/* PSPP - computes sample statistics.
Copyright (C) 1997-9, 2000 Free Software Foundation, Inc.
- Written by Ben Pfaff <blp@gnu.org>.
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License as
#include <gsl/gsl_histogram.h>
#include <data/case.h>
+#include <data/casegrouper.h>
+#include <data/casereader.h>
#include <data/dictionary.h>
+#include <data/format.h>
#include <data/procedure.h>
#include <data/settings.h>
#include <data/value-labels.h>
#include <libpspp/hash.h>
#include <libpspp/magic.h>
#include <libpspp/message.h>
-#include <libpspp/message.h>
#include <libpspp/misc.h>
#include <libpspp/pool.h>
#include <libpspp/str.h>
#include <output/output.h>
#include <output/table.h>
+#include "freq.h"
+
#include "minmax.h"
#include "gettext.h"
};
/* Table of statistics, indexed by dsc_*. */
-static struct frq_info st_name[frq_n_stats + 1] =
+static const struct frq_info st_name[frq_n_stats + 1] =
{
{FRQ_ST_MEAN, N_("Mean")},
{FRQ_ST_SEMEAN, N_("S.E. Mean")},
/* Variables for which to calculate statistics. */
static size_t n_variables;
-static struct variable **v_variables;
+static const struct variable **v_variables;
/* Arenas used to store semi-permanent storage. */
static struct pool *int_pool; /* Integer mode. */
/* Frequency tables. */
-/* Frequency table entry. */
-struct freq
- {
- union value *v; /* The value. */
- double c; /* The number of occurrences of the value. */
- };
-
/* Types of frequency tables. */
enum
{
};
static inline struct var_freqs *
-get_var_freqs (struct variable *v)
+get_var_freqs (const struct variable *v)
{
- assert (v != NULL);
- assert (v->aux != NULL);
- return v->aux;
+ return var_get_aux (v);
}
static void determine_charts (void);
-static void calc_stats (struct variable *v, double d[frq_n_stats]);
+static void calc_stats (const struct variable *v, double d[frq_n_stats]);
-static void precalc (const struct ccase *, void *);
-static bool calc (const struct ccase *, void *);
-static void postcalc (void *);
+static void precalc (struct casereader *, struct dataset *);
+static void calc (const struct ccase *, const struct dataset *);
+static void postcalc (void);
-static void postprocess_freq_tab (struct variable *);
-static void dump_full (struct variable *);
-static void dump_condensed (struct variable *);
-static void dump_statistics (struct variable *, int show_varname);
-static void cleanup_freq_tab (struct variable *);
+static void postprocess_freq_tab (const struct variable *);
+static void dump_full (const struct variable *);
+static void dump_condensed (const struct variable *);
+static void dump_statistics (const struct variable *, int show_varname);
+static void cleanup_freq_tab (const struct variable *);
-static hsh_hash_func hash_value_numeric, hash_value_alpha;
static hsh_compare_func compare_value_numeric_a, compare_value_alpha_a;
static hsh_compare_func compare_value_numeric_d, compare_value_alpha_d;
static hsh_compare_func compare_freq_numeric_a, compare_freq_alpha_a;
\f
/* Parser and outline. */
-static int internal_cmd_frequencies (void);
+static int internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds);
int
-cmd_frequencies (void)
+cmd_frequencies (struct lexer *lexer, struct dataset *ds)
{
int result;
int_pool = pool_create ();
- result = internal_cmd_frequencies ();
+ result = internal_cmd_frequencies (lexer, ds);
pool_destroy (int_pool);
int_pool=0;
pool_destroy (gen_pool);
}
static int
-internal_cmd_frequencies (void)
+internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds)
{
- int i;
+ struct casegrouper *grouper;
+ struct casereader *input, *group;
bool ok;
+ int i;
n_percentiles = 0;
percentiles = NULL;
n_variables = 0;
v_variables = NULL;
- if (!parse_frequencies (&cmd, NULL))
+ if (!parse_frequencies (lexer, ds, &cmd, NULL))
return CMD_FAILURE;
if (cmd.onepage_limit == NOT_LONG)
int pl;
subc_list_double *ptl_list = &cmd.dl_percentiles[i];
for ( pl = 0 ; pl < subc_list_double_count(ptl_list); ++pl)
- add_percentile(subc_list_double_at(ptl_list,pl) / 100.0 );
+ add_percentile (subc_list_double_at(ptl_list, pl) / 100.0 );
}
}
if ( cmd.sbc_ntiles )
{
int j;
for (j = 0; j <= cmd.n_ntiles[i]; ++j )
- add_percentile(j / (double) cmd.n_ntiles[i]);
+ add_percentile (j / (double) cmd.n_ntiles[i]);
}
}
/* Do it! */
- ok = procedure_with_splits (precalc, calc, postcalc, NULL);
+ input = casereader_create_filter_weight (proc_open (ds), dataset_dict (ds),
+ NULL, NULL);
+ grouper = casegrouper_create_splits (input, dataset_dict (ds));
+ for (; casegrouper_get_next_group (grouper, &group);
+ casereader_destroy (group))
+ {
+ struct ccase c;
+
+ precalc (group, ds);
+ for (; casereader_read (group, &c); case_destroy (&c))
+ calc (&c, ds);
+ postcalc ();
+ }
+ ok = casegrouper_destroy (grouper);
+ ok = proc_commit (ds) && ok;
free_frequencies(&cmd);
}
/* Add data from case C to the frequency table. */
-static bool
-calc (const struct ccase *c, void *aux UNUSED)
+static void
+calc (const struct ccase *c, const struct dataset *ds)
{
- double weight;
+ double weight = dict_get_case_weight (dataset_dict (ds), c, NULL);
size_t i;
- bool bad_warn = true;
-
- weight = dict_get_case_weight (default_dict, c, &bad_warn);
for (i = 0; i < n_variables; i++)
{
- struct variable *v = v_variables[i];
- const union value *val = case_data (c, v->fv);
+ const struct variable *v = v_variables[i];
+ const union value *val = case_data (c, v);
struct var_freqs *vf = get_var_freqs (v);
struct freq_tab *ft = &vf->tab;
struct freq target;
struct freq **fpp;
- target.v = (union value *) val;
+ target.value = (union value *) val;
fpp = (struct freq **) hsh_probe (ft->data, &target);
if (*fpp != NULL)
- (*fpp)->c += weight;
+ (*fpp)->count += weight;
else
{
struct freq *fp = pool_alloc (gen_pool, sizeof *fp);
- fp->c = weight;
- fp->v = pool_clone (gen_pool,
- val, MAX (MAX_SHORT_STRING, vf->width));
+ fp->count = weight;
+ fp->value = pool_clone (gen_pool,
+ val,
+ MAX (MAX_SHORT_STRING, vf->width));
*fpp = fp;
}
}
NOT_REACHED ();
}
}
- return true;
}
/* Prepares each variable that is the target of FREQUENCIES by setting
up its hash table. */
static void
-precalc (const struct ccase *first, void *aux UNUSED)
+precalc (struct casereader *input, struct dataset *ds)
{
+ struct ccase c;
size_t i;
- output_split_file_values (first);
+ if (!casereader_peek (input, 0, &c))
+ return;
+ output_split_file_values (ds, &c);
+ case_destroy (&c);
pool_destroy (gen_pool);
gen_pool = pool_create ();
for (i = 0; i < n_variables; i++)
{
- struct variable *v = v_variables[i];
+ const struct variable *v = v_variables[i];
struct freq_tab *ft = &get_var_freqs (v)->tab;
if (ft->mode == FRQM_GENERAL)
{
- hsh_hash_func *hash;
- hsh_compare_func *compare;
-
- if (v->type == NUMERIC)
- {
- hash = hash_value_numeric;
- compare = compare_value_numeric_a;
- }
- else
- {
- hash = hash_value_alpha;
- compare = compare_value_alpha_a;
- }
- ft->data = hsh_create (16, compare, hash, NULL, v);
+ ft->data = hsh_create (16, compare_freq, hash_freq, NULL, v);
}
else
{
/* Finishes up with the variables after frequencies have been
calculated. Displays statistics, percentiles, ... */
static void
-postcalc (void *aux UNUSED)
+postcalc (void)
{
size_t i;
for (i = 0; i < n_variables; i++)
{
- struct variable *v = v_variables[i];
+ const struct variable *v = v_variables[i];
struct var_freqs *vf = get_var_freqs (v);
struct freq_tab *ft = &vf->tab;
int n_categories;
norm.N = vf->tab.valid_cases;
- calc_stats(v,d);
+ calc_stats (v, d);
norm.mean = d[frq_mean];
norm.stddev = d[frq_stddev];
sorting a frequency table by FRQ_SORT using VAR_TYPE
variables. */
static hsh_compare_func *
-get_freq_comparator (int frq_sort, int var_type)
+get_freq_comparator (int frq_sort, enum var_type var_type)
{
- /* Note that q2c generates tags beginning with 1000. */
- switch (frq_sort | (var_type << 16))
+ bool is_numeric = var_type == VAR_NUMERIC;
+ switch (frq_sort)
{
- case FRQ_AVALUE | (NUMERIC << 16): return compare_value_numeric_a;
- case FRQ_AVALUE | (ALPHA << 16): return compare_value_alpha_a;
- case FRQ_DVALUE | (NUMERIC << 16): return compare_value_numeric_d;
- case FRQ_DVALUE | (ALPHA << 16): return compare_value_alpha_d;
- case FRQ_AFREQ | (NUMERIC << 16): return compare_freq_numeric_a;
- case FRQ_AFREQ | (ALPHA << 16): return compare_freq_alpha_a;
- case FRQ_DFREQ | (NUMERIC << 16): return compare_freq_numeric_d;
- case FRQ_DFREQ | (ALPHA << 16): return compare_freq_alpha_d;
- default: NOT_REACHED ();
+ case FRQ_AVALUE:
+ return is_numeric ? compare_value_numeric_a : compare_value_alpha_a;
+ case FRQ_DVALUE:
+ return is_numeric ? compare_value_numeric_d : compare_value_alpha_d;
+ case FRQ_AFREQ:
+ return is_numeric ? compare_freq_numeric_a : compare_freq_alpha_a;
+ case FRQ_DFREQ:
+ return is_numeric ? compare_freq_numeric_d : compare_freq_alpha_d;
+ default:
+ NOT_REACHED ();
}
-
- return 0;
}
/* Returns true iff the value in struct freq F is non-missing
for variable V. */
static bool
-not_missing (const void *f_, void *v_)
+not_missing (const void *f_, const void *v_)
{
const struct freq *f = f_;
- struct variable *v = v_;
+ const struct variable *v = v_;
- return !mv_is_value_missing (&v->miss, f->v);
+ return !var_is_value_missing (v, f->value, MV_ANY);
}
/* Summarizes the frequency table data for variable V. */
static void
-postprocess_freq_tab (struct variable *v)
+postprocess_freq_tab (const struct variable *v)
{
hsh_compare_func *compare;
struct freq_tab *ft;
ft = &get_var_freqs (v)->tab;
assert (ft->mode == FRQM_GENERAL);
- compare = get_freq_comparator (cmd.sort, v->type);
+ compare = get_freq_comparator (cmd.sort, var_get_type (v));
/* Extract data from hash table. */
count = hsh_count (ft->data);
for(i = 0 ; i < ft->n_valid ; ++i )
{
f = &ft->valid[i];
- ft->valid_cases += f->c;
+ ft->valid_cases += f->count;
}
for(i = 0 ; i < ft->n_missing ; ++i )
{
f = &ft->missing[i];
- ft->total_cases += f->c;
+ ft->total_cases += f->count;
}
}
/* Frees the frequency table for variable V. */
static void
-cleanup_freq_tab (struct variable *v)
+cleanup_freq_tab (const struct variable *v)
{
struct freq_tab *ft = &get_var_freqs (v)->tab;
assert (ft->mode == FRQM_GENERAL);
/* Parses the VARIABLES subcommand, adding to
{n_variables,v_variables}. */
static int
-frq_custom_variables (struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
+frq_custom_variables (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
{
int mode;
int min = 0, max = 0;
size_t old_n_variables = n_variables;
size_t i;
- lex_match ('=');
- if (token != T_ALL && (token != T_ID
- || dict_lookup_var (default_dict, tokid) == NULL))
+ lex_match (lexer, '=');
+ if (lex_token (lexer) != T_ALL && (lex_token (lexer) != T_ID
+ || dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) == NULL))
return 2;
- if (!parse_variables (default_dict, &v_variables, &n_variables,
+ if (!parse_variables_const (lexer, dataset_dict (ds), &v_variables, &n_variables,
PV_APPEND | PV_NO_SCRATCH))
return 0;
- if (!lex_match ('('))
+ if (!lex_match (lexer, '('))
mode = FRQM_GENERAL;
else
{
mode = FRQM_INTEGER;
- if (!lex_force_int ())
+ if (!lex_force_int (lexer))
return 0;
- min = lex_integer ();
- lex_get ();
- if (!lex_force_match (','))
+ min = lex_integer (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, ','))
return 0;
- if (!lex_force_int ())
+ if (!lex_force_int (lexer))
return 0;
- max = lex_integer ();
- lex_get ();
- if (!lex_force_match (')'))
+ max = lex_integer (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, ')'))
return 0;
if (max < min)
{
for (i = old_n_variables; i < n_variables; i++)
{
- struct variable *v = v_variables[i];
+ const struct variable *v = v_variables[i];
struct var_freqs *vf;
- if (v->aux != NULL)
+ if (var_get_aux (v) != NULL)
{
msg (SE, _("Variable %s specified multiple times on VARIABLES "
- "subcommand."), v->name);
+ "subcommand."), var_get_name (v));
return 0;
}
- if (mode == FRQM_INTEGER && v->type != NUMERIC)
+ if (mode == FRQM_INTEGER && !var_is_numeric (v))
{
msg (SE, _("Integer mode specified, but %s is not a numeric "
- "variable."), v->name);
+ "variable."), var_get_name (v));
return 0;
}
vf->tab.vector = NULL;
vf->n_groups = 0;
vf->groups = NULL;
- vf->width = v->width;
- vf->print = v->print;
+ vf->width = var_get_width (v);
+ vf->print = *var_get_print_format (v);
if (vf->width > MAX_SHORT_STRING && get_algorithm () == COMPATIBLE)
{
+ enum fmt_type type = var_get_print_format (v)->type;
vf->width = MAX_SHORT_STRING;
- vf->print.w = MAX_SHORT_STRING * (v->print.type == FMT_AHEX ? 2 : 1);
+ vf->print.w = MAX_SHORT_STRING * (type == FMT_AHEX ? 2 : 1);
}
}
return 1;
/* Parses the GROUPED subcommand, setting the n_grouped, grouped
fields of specified variables. */
static int
-frq_custom_grouped (struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
+frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
{
- lex_match ('=');
- if ((token == T_ID && dict_lookup_var (default_dict, tokid) != NULL)
- || token == T_ID)
+ lex_match (lexer, '=');
+ if ((lex_token (lexer) == T_ID && dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) != NULL)
+ || lex_token (lexer) == T_ID)
for (;;)
{
size_t i;
/* Variable list. */
size_t n;
- struct variable **v;
+ const struct variable **v;
- if (!parse_variables (default_dict, &v, &n,
+ if (!parse_variables_const (lexer, dataset_dict (ds), &v, &n,
PV_NO_DUPLICATE | PV_NUMERIC))
return 0;
- if (lex_match ('('))
+ if (lex_match (lexer, '('))
{
nl = ml = 0;
dl = NULL;
- while (lex_integer ())
+ while (lex_integer (lexer))
{
if (nl >= ml)
{
ml += 16;
dl = pool_nrealloc (int_pool, dl, ml, sizeof *dl);
}
- dl[nl++] = tokval;
- lex_get ();
- lex_match (',');
+ dl[nl++] = lex_tokval (lexer);
+ lex_get (lexer);
+ lex_match (lexer, ',');
}
/* Note that nl might still be 0 and dl might still be
NULL. That's okay. */
- if (!lex_match (')'))
+ if (!lex_match (lexer, ')'))
{
free (v);
msg (SE, _("`)' expected after GROUPED interval list."));
}
for (i = 0; i < n; i++)
- if (v[i]->aux == NULL)
+ if (var_get_aux (v[i]) == NULL)
msg (SE, _("Variables %s specified on GROUPED but not on "
- "VARIABLES."), v[i]->name);
+ "VARIABLES."), var_get_name (v[i]));
else
{
struct var_freqs *vf = get_var_freqs (v[i]);
if (vf->groups != NULL)
msg (SE, _("Variables %s specified multiple times on GROUPED "
- "subcommand."), v[i]->name);
+ "subcommand."), var_get_name (v[i]));
else
{
vf->n_groups = nl;
}
}
free (v);
- if (!lex_match ('/'))
+ if (!lex_match (lexer, '/'))
break;
- if ((token != T_ID || dict_lookup_var (default_dict, tokid) != NULL)
- && token != T_ALL)
+ if ((lex_token (lexer) != T_ID || dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) != NULL)
+ && lex_token (lexer) != T_ALL)
{
- lex_put_back ('/');
+ lex_put_back (lexer, '/');
break;
}
}
break;
}
- if (i >= n_percentiles || tokval != percentiles[i].p)
+ if (i >= n_percentiles || x != percentiles[i].p)
{
percentiles = pool_nrealloc (int_pool, percentiles,
n_percentiles + 1, sizeof *percentiles);
/* Comparison functions. */
-/* Hash of numeric values. */
-static unsigned
-hash_value_numeric (const void *value_, void *foo UNUSED)
-{
- const struct freq *value = value_;
- return hsh_hash_double (value->v[0].f);
-}
-
-/* Hash of string values. */
-static unsigned
-hash_value_alpha (const void *value_, void *v_)
-{
- const struct freq *value = value_;
- struct variable *v = v_;
- struct var_freqs *vf = get_var_freqs (v);
-
- return hsh_hash_bytes (value->v[0].s, vf->width);
-}
-
/* Ascending numeric compare of values. */
static int
-compare_value_numeric_a (const void *a_, const void *b_, void *foo UNUSED)
+compare_value_numeric_a (const void *a_, const void *b_, const void *aux UNUSED)
{
const struct freq *a = a_;
const struct freq *b = b_;
- if (a->v[0].f > b->v[0].f)
+ if (a->value[0].f > b->value[0].f)
return 1;
- else if (a->v[0].f < b->v[0].f)
+ else if (a->value[0].f < b->value[0].f)
return -1;
else
return 0;
/* Ascending string compare of values. */
static int
-compare_value_alpha_a (const void *a_, const void *b_, void *v_)
+compare_value_alpha_a (const void *a_, const void *b_, const void *v_)
{
const struct freq *a = a_;
const struct freq *b = b_;
- struct variable *v = v_;
+ const struct variable *v = v_;
struct var_freqs *vf = get_var_freqs (v);
- return memcmp (a->v[0].s, b->v[0].s, vf->width);
+ return memcmp (a->value[0].s, b->value[0].s, vf->width);
}
/* Descending numeric compare of values. */
static int
-compare_value_numeric_d (const void *a, const void *b, void *foo UNUSED)
+compare_value_numeric_d (const void *a, const void *b, const void *aux UNUSED)
{
- return -compare_value_numeric_a (a, b, foo);
+ return -compare_value_numeric_a (a, b, aux);
}
/* Descending string compare of values. */
static int
-compare_value_alpha_d (const void *a, const void *b, void *v)
+compare_value_alpha_d (const void *a, const void *b, const void *v)
{
return -compare_value_alpha_a (a, b, v);
}
/* Ascending numeric compare of frequency;
secondary key on ascending numeric value. */
static int
-compare_freq_numeric_a (const void *a_, const void *b_, void *foo UNUSED)
+compare_freq_numeric_a (const void *a_, const void *b_, const void *aux UNUSED)
{
const struct freq *a = a_;
const struct freq *b = b_;
- if (a->c > b->c)
+ if (a->count > b->count)
return 1;
- else if (a->c < b->c)
+ else if (a->count < b->count)
return -1;
- if (a->v[0].f > b->v[0].f)
+ if (a->value[0].f > b->value[0].f)
return 1;
- else if (a->v[0].f < b->v[0].f)
+ else if (a->value[0].f < b->value[0].f)
return -1;
else
return 0;
/* Ascending numeric compare of frequency;
secondary key on ascending string value. */
static int
-compare_freq_alpha_a (const void *a_, const void *b_, void *v_)
+compare_freq_alpha_a (const void *a_, const void *b_, const void *v_)
{
const struct freq *a = a_;
const struct freq *b = b_;
- struct variable *v = v_;
+ const struct variable *v = v_;
struct var_freqs *vf = get_var_freqs (v);
- if (a->c > b->c)
+ if (a->count > b->count)
return 1;
- else if (a->c < b->c)
+ else if (a->count < b->count)
return -1;
else
- return memcmp (a->v[0].s, b->v[0].s, vf->width);
+ return memcmp (a->value[0].s, b->value[0].s, vf->width);
}
/* Descending numeric compare of frequency;
secondary key on ascending numeric value. */
static int
-compare_freq_numeric_d (const void *a_, const void *b_, void *foo UNUSED)
+compare_freq_numeric_d (const void *a_, const void *b_, const void *aux UNUSED)
{
const struct freq *a = a_;
const struct freq *b = b_;
- if (a->c > b->c)
+ if (a->count > b->count)
return -1;
- else if (a->c < b->c)
+ else if (a->count < b->count)
return 1;
- if (a->v[0].f > b->v[0].f)
+ if (a->value[0].f > b->value[0].f)
return 1;
- else if (a->v[0].f < b->v[0].f)
+ else if (a->value[0].f < b->value[0].f)
return -1;
else
return 0;
/* Descending numeric compare of frequency;
secondary key on ascending string value. */
static int
-compare_freq_alpha_d (const void *a_, const void *b_, void *v_)
+compare_freq_alpha_d (const void *a_, const void *b_, const void *v_)
{
const struct freq *a = a_;
const struct freq *b = b_;
- struct variable *v = v_;
+ const struct variable *v = v_;
struct var_freqs *vf = get_var_freqs (v);
- if (a->c > b->c)
+ if (a->count > b->count)
return -1;
- else if (a->c < b->c)
+ else if (a->count < b->count)
return 1;
else
- return memcmp (a->v[0].s, b->v[0].s, vf->width);
+ return memcmp (a->value[0].s, b->value[0].s, vf->width);
}
\f
/* Frequency table display. */
static void
full_dim (struct tab_table *t, struct outp_driver *d)
{
- int lab = cmd.labels == FRQ_LABELS;
- int i;
+ int i = 0;
+ int columns = 5;
+
+ if (cmd.labels == FRQ_LABELS)
+ {
+ t->w[0] = MIN (tab_natural_width (t, d, 0), d->prop_em_width * 15);
+ i = 1;
+ columns ++;
+ }
+
+ for (;i < columns; i++)
+ t->w[i] = MAX (tab_natural_width (t, d, i), d->prop_em_width * 8);
- if (lab)
- t->w[0] = min (tab_natural_width (t, d, 0), d->prop_em_width * 15);
- for (i = lab; i < lab + 5; i++)
- t->w[i] = max (tab_natural_width (t, d, i), d->prop_em_width * 8);
for (i = 0; i < t->nr; i++)
t->h[i] = d->font_height;
}
/* Displays a full frequency table for variable V. */
static void
-dump_full (struct variable *v)
+dump_full (const struct variable *v)
{
int n_categories;
struct var_freqs *vf;
const char *s;
};
- struct init *p;
+ const struct init *p;
- static struct init vec[] =
+ static const struct init vec[] =
{
{4, 0, N_("Valid")},
{5, 0, N_("Cum")},
{-1, -1, NULL},
};
- int lab = cmd.labels == FRQ_LABELS;
+ const bool lab = (cmd.labels == FRQ_LABELS);
vf = get_var_freqs (v);
ft = &vf->tab;
if (lab)
tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value Label"));
+
for (p = vec; p->s; p++)
- tab_text (t, p->c - (p->r ? !lab : 0), p->r,
+ tab_text (t, lab ? p->c : p->c - 1, p->r,
TAB_CENTER | TAT_TITLE, gettext (p->s));
r = 2;
{
double percent, valid_percent;
- cum_freq += f->c;
+ cum_freq += f->count;
- percent = f->c / ft->total_cases * 100.0;
- valid_percent = f->c / ft->valid_cases * 100.0;
+ percent = f->count / ft->total_cases * 100.0;
+ valid_percent = f->count / ft->valid_cases * 100.0;
cum_total += valid_percent;
if (lab)
{
- const char *label = val_labs_find (v->val_labs, f->v[0]);
+ const char *label = var_lookup_value_label (v, &f->value[0]);
if (label != NULL)
tab_text (t, 0, r, TAB_LEFT, label);
}
- tab_value (t, 0 + lab, r, TAB_NONE, f->v, &vf->print);
- tab_float (t, 1 + lab, r, TAB_NONE, f->c, 8, 0);
+ tab_value (t, 0 + lab, r, TAB_NONE, f->value, &vf->print);
+ tab_float (t, 1 + lab, r, TAB_NONE, f->count, 8, 0);
tab_float (t, 2 + lab, r, TAB_NONE, percent, 5, 1);
tab_float (t, 3 + lab, r, TAB_NONE, valid_percent, 5, 1);
tab_float (t, 4 + lab, r, TAB_NONE, cum_total, 5, 1);
}
for (; f < &ft->valid[n_categories]; f++)
{
- cum_freq += f->c;
+ cum_freq += f->count;
if (lab)
{
- const char *label = val_labs_find (v->val_labs, f->v[0]);
+ const char *label = var_lookup_value_label (v, &f->value[0]);
if (label != NULL)
tab_text (t, 0, r, TAB_LEFT, label);
}
- tab_value (t, 0 + lab, r, TAB_NONE, f->v, &vf->print);
- tab_float (t, 1 + lab, r, TAB_NONE, f->c, 8, 0);
+ tab_value (t, 0 + lab, r, TAB_NONE, f->value, &vf->print);
+ tab_float (t, 1 + lab, r, TAB_NONE, f->count, 8, 0);
tab_float (t, 2 + lab, r, TAB_NONE,
- f->c / ft->total_cases * 100.0, 5, 1);
+ f->count / ft->total_cases * 100.0, 5, 1);
tab_text (t, 3 + lab, r, TAB_NONE, _("Missing"));
r++;
}
tab_float (t, 2 + lab, r, TAB_NONE, 100.0, 5, 1);
tab_float (t, 3 + lab, r, TAB_NONE, 100.0, 5, 1);
- tab_title (t, "%s: %s", v->name, v->label ? v->label : "");
+ tab_title (t, "%s", var_to_string (v));
tab_submit (t);
-
}
/* Sets the widths of all the columns and heights of all the rows in
static void
condensed_dim (struct tab_table *t, struct outp_driver *d)
{
- int cum_w = max (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
- max (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
+ int cum_w = MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
+ MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
outp_string_width (d, "000", OUTP_PROPORTIONAL)));
int i;
for (i = 0; i < 2; i++)
- t->w[i] = max (tab_natural_width (t, d, i), d->prop_em_width * 8);
+ t->w[i] = MAX (tab_natural_width (t, d, i), d->prop_em_width * 8);
for (i = 2; i < 4; i++)
t->w[i] = cum_w;
for (i = 0; i < t->nr; i++)
/* Display condensed frequency table for variable V. */
static void
-dump_condensed (struct variable *v)
+dump_condensed (const struct variable *v)
{
int n_categories;
struct var_freqs *vf;
{
double percent;
- percent = f->c / ft->total_cases * 100.0;
- cum_total += f->c / ft->valid_cases * 100.0;
+ percent = f->count / ft->total_cases * 100.0;
+ cum_total += f->count / ft->valid_cases * 100.0;
- tab_value (t, 0, r, TAB_NONE, f->v, &vf->print);
- tab_float (t, 1, r, TAB_NONE, f->c, 8, 0);
+ tab_value (t, 0, r, TAB_NONE, f->value, &vf->print);
+ tab_float (t, 1, r, TAB_NONE, f->count, 8, 0);
tab_float (t, 2, r, TAB_NONE, percent, 3, 0);
tab_float (t, 3, r, TAB_NONE, cum_total, 3, 0);
r++;
}
for (; f < &ft->valid[n_categories]; f++)
{
- tab_value (t, 0, r, TAB_NONE, f->v, &vf->print);
- tab_float (t, 1, r, TAB_NONE, f->c, 8, 0);
+ tab_value (t, 0, r, TAB_NONE, f->value, &vf->print);
+ tab_float (t, 1, r, TAB_NONE, f->count, 8, 0);
tab_float (t, 2, r, TAB_NONE,
- f->c / ft->total_cases * 100.0, 3, 0);
+ f->count / ft->total_cases * 100.0, 3, 0);
r++;
}
cmd.spaces == FRQ_SINGLE ? -1 : TAL_GAP, TAL_1,
0, 0, 3, r - 1);
tab_hline (t, TAL_2, 0, 3, 2);
- tab_title (t, "%s: %s", v->name, v->label ? v->label : "");
+ tab_title (t, "%s", var_to_string (v));
tab_columns (t, SOM_COL_DOWN, 1);
tab_submit (t);
}
/* Calculates all the pertinent statistics for variable V, putting
them in array D[]. FIXME: This could be made much more optimal. */
static void
-calc_stats (struct variable *v, double d[frq_n_stats])
+calc_stats (const struct variable *v, double d[frq_n_stats])
{
struct freq_tab *ft = &get_var_freqs (v)->tab;
double W = ft->valid_cases;
{
static double prev_value = SYSMIS;
f = &ft->valid[idx];
- rank += f->c ;
+ rank += f->count ;
for (i = 0; i < n_percentiles; i++)
{
double tp;
if ( percentiles[i].flag )
{
- percentiles[i].x2 = f->v[0].f;
+ percentiles[i].x2 = f->value[0].f;
percentiles[i].x1 = prev_value;
percentiles[i].flag2 = 1;
continue;
if (rank > tp )
{
- if ( f->c > 1 && rank - (f->c - 1) > tp )
+ if ( f->count > 1 && rank - (f->count - 1) > tp )
{
- percentiles[i].x2 = percentiles[i].x1 = f->v[0].f;
+ percentiles[i].x2 = percentiles[i].x1 = f->value[0].f;
percentiles[i].flag2 = 1;
}
else
continue;
}
}
- prev_value = f->v[0].f;
+ prev_value = f->value[0].f;
}
for (i = 0; i < n_percentiles; i++)
{
/* Catches the case when p == 100% */
if ( ! percentiles[i].flag2 )
- percentiles[i].x1 = percentiles[i].x2 = f->v[0].f;
+ percentiles[i].x1 = percentiles[i].x2 = f->value[0].f;
/*
printf("percentile %d (p==%.2f); X1 = %g; X2 = %g\n",
X_mode = SYSMIS;
for (f = ft->valid; f < ft->missing; f++)
{
- if (most_often < f->c)
+ if (most_often < f->count)
{
- most_often = f->c;
- X_mode = f->v[0].f;
+ most_often = f->count;
+ X_mode = f->value[0].f;
}
- else if (most_often == f->c)
+ else if (most_often == f->count)
{
/* A duplicate mode is undefined.
FIXME: keep track of *all* the modes. */
/* Calculate moments. */
m = moments_create (MOMENT_KURTOSIS);
for (f = ft->valid; f < ft->missing; f++)
- moments_pass_one (m, f->v[0].f, f->c);
+ moments_pass_one (m, f->value[0].f, f->count);
for (f = ft->valid; f < ft->missing; f++)
- moments_pass_two (m, f->v[0].f, f->c);
+ moments_pass_two (m, f->value[0].f, f->count);
moments_calculate (m, NULL, &d[frq_mean], &d[frq_variance],
&d[frq_skew], &d[frq_kurt]);
moments_destroy (m);
/* Formulas below are taken from _SPSS Statistical Algorithms_. */
- d[frq_min] = ft->valid[0].v[0].f;
- d[frq_max] = ft->valid[ft->n_valid - 1].v[0].f;
+ d[frq_min] = ft->valid[0].value[0].f;
+ d[frq_max] = ft->valid[ft->n_valid - 1].value[0].f;
d[frq_mode] = X_mode;
d[frq_range] = d[frq_max] - d[frq_min];
d[frq_median] = *median_value;
/* Displays a table of all the statistics requested for variable V. */
static void
-dump_statistics (struct variable *v, int show_varname)
+dump_statistics (const struct variable *v, int show_varname)
{
struct freq_tab *ft;
double stat_value[frq_n_stats];
if ( implicit_50th && n_percentiles > 0 )
--n_percentiles;
- if (v->type == ALPHA)
+ if (var_is_alpha (v))
return;
ft = &get_var_freqs (v)->tab;
if (ft->n_valid == 0)
{
msg (SW, _("No valid data for variable %s; statistics not displayed."),
- v->name);
+ var_get_name (v));
return;
}
calc_stats (v, stat_value);
tab_columns (t, SOM_COL_DOWN, 1);
if (show_varname)
- {
- if (v->label)
- tab_title (t, "%s: %s", v->name, v->label);
- else
- tab_title (t, "%s", v->name);
- }
+ tab_title (t, "%s", var_to_string (v));
else
tab_flags (t, SOMF_NO_TITLE);
/* Find out the extremes of the x value */
for ( frq = hsh_first(fh, &hi); frq != 0; frq = hsh_next(fh, &hi) )
{
- if ( mv_is_value_missing(&var->miss, frq->v))
+ if (var_is_value_missing(var, frq->value, MV_ANY))
continue;
- if ( frq->v[0].f < x_min ) x_min = frq->v[0].f ;
- if ( frq->v[0].f > x_max ) x_max = frq->v[0].f ;
+ if ( frq->value[0].f < x_min ) x_min = frq->value[0].f ;
+ if ( frq->value[0].f > x_max ) x_max = frq->value[0].f ;
}
hist = histogram_create(bins, x_min, x_max);
for( i = 0 ; i < ft->n_valid ; ++i )
{
frq = &ft->valid[i];
- gsl_histogram_accumulate(hist, frq->v[0].f, frq->c);
+ gsl_histogram_accumulate(hist, frq->value[0].f, frq->count);
}
return hist;
{
const struct freq *frq = &frq_tab->valid[i];
- slices[i].label = value_to_string(frq->v, var);
-
- slices[i].magnetude = frq->c;
+ slices[i].label = var_get_value_name (var, frq->value);
+ slices[i].magnetude = frq->count;
}
return slices;
projects / pspp-builds.git / blobdiff