X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fctables.c;h=4f23b3607d46aab491e832c407bc1a00ad8a40cd;hb=b4ded33443bdf2fa31ed014480e505f1137237f5;hp=7023c05adbedaf01e8ae62c8ad13041edebd3340;hpb=bb02967c642e72d0cb304c480beb7b07b4d6fe35;p=pspp diff --git a/src/language/stats/ctables.c b/src/language/stats/ctables.c index 7023c05adb..4f23b3607d 100644 --- a/src/language/stats/ctables.c +++ b/src/language/stats/ctables.c @@ -28,6 +28,7 @@ #include "language/lexer/variable-parser.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" @@ -163,7 +164,7 @@ struct ctables struct variable *base_weight; /* WEIGHT. */ int hide_threshold; /* HIDESMALLCOUNTS. */ - struct ctables_table *tables; + struct ctables_table **tables; size_t n_tables; }; @@ -221,9 +222,28 @@ enum ctables_label_position CTLP_LAYER, }; +struct var_array + { + struct variable **vars; + size_t n; + + 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 ft; enum pivot_axis_type slabels_position; bool slabels_visible; @@ -244,8 +264,6 @@ struct ctables_table struct ctables_chisq *chisq; struct ctables_pairwise *pairwise; - struct ctables_freqtab **fts; - size_t n_fts; }; struct ctables_var @@ -602,6 +620,21 @@ ctables_summary_default_format (enum ctables_summary_function function, } } +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) { @@ -778,17 +811,8 @@ ctables_axis_parse_postfix (struct ctables_axis_parse_ctx *ctx) 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; @@ -971,7 +995,7 @@ ctables_pairwise_destroy (struct ctables_pairwise *pairwise) } static void -ctables_table_uninit (struct ctables_table *t) +ctables_table_destroy (struct ctables_table *t) { if (!t) return; @@ -988,6 +1012,7 @@ ctables_table_uninit (struct ctables_table *t) free (t->title); ctables_chisq_destroy (t->chisq); ctables_pairwise_destroy (t->pairwise); + free (t); } static void @@ -1001,7 +1026,7 @@ ctables_destroy (struct ctables *ct) 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); } @@ -1241,13 +1266,6 @@ ctables_table_parse_categories (struct lexer *lexer, struct dictionary *dict, return true; } -struct var_array - { - const struct ctables_axis *summary; - struct variable **vars; - size_t n; - }; - static void var_array_uninit (struct var_array *va) { @@ -1255,12 +1273,6 @@ 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) { @@ -1289,6 +1301,7 @@ nest_fts (struct var_array2 va0, struct var_array2 va1) 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 < a->n; k++) vars[n++] = a->vars[k]; @@ -1296,11 +1309,19 @@ nest_fts (struct var_array2 va0, struct var_array2 va1) vars[n++] = b->vars[k]; assert (n == allocate); - assert (!(a->summary && b->summary)); + 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) { - .summary = a->summary ? a->summary : b->summary, .vars = vars, - .n = n + .n = n, + .summaries = summary_src->summaries, + .n_summaries = summary_src->n_summaries, + .summary_var = summary_src->summary_var, }; } var_array2_uninit (&va0); @@ -1323,7 +1344,7 @@ stack_fts (struct var_array2 va0, struct var_array2 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 }; @@ -1337,20 +1358,27 @@ enumerate_fts (const struct ctables_axis *a) *va = (struct var_array) { .n = 0 }; else { - struct variable **v = xmalloc (sizeof *v); - *v = a->var.var; - *va = (struct var_array) { .vars = v, .n = 1 }; + struct variable **vars = xmalloc (sizeof *vars); + *vars = a->var.var; + enum pivot_axis_type *axes = xmalloc (sizeof *axes); + *axes = axis_type; + *va = (struct var_array) { .vars = vars, .n = 1 }; + } + if (a->n_summaries || a->scale) + { + va->summaries = a->summaries; + va->n_summaries = a->n_summaries; + va->summary_var = a->var.var; } - va->summary = a->scale || a->n_summaries ? a : NULL; 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 (); @@ -1378,6 +1406,7 @@ union ctables_summary /* XXX percentiles, median, mode, multiple response */ }; +#if 0 static void ctables_summary_init (union ctables_summary *s, const struct ctables_summary_spec *ss) @@ -1655,7 +1684,6 @@ ctables_summary_add (union ctables_summary *s, } } - static double ctables_summary_value (union ctables_summary *s, const struct ctables_summary_spec *ss) @@ -1783,24 +1811,25 @@ ctables_summary_value (union ctables_summary *s, NOT_REACHED (); } +#endif struct ctables_freq { struct hmap_node node; /* Element in hash table. */ - union ctables_summary *summaries; - union value values[]; /* The value. */ - }; -struct ctables_freqtab - { - struct var_array vars; - struct hmap data; /* Contains "struct ctables_freq"s. */ - const struct ctables_summary_spec *summaries; - size_t n_summaries; - const struct variable *summary_var; - struct ctables_freq **sorted; + struct + { + size_t vaa_idx; + union value *values; + int leaf; + } + axes[PIVOT_N_AXES]; + + //union ctables_summary *summaries; + double count; }; +#if 0 static struct ctables_freq * ctables_freq_create (struct ctables_freqtab *ft) { @@ -1820,96 +1849,154 @@ ctables_freq_add (struct ctables_freqtab *ft, struct ctables_freq *f, ctables_summary_add (&f->summaries[i], &ft->summaries[i], var, value, weight); } +#endif + +struct ctables_freq_sort_aux + { + const struct ctables_table *t; + enum pivot_axis_type a; + }; static int -ctables_freq_compare_3way (const void *a_, const void *b_, const void *vars_) +ctables_freq_compare_3way (const void *a_, const void *b_, const void *aux_) { - const struct var_array *vars = vars_; - struct ctables_freq *const *a = a_; - struct ctables_freq *const *b = b_; - - for (size_t i = 0; i < vars->n; i++) + const struct ctables_freq_sort_aux *aux = aux_; + struct ctables_freq *const *ap = a_; + struct ctables_freq *const *bp = b_; + const struct ctables_freq *a = *ap; + const struct ctables_freq *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++) { - int cmp = value_compare_3way (&(*a)->values[i], &(*b)->values[i], - var_get_width (vars->vars[i])); + int cmp = value_compare_3way (&a->axes[aux->a].values[i], + &b->axes[aux->a].values[i], + var_get_width (va->vars[i])); if (cmp) return cmp; } return 0; } +/* 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 void +ctables_freqtab_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, + }; + + 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++) + hash = value_hash (case_data (c, va->vars[i]), + var_get_width (va->vars[i]), hash); + } + + struct ctables_freq *f; + HMAP_FOR_EACH_WITH_HASH (f, struct ctables_freq, node, hash, &t->ft) + { + 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 (!value_equal (case_data (c, va->vars[i]), + &f->axes[a].values[i], + var_get_width (va->vars[i]))) + goto not_equal; + } + + f->count += weight; + return; + + 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].values = (va->n + ? xnmalloc (va->n, sizeof *f->axes[a].values) + : NULL); + for (size_t i = 0; i < va->n; i++) + value_clone (&f->axes[a].values[i], case_data (c, va->vars[i]), + var_get_width (va->vars[i])); + } + f->count = weight; + hmap_insert (&t->ft, &f->node, hash); +} + static bool ctables_execute (struct dataset *ds, struct ctables *ct) { for (size_t i = 0; i < ct->n_tables; i++) { - size_t allocated_fts = 0; + 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]); + else + { + struct var_array *va = xmalloc (sizeof *va); + *va = (struct var_array) { .n = 0 }; + t->vaas[a] = (struct var_array2) { .vas = va, .n = 1 }; + } - 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++) + for (size_t i = 0; i < t->vaas[t->summary_axis].n; i++) { - for (size_t j = 0; j < vaa.vas[i].n; j++) + struct var_array *va = &t->vaas[t->summary_axis].vas[i]; + if (!va->n_summaries) { - if (j) - fputs (", ", stdout); - fputs (var_get_name (vaa.vas[i].vars[j]), stdout); - } - putchar ('\n'); - } + va->summaries = xmalloc (sizeof *va->summaries); + va->n_summaries = 1; - for (size_t j = 0; j < vaa.n; j++) - { - const struct var_array *va = &vaa.vas[j]; - const struct ctables_summary_spec *summaries; - size_t n_summaries; - const struct variable *summary_var; - if (!va->summary) - { - static const struct ctables_summary_spec count = { - .function = CTSF_COUNT, - .label = (char *) N_("Count"), - .format = { .type = FMT_F, .w = 40 }, + 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), }; - summaries = &count; - n_summaries = 1; - summary_var = va->vars[0]; - } - else if (va->summary->n_summaries) - { - summaries = va->summary->summaries; - n_summaries = va->summary->n_summaries; - summary_var = va->summary->var.var; + if (!va->summary_var) + va->summary_var = va->vars[0]; } - else - { - static const struct ctables_summary_spec mean = { - .function = CTSF_MEAN, - .label = (char *) N_("Mean"), - .format = { .type = FMT_F, .w = 40, .d = 2}, /* XXX */ - }; - summaries = &mean; - n_summaries = 1; - summary_var = va->summary->var.var; - }; - - struct ctables_freqtab *ft = xmalloc (sizeof *ft); - *ft = (struct ctables_freqtab) { - .vars = *va, - .summaries = summaries, - .n_summaries = n_summaries, - .summary_var = summary_var, - .data = HMAP_INITIALIZER (ft->data), - }; - - if (t->n_fts >= allocated_fts) - t->fts = x2nrealloc (t->fts, &allocated_fts, sizeof *t->fts); - t->fts[t->n_fts++] = ft; } - - free (vaa.vas); } struct casereader *input = casereader_create_filter_weight (proc_open (ds), @@ -1924,144 +2011,154 @@ 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 (size_t j = 0; j < t->n_fts; j++) - { - struct ctables_freqtab *ft = t->fts[j]; - - for (size_t k = 0; k < ft->vars.n; k++) - { - const struct variable *var = ft->vars.vars[k]; - switch (var_is_value_missing (var, case_data (c, var))) - { - 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; - } - } - 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); - } - - struct ctables_freq *f; - HMAP_FOR_EACH_WITH_HASH (f, struct ctables_freq, node, hash, &ft->data) - { - 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; - } - goto found; - - next_hash_node: ; - } - - f = ctables_freq_create (ft); - for (size_t k = 0; k < ft->vars.n; k++) - { - const struct variable *var = ft->vars.vars[k]; - value_clone (&f->values[k], case_data (c, var), - var_get_width (var)); - } - hmap_insert (&ft->data, &f->node, hash); - - found: - ctables_freq_add (ft, f, ft->summary_var, - case_data (c, ft->summary_var), weight); + struct ctables_table *t = ct->tables[i]; - next_ft: ; - } + 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_freqtab_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 ctables_table *t = ct->tables[i]; 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++) + 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++) { - struct ctables_freqtab *ft = t->fts[j]; - ft->sorted = xnmalloc (ft->data.count, sizeof *ft->sorted); + 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_freq **sorted = xnmalloc (t->ft.count, sizeof *sorted); struct ctables_freq *f; size_t n = 0; - HMAP_FOR_EACH (f, struct ctables_freq, node, &ft->data) - ft->sorted[n++] = f; - assert (n == ft->data.count); - sort (ft->sorted, n, sizeof *ft->sorted, - ctables_freq_compare_3way, &ft->vars); - - struct pivot_category **groups = xnmalloc (ft->vars.n, - sizeof *groups); - for (size_t k = 0; k < n; k++) + HMAP_FOR_EACH (f, struct ctables_freq, node, &t->ft) + sorted[n++] = f; + assert (n == t->ft.count); + + struct ctables_freq_sort_aux aux = { .t = t, .a = a }; + sort (sorted, n, sizeof *sorted, ctables_freq_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_freq *prev = k > 0 ? ft->sorted[k - 1] : NULL; - struct ctables_freq *f = ft->sorted[k]; + struct ctables_freq *f = sorted[j]; + const struct var_array *va = &t->vaas[a].vas[f->axes[a].vaa_idx]; 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 < ft->vars.n; m++) + bool new_subtable = false; + if (j > 0) { - struct pivot_category *parent = m > 0 ? groups[m - 1] : d->root; - const struct variable *var = ft->vars.vars[m]; - enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (var)]; + struct ctables_freq *prev = sorted[j - 1]; + if (prev->axes[a].vaa_idx == f->axes[a].vaa_idx) + { + for (; n_common < va->n; n_common++) + if (!value_equal (&prev->axes[a].values[n_common], + &f->axes[a].values[n_common], + var_get_type (va->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 (va->vars[0])]; + top = d[a]->root; if (vlabel != CTVL_NONE) - parent = pivot_category_create_group__ ( - parent, pivot_value_new_variable (ft->vars.vars[m])); + top = pivot_category_create_group__ ( + top, pivot_value_new_variable (va->vars[0])); + } + if (n_common == va->n) + { + f->axes[a].leaf = prev_leaf; + continue; + } - if (m + 1 < ft->vars.n) - parent = pivot_category_create_group__ ( - parent, - pivot_value_new_var_value (ft->vars.vars[m], &f->values[m])); - groups[m] = parent; + for (size_t k = n_common; k < va->n; k++) + { + struct pivot_category *parent = k > 0 ? groups[k - 1] : top; + + struct pivot_value *label = pivot_value_new_var_value ( + va->vars[k], &f->axes[a].values[k]); - if (m == ft->vars.n - 1) + if (k == va->n - 1) { - struct pivot_category *c = pivot_category_create_group__ ( - parent, - pivot_value_new_var_value (ft->vars.vars[ft->vars.n - 1], - &f->values[ft->vars.n - 1])); - for (size_t p = 0; p < ft->n_summaries; p++) + if (a == t->summary_axis) { - double value = ctables_summary_value ( - &f->summaries[p], &ft->summaries[p]); - int leaf = pivot_category_create_leaf ( - c, pivot_value_new_text (ft->summaries[p].label)); - pivot_table_put1 (pt, leaf, pivot_value_new_number (value)); + 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 + prev_leaf = pivot_category_create_leaf (parent, label); + break; } + + parent = pivot_category_create_group__ (parent, label); + + 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 (va->vars[k + 1])); + groups[k] = parent; } + + f->axes[a].leaf = prev_leaf; } + free (sorted); free (groups); } + struct ctables_freq *f; + HMAP_FOR_EACH (f, struct ctables_freq, node, &t->ft) + { + size_t dindexes[3]; + size_t n_dindexes = 0; + + for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++) + if (d[a]) + dindexes[n_dindexes++] = f->axes[a].leaf; + pivot_table_put (pt, dindexes, n_dindexes, + pivot_value_new_number (f->count)); + } + pivot_table_submit (pt); } +#if 0 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++) { @@ -2081,13 +2178,13 @@ ctables_execute (struct dataset *ds, struct ctables *ct) free (f); } hmap_destroy (&ft->data); - free (ft->sorted); var_array_uninit (&ft->vars); free (ft); } free (t->fts); } - +#endif + return proc_commit (ds); } @@ -2107,6 +2204,7 @@ cmd_ctables (struct lexer *lexer, struct dataset *ds) .vlabels = vlabels, .hide_threshold = 5, }; + ct->look->omit_empty = false; if (!lex_force_match (lexer, T_SLASH)) goto error; @@ -2302,8 +2400,9 @@ cmd_ctables (struct lexer *lexer, struct dataset *ds) ct->tables = x2nrealloc (ct->tables, &allocated_tables, sizeof *ct->tables); - struct ctables_table *t = &ct->tables[ct->n_tables++]; + struct ctables_table *t = xmalloc (sizeof *t); *t = (struct ctables_table) { + .ft = HMAP_INITIALIZER (t->ft), .slabels_position = PIVOT_AXIS_COLUMN, .slabels_visible = true, .row_labels = CTLP_NORMAL, @@ -2313,6 +2412,7 @@ cmd_ctables (struct lexer *lexer, struct dataset *ds) .n_categories = dict_get_n_vars (dataset_dict (ds)), .cilevel = 95, }; + ct->tables[ct->n_tables++] = t; lex_match (lexer, T_EQUALS); if (!ctables_axis_parse (lexer, dataset_dict (ds), ct, t, PIVOT_AXIS_ROW)) @@ -2340,27 +2440,58 @@ cmd_ctables (struct lexer *lexer, struct dataset *ds) 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; if (!lex_force_match (lexer, T_SLASH))