dimension_create (
- pt, t->slabels_axis, N_("Summaries"));
+ pt, t->slabels_axis, N_("Statistics"));
const struct ctables_summary_spec_set *specs = &t->summary_specs;
+ if (!t->slabels_visible)
+ d->hide_all_labels = true;
for (size_t i = 0; i < specs->n; i++)
pivot_category_create_leaf (
d->root, pivot_value_new_text (specs->specs[i].label));
}
- if (t->clabels_example)
+ bool categories_dimension = t->clabels_example != NULL;
+ if (categories_dimension)
{
struct pivot_dimension *d = pivot_dimension_create (
pt, t->label_axis[t->clabels_from_axis],
const struct ctables_categories *c = t->categories[var_get_dict_index (var)];
for (size_t i = 0; i < t->n_clabels_values; i++)
{
- const union value *value = &t->clabels_values[i];
- const struct ctables_category *cat = ctables_categories_match (c, value, var);
- if (!cat)
- {
- /* XXX probably missing */
- continue;
- }
+ const struct ctables_value *value = t->clabels_values[i];
+ const struct ctables_category *cat = ctables_categories_match (c, &value->value, var);
+ assert (cat != NULL);
pivot_category_create_leaf (d->root, ctables_category_create_label (
- cat, t->clabels_example, value));
+ cat, t->clabels_example, &value->value));
}
}
{
struct ctables_cell *cell = sorted[j];
struct ctables_cell *prev = j > 0 ? sorted[j - 1] : NULL;
- const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].stack_idx];
+ const struct ctables_nest *nest = &t->stacks[a].nests[cell->axes[a].nest_idx];
- bool new_subtable = !prev || prev->axes[a].stack_idx != cell->axes[a].stack_idx;
+ bool new_subtable = !prev || prev->axes[a].nest_idx != cell->axes[a].nest_idx;
if (new_subtable)
{
n_levels = 0;
- printf ("%s levels:", pivot_axis_type_to_string (a));
for (size_t k = 0; k < nest->n; k++)
{
enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k])];
if (vlabel != CTVL_NONE)
{
- printf (" var(%s)", var_get_name (nest->vars[k]));
levels[n_levels++] = (struct ctables_level) {
.type = CTL_VAR,
.var_idx = k,
if (nest->scale_idx != k
&& (k != nest->n - 1 || t->label_axis[a] == a))
{
- printf (" category(%s)", var_get_name (nest->vars[k]));
levels[n_levels++] = (struct ctables_level) {
.type = CTL_CATEGORY,
.var_idx = k,
}
}
- if (a == t->slabels_axis && a == t->summary_axis)
+ if (!summary_dimension && a == t->slabels_axis)
{
- printf (" summary");
levels[n_levels++] = (struct ctables_level) {
.type = CTL_SUMMARY,
.var_idx = SIZE_MAX,
};
}
- printf ("\n");
}
size_t n_common = 0;
if (!new_subtable)
{
- for (; n_common < nest->n; n_common++)
+ for (; n_common < n_levels; n_common++)
{
const struct ctables_level *level = &levels[n_common];
if (level->type == CTL_CATEGORY)
{
size_t var_idx = level->var_idx;
- if (prev->axes[a].cvs[var_idx].category
- != cell->axes[a].cvs[var_idx].category
- || !value_equal (&prev->axes[a].cvs[var_idx].value,
- &cell->axes[a].cvs[var_idx].value,
- var_get_type (nest->vars[var_idx])))
+ const struct ctables_category *c = cell->axes[a].cvs[var_idx].category;
+ if (prev->axes[a].cvs[var_idx].category != c)
+ break;
+ else if (c->type != CCT_SUBTOTAL
+ && c->type != CCT_HSUBTOTAL
+ && c->type != CCT_TOTAL
+ && !value_equal (&prev->axes[a].cvs[var_idx].value,
+ &cell->axes[a].cvs[var_idx].value,
+ var_get_type (nest->vars[var_idx])))
break;
}
}
struct pivot_category *parent = k ? groups[k - 1] : d[a]->root;
if (level->type == CTL_SUMMARY)
{
+ assert (k == n_levels - 1);
+
const struct ctables_summary_spec_set *specs = &t->summary_specs;
for (size_t m = 0; m < specs->n; m++)
- pivot_category_create_leaf (
- parent, pivot_value_new_text (specs->specs[m].label));
+ {
+ int leaf = pivot_category_create_leaf (
+ parent, pivot_value_new_text (specs->specs[m].label));
+ if (!m)
+ prev_leaf = leaf;
+ }
}
else
{
NOT_REACHED ();
if (k == n_levels - 1)
- pivot_category_create_leaf (parent, label);
+ prev_leaf = pivot_category_create_leaf (parent, label);
else
groups[k] = pivot_category_create_group__ (parent, label);
}
free (sorted);
free (groups);
}
+
+ struct ctables_cell *cell;
+ HMAP_FOR_EACH (cell, struct ctables_cell, node, &t->cells)
+ {
+ if (cell->hide)
+ continue;
+
+ const struct ctables_nest *specs_nest = &t->stacks[t->summary_axis].nests[cell->axes[t->summary_axis].nest_idx];
+ const struct ctables_summary_spec_set *specs = &specs_nest->specs[cell->sv];
+ for (size_t j = 0; j < specs->n; j++)
+ {
+ size_t dindexes[5];
+ size_t n_dindexes = 0;
+
+ if (summary_dimension)
+ dindexes[n_dindexes++] = specs->specs[j].axis_idx;
+
+ if (categories_dimension)
+ {
+ const struct ctables_nest *clabels_nest = &t->stacks[t->clabels_from_axis].nests[cell->axes[t->clabels_from_axis].nest_idx];
+ const struct variable *var = clabels_nest->vars[clabels_nest->n - 1];
+ const union value *value = &cell->axes[t->clabels_from_axis].cvs[clabels_nest->n - 1].value;
+ const struct ctables_value *ctv = ctables_value_find (t, value, var_get_width (var));
+ assert (ctv != NULL);
+ dindexes[n_dindexes++] = ctv->leaf;
+ }
+
+ for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+ if (d[a])
+ {
+ int leaf = cell->axes[a].leaf;
+ if (a == t->summary_axis && !summary_dimension)
+ leaf += j;
+ dindexes[n_dindexes++] = leaf;
+ }
+
+ double d = ctables_summary_value (cell, &cell->summaries[j], &specs->specs[j]);
+ struct pivot_value *value = pivot_value_new_number (d);
+ value->numeric.format = specs->specs[j].format;
+ pivot_table_put (pt, dindexes, n_dindexes, value);
+ }
+ }
+
pivot_table_submit (pt);
}
+static bool
+ctables_check_label_position (struct ctables_table *t, enum pivot_axis_type a)
+{
+ enum pivot_axis_type label_pos = t->label_axis[a];
+ if (label_pos == a)
+ return true;
+
+ t->clabels_from_axis = a;
+
+ const char *subcommand_name = a == PIVOT_AXIS_ROW ? "ROWLABELS" : "COLLABELS";
+ const char *pos_name = label_pos == PIVOT_AXIS_LAYER ? "LAYER" : "OPPOSITE";
-static void
+ const struct ctables_stack *stack = &t->stacks[a];
+ if (!stack->n)
+ return true;
+
+ const struct ctables_nest *n0 = &stack->nests[0];
+ assert (n0->n > 0);
+ const struct variable *v0 = n0->vars[n0->n - 1];
+ struct ctables_categories *c0 = t->categories[var_get_dict_index (v0)];
+ t->clabels_example = v0;
+
+ for (size_t i = 0; i < c0->n_cats; i++)
+ if (c0->cats[i].type == CCT_FUNCTION)
+ {
+ msg (SE, _("%s=%s is not allowed with sorting based "
+ "on a summary function."),
+ subcommand_name, pos_name);
+ return false;
+ }
+ if (n0->n - 1 == n0->scale_idx)
+ {
+ msg (SE, _("%s=%s requires the variables to be moved to be categorical, "
+ "but %s is a scale variable."),
+ subcommand_name, pos_name, var_get_name (v0));
+ return false;
+ }
+
+ for (size_t i = 1; i < stack->n; i++)
+ {
+ const struct ctables_nest *ni = &stack->nests[i];
+ assert (ni->n > 0);
+ const struct variable *vi = ni->vars[ni->n - 1];
+ struct ctables_categories *ci = t->categories[var_get_dict_index (vi)];
+
+ if (ni->n - 1 == ni->scale_idx)
+ {
+ msg (SE, _("%s=%s requires the variables to be moved to be "
+ "categorical, but %s is a scale variable."),
+ subcommand_name, pos_name, var_get_name (vi));
+ return false;
+ }
+ if (var_get_width (v0) != var_get_width (vi))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same width, but %s has "
+ "width %d and %s has width %d."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_width (v0),
+ var_get_name (vi), var_get_width (vi));
+ return false;
+ }
+ if (!val_labs_equal (var_get_value_labels (v0),
+ var_get_value_labels (vi)))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same value labels, but %s "
+ "and %s have different value labels."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_name (vi));
+ return false;
+ }
+ if (!ctables_categories_equal (c0, ci))
+ {
+ msg (SE, _("%s=%s requires the variables to be "
+ "moved to have the same category "
+ "specifications, but %s and %s have different "
+ "category specifications."),
+ subcommand_name, pos_name,
+ var_get_name (v0), var_get_name (vi));
+ return false;
+ }
+ }
+
+ return true;
+}
+
+static bool
ctables_prepare_table (struct ctables_table *t)
{
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
}
}
#endif
+
+ return (ctables_check_label_position (t, PIVOT_AXIS_ROW)
+ && ctables_check_label_position (t, PIVOT_AXIS_COLUMN));
}
static void
for (size_t i = 0; i < stack->n; i++)
{
const struct ctables_nest *nest = &stack->nests[i];
- const struct variable *v = nest->vars[nest->n - 1];
- int width = var_get_width (v);
- const union value *value = case_data (c, v);
- unsigned int hash = value_hash (value, width, 0);
+ const struct variable *var = nest->vars[nest->n - 1];
+ int width = var_get_width (var);
+ const union value *value = case_data (c, var);
+
+ if (var_is_numeric (var) && value->f == SYSMIS)
+ continue;
- struct ctables_value *clv;
- HMAP_FOR_EACH_WITH_HASH (clv, struct ctables_value, node, hash,
- &t->clabels_values_map)
- if (value_equal (value, &clv->value, width))
- goto next_stack;
+ if (!ctables_categories_match (t->categories [var_get_dict_index (var)],
+ value, var))
+ continue;
- clv = xmalloc (sizeof *clv);
- value_clone (&clv->value, value, width);
- hmap_insert (&t->clabels_values_map, &clv->node, hash);
+ unsigned int hash = value_hash (value, width, 0);
- next_stack: ;
+ struct ctables_value *clv = ctables_value_find__ (t, value, width, hash);
+ if (!clv)
+ {
+ clv = xmalloc (sizeof *clv);
+ value_clone (&clv->value, value, width);
+ hmap_insert (&t->clabels_values_map, &clv->node, hash);
+ }
}
}
static int
compare_clabels_values_3way (const void *a_, const void *b_, const void *width_)
{
- const union value *a = a_;
- const union value *b = b_;
+ const struct ctables_value *const *ap = a_;
+ const struct ctables_value *const *bp = b_;
+ const struct ctables_value *a = *ap;
+ const struct ctables_value *b = *bp;
const int *width = width_;
- return value_compare_3way (a, b, *width);
+ return value_compare_3way (&a->value, &b->value, *width);
}
static void
size_t n = hmap_count (&t->clabels_values_map);
t->clabels_values = xnmalloc (n, sizeof *t->clabels_values);
- const struct ctables_value *clv;
+ struct ctables_value *clv;
size_t i = 0;
HMAP_FOR_EACH (clv, struct ctables_value, node, &t->clabels_values_map)
- t->clabels_values[i++] = clv->value;
+ t->clabels_values[i++] = clv;
t->n_clabels_values = n;
assert (i == n);
sort (t->clabels_values, n, sizeof *t->clabels_values,
compare_clabels_values_3way, &width);
+
+ for (size_t i = 0; i < n; i++)
+ t->clabels_values[i]->leaf = i;
}
static bool
ctables_execute (struct dataset *ds, struct ctables *ct)
{
- struct casereader *input = casereader_create_filter_weight (proc_open (ds),
- dataset_dict (ds),
- NULL, NULL);
+ struct casereader *input = proc_open (ds);
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;
+ double d_weight = dict_get_case_weight (dataset_dict (ds), c,
+ &warn_on_invalid);
+ double e_weight = (ct->e_weight
+ ? var_force_valid_weight (ct->e_weight,
+ case_num (c, ct->e_weight),
+ &warn_on_invalid)
+ : d_weight);
for (size_t i = 0; i < ct->n_tables; i++)
{
for (size_t ir = 0; ir < t->stacks[PIVOT_AXIS_ROW].n; ir++)
for (size_t ic = 0; ic < t->stacks[PIVOT_AXIS_COLUMN].n; ic++)
for (size_t il = 0; il < t->stacks[PIVOT_AXIS_LAYER].n; il++)
- ctables_cell_insert (t, c, ir, ic, il, weight);
+ {
+ size_t ix[PIVOT_N_AXES] = {
+ [PIVOT_AXIS_ROW] = ir,
+ [PIVOT_AXIS_COLUMN] = ic,
+ [PIVOT_AXIS_LAYER] = il,
+ };
+
+ ctables_cell_insert (t, c, ix, d_weight, e_weight);
+ }
for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
if (t->label_axis[a] != a)
if (t->clabels_example)
ctables_sort_clabels_values (t);
- if (t->summary_axis == t->slabels_axis)
- ctables_table_output_same_axis (ct, ct->tables[i]);
- else
- ctables_table_output_different_axis (ct, ct->tables[i]);
+ ctables_table_output (ct, ct->tables[i]);
}
return proc_commit (ds);
}
-static bool
-ctables_check_label_position (struct ctables_table *t, enum pivot_axis_type a)
-{
- enum pivot_axis_type label_pos = t->label_axis[a];
- if (label_pos == a)
- return true;
-
- t->clabels_from_axis = a;
-
- const char *subcommand_name = a == PIVOT_AXIS_ROW ? "ROWLABELS" : "COLLABELS";
- const char *pos_name = label_pos == PIVOT_AXIS_LAYER ? "LAYER" : "OPPOSITE";
-
- const struct ctables_stack *stack = &t->stacks[a];
- if (!stack->n)
- return true;
-
- const struct ctables_nest *n0 = &stack->nests[0];
- assert (n0->n > 0);
- const struct variable *v0 = n0->vars[n0->n - 1];
- struct ctables_categories *c0 = t->categories[var_get_dict_index (v0)];
- t->clabels_example = v0;
-
- for (size_t i = 0; i < c0->n_cats; i++)
- if (c0->cats[i].type == CCT_FUNCTION)
- {
- msg (SE, _("%s=%s is not allowed with sorting based "
- "on a summary function."),
- subcommand_name, pos_name);
- return false;
- }
- if (n0->n - 1 == n0->scale_idx)
- {
- msg (SE, _("%s=%s requires the variables to be moved to be categorical, "
- "but %s is a scale variable."),
- subcommand_name, pos_name, var_get_name (v0));
- return false;
- }
-
- for (size_t i = 1; i < stack->n; i++)
- {
- const struct ctables_nest *ni = &stack->nests[i];
- assert (ni->n > 0);
- const struct variable *vi = ni->vars[ni->n - 1];
- struct ctables_categories *ci = t->categories[var_get_dict_index (vi)];
-
- if (ni->n - 1 == ni->scale_idx)
- {
- msg (SE, _("%s=%s requires the variables to be moved to be "
- "categorical, but %s is a scale variable."),
- subcommand_name, pos_name, var_get_name (vi));
- return false;
- }
- if (var_get_width (v0) != var_get_width (vi))
- {
- msg (SE, _("%s=%s requires the variables to be "
- "moved to have the same width, but %s has "
- "width %d and %s has width %d."),
- subcommand_name, pos_name,
- var_get_name (v0), var_get_width (v0),
- var_get_name (vi), var_get_width (vi));
- return false;
- }
- if (!val_labs_equal (var_get_value_labels (v0),
- var_get_value_labels (vi)))
- {
- msg (SE, _("%s=%s requires the variables to be "
- "moved to have the same value labels, but %s "
- "and %s have different value labels."),
- subcommand_name, pos_name,
- var_get_name (v0), var_get_name (vi));
- return false;
- }
- if (!ctables_categories_equal (c0, ci))
- {
- msg (SE, _("%s=%s requires the variables to be "
- "moved to have the same category "
- "specifications, but %s and %s have different "
- "category specifications."),
- subcommand_name, pos_name,
- var_get_name (v0), var_get_name (vi));
- return false;
- }
- }
-
- return true;
-}
-
int
cmd_ctables (struct lexer *lexer, struct dataset *ds)
{
if (!lex_force_match_id (lexer, "VARIABLE"))
goto error;
lex_match (lexer, T_EQUALS);
- ct->base_weight = parse_variable (lexer, dataset_dict (ds));
- if (!ct->base_weight)
+ ct->e_weight = parse_variable (lexer, dataset_dict (ds));
+ if (!ct->e_weight)
goto error;
}
else if (lex_match_id (lexer, "HIDESMALLCOUNTS"))
}
if (lex_token (lexer) == T_ENDCMD)
- break;
+ {
+ if (!ctables_prepare_table (t))
+ goto error;
+ break;
+ }
if (!lex_force_match (lexer, T_SLASH))
break;
goto error;
}
- ctables_prepare_table (t);
-
- ctables_check_label_position (t, PIVOT_AXIS_ROW);
- ctables_check_label_position (t, PIVOT_AXIS_COLUMN);
+ if (!ctables_prepare_table (t))
+ goto error;
}
while (lex_token (lexer) != T_ENDCMD);
projects / pspp / blobdiff