/*
PSPP - a program for statistical analysis.
- Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2014 Free Software Foundation, Inc.
-
+ Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2014, 2015 Free Software Foundation, Inc.
+
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
-
+
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <stdlib.h>
#include <gsl/gsl_histogram.h>
-
#include "data/case.h"
#include "data/casegrouper.h"
#include "data/casereader.h"
#include "libpspp/hmap.h"
#include "libpspp/message.h"
#include "libpspp/misc.h"
-#include "libpspp/pool.h"
#include "math/histogram.h"
#include "math/moments.h"
#include "math/chart-geometry.h"
-#include "output/chart-item.h"
+#include "output/charts/barchart.h"
#include "output/charts/piechart.h"
#include "output/charts/plot-hist.h"
-#include "output/tab.h"
+#include "output/pivot-table.h"
#include "gl/minmax.h"
#include "gl/xalloc.h"
/* Percentiles to calculate. */
struct percentile
-{
- double p; /* the %ile to be calculated */
- double value; /* the %ile's value */
- bool show; /* True to show this percentile in the statistics box. */
-};
+ {
+ double p; /* The percentile to calculate, between 0 and 1. */
+ bool show; /* True to show this percentile in the statistics box. */
+ };
static int
-ptile_3way (const void *_p1, const void *_p2)
+percentile_compare_3way (const void *a_, const void *b_)
{
- const struct percentile *p1 = _p1;
- const struct percentile *p2 = _p2;
-
- if (p1->p < p2->p)
- return -1;
+ const struct percentile *a = a_;
+ const struct percentile *b = b_;
- return (p1->p > p2->p);
+ return a->p < b->p ? -1 : a->p > b->p;
}
-
-enum
- {
- FRQ_NONORMAL,
- FRQ_NORMAL
- };
-
enum
{
FRQ_FREQ,
FRQ_PERCENT
};
-enum sortprops
+enum sortprops
{
FRQ_AFREQ,
FRQ_DFREQ,
FRQ_DVALUE
};
-/* Array indices for STATISTICS subcommand. */
-enum
+#define STATISTICS \
+ S(FRQ_ST_MEAN, "MEAN", N_("Mean")) \
+ S(FRQ_ST_SEMEAN, "SEMEAN", N_("S.E. Mean")) \
+ S(FRQ_ST_MEDIAN, "MEDIAN", N_("Median")) \
+ S(FRQ_ST_MODE, "MODE", N_("Mode")) \
+ S(FRQ_ST_STDDEV, "STDDEV", N_("Std Dev")) \
+ S(FRQ_ST_VARIANCE, "VARIANCE", N_("Variance")) \
+ S(FRQ_ST_KURTOSIS, "KURTOSIS", N_("Kurtosis")) \
+ S(FRQ_ST_SEKURTOSIS, "SEKURTOSIS",N_("S.E. Kurt")) \
+ S(FRQ_ST_SKEWNESS, "SKEWNESS", N_("Skewness")) \
+ S(FRQ_ST_SESKEWNESS, "SESKEWNESS",N_("S.E. Skew")) \
+ S(FRQ_ST_RANGE, "RANGE", N_("Range")) \
+ S(FRQ_ST_MINIMUM, "MINIMUM", N_("Minimum")) \
+ S(FRQ_ST_MAXIMUM, "MAXIMUM", N_("Maximum")) \
+ S(FRQ_ST_SUM, "SUM", N_("Sum"))
+
+enum frq_statistic
{
- FRQ_ST_MEAN,
- FRQ_ST_SEMEAN,
- FRQ_ST_MEDIAN,
- FRQ_ST_MODE,
- FRQ_ST_STDDEV,
- FRQ_ST_VARIANCE,
- FRQ_ST_KURTOSIS,
- FRQ_ST_SEKURTOSIS,
- FRQ_ST_SKEWNESS,
- FRQ_ST_SESKEWNESS,
- FRQ_ST_RANGE,
- FRQ_ST_MINIMUM,
- FRQ_ST_MAXIMUM,
- FRQ_ST_SUM,
- FRQ_ST_count
+#define S(ENUM, KEYWORD, NAME) ENUM,
+STATISTICS
+#undef S
};
-/* Description of statistics. */
-static const char *st_name[FRQ_ST_count] =
-{
- N_("Mean"),
- N_("S.E. Mean"),
- N_("Median"),
- N_("Mode"),
- N_("Std Dev"),
- N_("Variance"),
- N_("Kurtosis"),
- N_("S.E. Kurt"),
- N_("Skewness"),
- N_("S.E. Skew"),
- N_("Range"),
- N_("Minimum"),
- N_("Maximum"),
- N_("Sum")
+enum {
+#define S(ENUM, KEYWORD, NAME) +1
+ FRQ_ST_count = STATISTICS,
+#undef S
+};
+
+static const char *st_keywords[FRQ_ST_count] = {
+#define S(ENUM, KEYWORD, NAME) KEYWORD,
+ STATISTICS
+#undef S
+};
+
+static const char *st_names[FRQ_ST_count] = {
+#define S(ENUM, KEYWORD, NAME) NAME,
+ STATISTICS
+#undef S
};
struct freq_tab
{
struct hmap data; /* Hash table for accumulating counts. */
struct freq *valid; /* Valid freqs. */
- int n_valid; /* Number of total freqs. */
+ size_t n_valid; /* Number of total freqs. */
const struct dictionary *dict; /* Source of entries in the table. */
struct freq *missing; /* Missing freqs. */
- int n_missing; /* Number of missing freqs. */
+ size_t n_missing; /* Number of missing freqs. */
/* Statistics. */
double total_cases; /* Sum of weights of all cases. */
/* Freqency table. */
struct freq_tab tab; /* Frequencies table to use. */
- /* Percentiles. */
- int n_groups; /* Number of groups. */
- double *groups; /* Groups. */
-
/* Statistics. */
double stat[FRQ_ST_count];
+ double *percentiles;
/* Variable attributes. */
int width;
struct frq_proc
{
- struct pool *pool;
-
struct var_freqs *vars;
size_t n_vars;
/* Percentiles to calculate and possibly display. */
struct percentile *percentiles;
- int n_percentiles, n_show_percentiles;
+ size_t median_idx;
+ size_t n_percentiles;
/* Frequency table display. */
- int max_categories; /* Maximum categories to show. */
+ long int max_categories; /* Maximum categories to show. */
int sort; /* FRQ_AVALUE or FRQ_DVALUE
or FRQ_AFREQ or FRQ_DFREQ. */
- /* Statistics; number of statistics. */
+ /* Statistics. */
unsigned long stats;
- int n_stats;
/* Histogram and pie chart settings. */
- struct frq_chart *hist, *pie;
+ struct frq_chart *hist, *pie, *bar;
+
+ bool warn;
};
bool ascending_value;
};
-static void calc_stats (const struct var_freqs *vf, double d[FRQ_ST_count]);
+static void calc_stats (const struct frq_proc *,
+ const struct var_freqs *, double d[FRQ_ST_count]);
-static void do_piechart(const struct frq_chart *pie,
+static void do_piechart(const struct frq_chart *pie,
const struct variable *var,
const struct freq_tab *frq_tab);
-static void dump_statistics (const struct frq_proc *frq,
- const struct var_freqs *vf,
- const struct variable *wv);
+static void do_barchart(const struct frq_chart *bar,
+ const struct variable **var,
+ const struct freq_tab *frq_tab);
+
+static struct frq_stats_table *frq_stats_table_submit (
+ struct frq_stats_table *, const struct frq_proc *,
+ const struct dictionary *, const struct variable *wv,
+ const struct ccase *example);
+static void frq_stats_table_destroy (struct frq_stats_table *);
static int
compare_freq (const void *a_, const void *b_, const void *aux_)
}
else
{
- int cmp = value_compare_3way (&a->value, &b->value, aux->width);
+ int cmp = value_compare_3way (a->values, b->values, aux->width);
return aux->ascending_value ? cmp : -cmp;
}
}
/* Create a gsl_histogram from a freq_tab */
-static struct histogram *
-freq_tab_to_hist (const struct frq_proc *frq, const struct freq_tab *ft,
- const struct variable *var);
+static struct histogram *freq_tab_to_hist (const struct frq_proc *,
+ const struct var_freqs *);
+static void
+put_freq_row (struct pivot_table *table, int var_idx,
+ double frequency, double percent,
+ double valid_percent, double cum_percent)
+{
+ double entries[] = { frequency, percent, valid_percent, cum_percent };
+ for (size_t i = 0; i < sizeof entries / sizeof *entries; i++)
+ if (entries[i] != SYSMIS)
+ pivot_table_put2 (table, i, var_idx,
+ pivot_value_new_number (entries[i]));
+}
/* Displays a full frequency table for variable V. */
static void
dump_freq_table (const struct var_freqs *vf, const struct variable *wv)
{
- const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : &F_8_0;
const struct freq_tab *ft = &vf->tab;
- int n_categories;
- struct freq *f;
- struct tab_table *t;
- int r, x;
- double cum_total = 0.0;
- double cum_freq = 0.0;
- static const char *headings[] = {
- N_("Value Label"),
- N_("Value"),
- N_("Frequency"),
- N_("Percent"),
- N_("Valid Percent"),
- N_("Cum Percent")
- };
+ struct pivot_table *table = pivot_table_create__ (pivot_value_new_variable (
+ vf->var), "Frequencies");
+ pivot_table_set_weight_var (table, wv);
- n_categories = ft->n_valid + ft->n_missing;
- t = tab_create (6, n_categories + 2);
- tab_set_format (t, RC_WEIGHT, wfmt);
- tab_headers (t, 0, 0, 1, 0);
+ pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Statistics"),
+ N_("Frequency"), PIVOT_RC_COUNT,
+ N_("Percent"), PIVOT_RC_PERCENT,
+ N_("Valid Percent"), PIVOT_RC_PERCENT,
+ N_("Cumulative Percent"), PIVOT_RC_PERCENT);
- for (x = 0; x < 6; x++)
- tab_text (t, x, 0, TAB_CENTER | TAT_TITLE, gettext (headings[x]));
+ struct pivot_dimension *variable = pivot_dimension_create__ (
+ table, PIVOT_AXIS_ROW, pivot_value_new_variable (vf->var));
- r = 1;
- for (f = ft->valid; f < ft->missing; f++)
+ double cum_freq = 0.0;
+ double cum_percent = 0.0;
+ struct pivot_category *valid = NULL;
+ for (const struct freq *f = ft->valid; f < ft->missing; f++)
{
- const char *label;
- double percent, valid_percent;
-
cum_freq += f->count;
-
- percent = f->count / ft->total_cases * 100.0;
- valid_percent = f->count / ft->valid_cases * 100.0;
- cum_total += valid_percent;
-
- label = var_lookup_value_label (vf->var, &f->value);
- if (label != NULL)
- tab_text (t, 0, r, TAB_LEFT, label);
-
- tab_value (t, 1, r, TAB_NONE, &f->value, vf->var, NULL);
- tab_double (t, 2, r, TAB_NONE, f->count, NULL, RC_WEIGHT);
- tab_double (t, 3, r, TAB_NONE, percent, NULL, RC_OTHER);
- tab_double (t, 4, r, TAB_NONE, valid_percent, NULL, RC_OTHER);
- tab_double (t, 5, r, TAB_NONE, cum_total, NULL, RC_OTHER);
- r++;
+ double valid_percent = f->count / ft->valid_cases * 100.0;
+ cum_percent += valid_percent;
+
+ if (!valid)
+ valid = pivot_category_create_group (variable->root, N_("Valid"));
+ int var_idx = pivot_category_create_leaf (
+ valid, pivot_value_new_var_value (vf->var, &f->values[0]));
+ put_freq_row (table, var_idx, f->count,
+ f->count / ft->total_cases * 100.0,
+ valid_percent, cum_percent);
}
- for (; f < &ft->valid[n_categories]; f++)
- {
- const char *label;
+ struct pivot_category *missing = NULL;
+ size_t n_categories = ft->n_valid + ft->n_missing;
+ for (const struct freq *f = ft->missing; f < &ft->valid[n_categories]; f++)
+ {
cum_freq += f->count;
- label = var_lookup_value_label (vf->var, &f->value);
- if (label != NULL)
- tab_text (t, 0, r, TAB_LEFT, label);
-
- tab_value (t, 1, r, TAB_NONE, &f->value, vf->var, NULL);
- tab_double (t, 2, r, TAB_NONE, f->count, NULL, RC_WEIGHT);
- tab_double (t, 3, r, TAB_NONE,
- f->count / ft->total_cases * 100.0, NULL, RC_OTHER);
- tab_text (t, 4, r, TAB_NONE, _("Missing"));
- r++;
+ if (!missing)
+ missing = pivot_category_create_group (variable->root, N_("Missing"));
+ int var_idx = pivot_category_create_leaf (
+ missing, pivot_value_new_var_value (vf->var, &f->values[0]));
+ put_freq_row (table, var_idx, f->count,
+ f->count / ft->total_cases * 100.0, SYSMIS, SYSMIS);
}
- tab_box (t, TAL_1, TAL_1, -1, TAL_1, 0, 0, 5, r);
- tab_hline (t, TAL_2, 0, 5, 1);
- tab_hline (t, TAL_2, 0, 5, r);
- tab_joint_text (t, 0, r, 1, r, TAB_RIGHT | TAT_TITLE, _("Total"));
- tab_vline (t, TAL_0, 1, r, r);
- tab_double (t, 2, r, TAB_NONE, cum_freq, NULL, RC_WEIGHT);
- tab_double (t, 3, r, TAB_NONE, 100.0, &F_5_1, RC_OTHER);
- tab_double (t, 4, r, TAB_NONE, 100.0, &F_5_1, RC_OTHER);
-
- tab_title (t, "%s", var_to_string (vf->var));
- tab_submit (t);
+ int var_idx = pivot_category_create_leaf (
+ variable->root, pivot_value_new_text (N_("Total")));
+ put_freq_row (table, var_idx, cum_freq, cum_percent, SYSMIS, SYSMIS);
+
+ pivot_table_submit (table);
}
\f
/* Statistical display. */
/* Calculates all of the percentiles for VF within FRQ. */
static void
-calc_percentiles (const struct frq_proc *frq, const struct var_freqs *vf)
+calc_percentiles (const struct frq_proc *frq, struct var_freqs *vf)
{
- const struct freq_tab *ft = &vf->tab;
- double W = ft->valid_cases;
- const struct freq *f;
- int percentile_idx;
- double rank;
+ if (!frq->n_percentiles)
+ return;
+
+ if (!vf->percentiles)
+ vf->percentiles = xnmalloc (frq->n_percentiles, sizeof *vf->percentiles);
- assert (ft->n_valid > 0);
+ const struct freq_tab *ft = &vf->tab;
+ const double W = ft->valid_cases;
+ size_t idx = 0;
- rank = 0;
- percentile_idx = 0;
- for (f = ft->valid; f < ft->missing; f++)
+ double rank = 0;
+ for (const struct freq *f = ft->valid; f < ft->missing; f++)
{
rank += f->count;
- for (; percentile_idx < frq->n_percentiles; percentile_idx++)
+ for (; idx < frq->n_percentiles; idx++)
{
- struct percentile *pc = &frq->percentiles[percentile_idx];
+ struct percentile *pc = &frq->percentiles[idx];
double tp;
tp = (settings_get_algorithm () == ENHANCED
break;
if (tp + 1 < rank || f + 1 >= ft->missing)
- pc->value = f->value.f;
+ vf->percentiles[idx] = f->values[0].f;
else
- pc->value = calc_percentile (pc->p, W, f->value.f, f[1].value.f);
+ vf->percentiles[idx] = calc_percentile (pc->p, W, f->values[0].f,
+ f[1].values[0].f);
}
}
- for (; percentile_idx < frq->n_percentiles; percentile_idx++)
- {
- struct percentile *pc = &frq->percentiles[percentile_idx];
- pc->value = ft->valid[ft->n_valid - 1].value.f;
- }
+ for (; idx < frq->n_percentiles; idx++)
+ vf->percentiles[idx] = (ft->n_valid > 0
+ ? ft->valid[ft->n_valid - 1].values[0].f
+ : SYSMIS);
}
/* Returns true iff the value in struct freq F is non-missing
const struct freq *f = f_;
const struct variable *v = v_;
- return !var_is_value_missing (v, &f->value, MV_ANY);
+ return !var_is_value_missing (v, f->values);
}
-
/* Summarizes the frequency table data for variable V. */
static void
postprocess_freq_tab (const struct frq_proc *frq, struct var_freqs *vf)
{
struct freq_tab *ft = &vf->tab;
- struct freq_compare_aux aux;
- size_t count;
- struct freq *freqs, *f;
- size_t i;
/* Extract data from hash table. */
- count = hmap_count (&ft->data);
- freqs = freq_hmap_extract (&ft->data);
+ size_t count = hmap_count (&ft->data);
+ struct freq *freqs = freq_hmap_extract (&ft->data);
/* Put data into ft. */
ft->valid = freqs;
ft->n_missing = count - ft->n_valid;
/* Sort data. */
- aux.by_freq = frq->sort == FRQ_AFREQ || frq->sort == FRQ_DFREQ;
- aux.ascending_freq = frq->sort != FRQ_DFREQ;
- aux.width = vf->width;
- aux.ascending_value = frq->sort != FRQ_DVALUE;
+ struct freq_compare_aux aux = {
+ .by_freq = frq->sort == FRQ_AFREQ || frq->sort == FRQ_DFREQ,
+ .ascending_freq = frq->sort != FRQ_DFREQ,
+ .width = vf->width,
+ .ascending_value = frq->sort != FRQ_DVALUE,
+ };
sort (ft->valid, ft->n_valid, sizeof *ft->valid, compare_freq, &aux);
sort (ft->missing, ft->n_missing, sizeof *ft->missing, compare_freq, &aux);
/* Summary statistics. */
ft->valid_cases = 0.0;
- for(i = 0 ; i < ft->n_valid ; ++i )
- {
- f = &ft->valid[i];
- ft->valid_cases += f->count;
-
- }
-
- ft->total_cases = ft->valid_cases ;
- for(i = 0 ; i < ft->n_missing ; ++i )
- {
- f = &ft->missing[i];
- ft->total_cases += f->count;
- }
+ for (size_t i = 0; i < ft->n_valid; ++i)
+ ft->valid_cases += ft->valid[i].count;
-}
-
-/* Frees the frequency table for variable V. */
-static void
-cleanup_freq_tab (struct var_freqs *vf)
-{
- free (vf->tab.valid);
- freq_hmap_destroy (&vf->tab.data, vf->width);
+ ft->total_cases = ft->valid_cases;
+ for (size_t i = 0; i < ft->n_missing; ++i)
+ ft->total_cases += ft->missing[i].count;
}
/* Add data from case C to the frequency table. */
static void
calc (struct frq_proc *frq, const struct ccase *c, const struct dataset *ds)
{
- double weight = dict_get_case_weight (dataset_dict (ds), c, NULL);
- size_t i;
-
- for (i = 0; i < frq->n_vars; i++)
+ double weight = dict_get_case_weight (dataset_dict (ds), c, &frq->warn);
+ for (size_t i = 0; i < frq->n_vars; i++)
{
struct var_freqs *vf = &frq->vars[i];
const union value *value = case_data (c, vf->var);
}
}
-/* Prepares each variable that is the target of FREQUENCIES by setting
- up its hash table. */
static void
-precalc (struct frq_proc *frq, struct casereader *input, struct dataset *ds)
+output_splits_once (bool *need_splits, const struct dataset *ds,
+ const struct ccase *c)
{
- struct ccase *c;
- size_t i;
-
- c = casereader_peek (input, 0);
- if (c != NULL)
+ if (*need_splits)
{
output_split_file_values (ds, c);
- case_unref (c);
+ *need_splits = false;
}
-
- for (i = 0; i < frq->n_vars; i++)
- hmap_init (&frq->vars[i].tab.data);
}
/* Finishes up with the variables after frequencies have been
calculated. Displays statistics, percentiles, ... */
-static void
-postcalc (struct frq_proc *frq, const struct dataset *ds)
+static struct frq_stats_table *
+postcalc (struct frq_proc *frq, const struct dataset *ds,
+ struct ccase *example, struct frq_stats_table *fst)
{
const struct dictionary *dict = dataset_dict (ds);
const struct variable *wv = dict_get_weight (dict);
- size_t i;
- for (i = 0; i < frq->n_vars; i++)
+ for (size_t i = 0; i < frq->n_vars; i++)
{
struct var_freqs *vf = &frq->vars[i];
-
postprocess_freq_tab (frq, vf);
+ calc_percentiles (frq, vf);
+ }
- /* Frequencies tables. */
- if (vf->tab.n_valid + vf->tab.n_missing <= frq->max_categories)
- dump_freq_table (vf, wv);
+ enum split_type st = dict_get_split_type (dict);
+ bool need_splits = true;
+ if (frq->stats)
+ {
+ if (st != SPLIT_LAYERED)
+ output_splits_once (&need_splits, ds, example);
+ fst = frq_stats_table_submit (fst, frq, dict, wv, example);
+ }
- calc_percentiles (frq, vf);
+ for (size_t i = 0; i < frq->n_vars; i++)
+ {
+ struct var_freqs *vf = &frq->vars[i];
- /* Statistics. */
- if (frq->n_stats)
- dump_statistics (frq, vf, wv);
+ /* Frequencies tables. */
+ if (vf->tab.n_valid + vf->tab.n_missing <= frq->max_categories)
+ {
+ output_splits_once (&need_splits, ds, example);
+ dump_freq_table (vf, wv);
+ }
if (frq->hist && var_is_numeric (vf->var) && vf->tab.n_valid > 0)
{
double d[FRQ_ST_count];
struct histogram *histogram;
- calc_stats (vf, d);
+ calc_stats (frq, vf, d);
- histogram = freq_tab_to_hist (frq, &vf->tab, vf->var);
+ histogram = freq_tab_to_hist (frq, vf);
- if ( histogram)
+ if (histogram)
{
- chart_item_submit (histogram_chart_create (
- histogram->gsl_hist, var_to_string(vf->var),
- vf->tab.valid_cases,
- d[FRQ_ST_MEAN],
- d[FRQ_ST_STDDEV],
- frq->hist->draw_normal));
+ output_splits_once (&need_splits, ds, example);
+ chart_submit (histogram_chart_create (
+ histogram->gsl_hist, var_to_string(vf->var),
+ vf->tab.valid_cases,
+ d[FRQ_ST_MEAN],
+ d[FRQ_ST_STDDEV],
+ frq->hist->draw_normal));
statistic_destroy (&histogram->parent);
}
}
if (frq->pie)
- do_piechart(frq->pie, vf->var, &vf->tab);
+ {
+ output_splits_once (&need_splits, ds, example);
+ do_piechart(frq->pie, vf->var, &vf->tab);
+ }
+
+ if (frq->bar)
+ {
+ output_splits_once (&need_splits, ds, example);
+ do_barchart(frq->bar, &vf->var, &vf->tab);
+ }
- cleanup_freq_tab (vf);
+ free (vf->tab.valid);
+ freq_hmap_destroy (&vf->tab.data, vf->width);
}
+
+ return fst;
}
-int
-cmd_frequencies (struct lexer *lexer, struct dataset *ds)
+static void
+frq_run (struct frq_proc *frq, struct dataset *ds)
{
- int i;
- struct frq_proc frq;
- const struct variable **vars;
-
- bool sbc_barchart = false;
- bool sbc_piechart = false;
- bool sbc_histogram = false;
-
- double pie_min = -DBL_MAX;
- double pie_max = DBL_MAX;
- bool pie_missing = false;
-
- double hi_min = -DBL_MAX;
- double hi_max = DBL_MAX;
- int hi_scale = FRQ_FREQ;
- int hi_freq = INT_MIN;
- int hi_pcnt = INT_MIN;
- int hi_norm = FRQ_NONORMAL;
-
- frq.pool = pool_create ();
- frq.sort = FRQ_AVALUE;
-
- frq.vars = NULL;
- frq.n_vars = 0;
-
- frq.stats = BIT_INDEX (FRQ_ST_MEAN)
- | BIT_INDEX (FRQ_ST_STDDEV)
- | BIT_INDEX (FRQ_ST_MINIMUM)
- | BIT_INDEX (FRQ_ST_MAXIMUM);
+ struct frq_stats_table *fst = NULL;
+ struct casegrouper *grouper = casegrouper_create_splits (proc_open (ds),
+ dataset_dict (ds));
+ struct casereader *group;
+ while (casegrouper_get_next_group (grouper, &group))
+ {
+ for (size_t i = 0; i < frq->n_vars; i++)
+ hmap_init (&frq->vars[i].tab.data);
- frq.n_stats = 4;
+ struct ccase *example = casereader_peek (group, 0);
- frq.max_categories = INT_MAX;
+ struct ccase *c;
+ for (; (c = casereader_read (group)) != NULL; case_unref (c))
+ calc (frq, c, ds);
+ fst = postcalc (frq, ds, example, fst);
+ casereader_destroy (group);
- frq.percentiles = NULL;
- frq.n_percentiles = 0;
- frq.n_show_percentiles = 0;
+ case_unref (example);
+ }
+ frq_stats_table_destroy (fst);
+ casegrouper_destroy (grouper);
+ proc_commit (ds);
+}
- frq.hist = NULL;
- frq.pie = NULL;
+static void
+add_percentile (struct frq_proc *frq, double p, bool show,
+ size_t *allocated_percentiles)
+{
+ if (frq->n_percentiles >= *allocated_percentiles)
+ frq->percentiles = x2nrealloc (frq->percentiles, allocated_percentiles,
+ sizeof *frq->percentiles);
+ frq->percentiles[frq->n_percentiles++] = (struct percentile) {
+ .p = p,
+ .show = show,
+ };
+}
+int
+cmd_frequencies (struct lexer *lexer, struct dataset *ds)
+{
+ bool ok = false;
+ const struct variable **vars = NULL;
+
+ size_t allocated_percentiles = 0;
+
+ const unsigned long DEFAULT_STATS = (BIT_INDEX (FRQ_ST_MEAN)
+ | BIT_INDEX (FRQ_ST_STDDEV)
+ | BIT_INDEX (FRQ_ST_MINIMUM)
+ | BIT_INDEX (FRQ_ST_MAXIMUM));
+ struct frq_proc frq = {
+ .sort = FRQ_AVALUE,
+ .stats = DEFAULT_STATS,
+ .max_categories = LONG_MAX,
+ .median_idx = SIZE_MAX,
+ .warn = true,
+ };
- /* Accept an optional, completely pointless "/VARIABLES=" */
lex_match (lexer, T_SLASH);
- if (lex_match_id (lexer, "VARIABLES"))
- {
- if (! lex_force_match (lexer, T_EQUALS) )
- goto error;
- }
+ if (lex_match_id (lexer, "VARIABLES") && !lex_force_match (lexer, T_EQUALS))
+ goto done;
if (!parse_variables_const (lexer, dataset_dict (ds),
- &vars,
- &frq.n_vars,
- PV_NO_DUPLICATE))
- goto error;
+ &vars, &frq.n_vars, PV_NO_DUPLICATE))
+ goto done;
- frq.vars = xzalloc (frq.n_vars * sizeof (*frq.vars));
- for (i = 0; i < frq.n_vars; ++i)
+ frq.vars = xcalloc (frq.n_vars, sizeof *frq.vars);
+ for (size_t i = 0; i < frq.n_vars; ++i)
{
frq.vars[i].var = vars[i];
frq.vars[i].width = var_get_width (vars[i]);
if (lex_match_id (lexer, "STATISTICS"))
{
- lex_match (lexer, T_EQUALS);
-
+ lex_match (lexer, T_EQUALS);
frq.stats = 0;
- frq.n_stats = 0;
+ int ofs = lex_ofs (lexer);
while (lex_token (lexer) != T_ENDCMD
&& lex_token (lexer) != T_SLASH)
{
- if (lex_match_id (lexer, "DEFAULT"))
- {
- frq.stats = BIT_INDEX (FRQ_ST_MEAN)
- | BIT_INDEX (FRQ_ST_STDDEV)
- | BIT_INDEX (FRQ_ST_MINIMUM)
- | BIT_INDEX (FRQ_ST_MAXIMUM);
+ for (int s = 0; s < FRQ_ST_count; s++)
+ if (lex_match_id (lexer, st_keywords[s]))
+ {
+ frq.stats |= 1 << s;
+ goto next;
+ }
- frq.n_stats = 4;
- }
- else if (lex_match_id (lexer, "MEAN"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MEAN);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "SEMEAN"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_SEMEAN);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "MEDIAN"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MEDIAN);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "MODE"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MODE);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "STDDEV"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_STDDEV);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "VARIANCE"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MEAN);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "KURTOSIS"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_KURTOSIS);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "SKEWNESS"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_SKEWNESS);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "RANGE"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_RANGE);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "MINIMUM"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MINIMUM);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "MAXIMUM"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_MAXIMUM);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "SUM"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_SUM);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "SESKEWNESS"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_SESKEWNESS);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "SEKURTOSIS"))
- {
- frq.stats |= BIT_INDEX (FRQ_ST_SEKURTOSIS);
- frq.n_stats++;
- }
- else if (lex_match_id (lexer, "NONE"))
- {
- frq.stats = 0;
- frq.n_stats = 0;
- }
+ if (lex_match_id (lexer, "DEFAULT"))
+ frq.stats = DEFAULT_STATS;
else if (lex_match (lexer, T_ALL))
- {
- frq.stats = ~0;
- frq.n_stats = FRQ_ST_count;
- }
+ frq.stats = (1 << FRQ_ST_count) - 1;
+ else if (lex_match_id (lexer, "NONE"))
+ frq.stats = 0;
else
{
- lex_error (lexer, NULL);
- goto error;
+#define S(ENUM, KEYWORD, NAME) KEYWORD,
+ lex_error_expecting (lexer,
+ STATISTICS
+ "DEFAULT", "ALL", "NONE");
+#undef S
+ goto done;
}
+
+ next:;
}
+
+ if (lex_ofs (lexer) == ofs)
+ frq.stats = DEFAULT_STATS;
}
else if (lex_match_id (lexer, "PERCENTILES"))
{
while (lex_token (lexer) != T_ENDCMD
&& lex_token (lexer) != T_SLASH)
{
- if (lex_force_num (lexer))
- {
- frq.percentiles =
- xrealloc (frq.percentiles,
- (frq.n_percentiles + 1)
- * sizeof (*frq.percentiles));
- frq.percentiles[frq.n_percentiles].p = lex_number (lexer) / 100.0;
- frq.percentiles[frq.n_percentiles].show = true;
- lex_get (lexer);
- frq.n_percentiles++;
- frq.n_show_percentiles++;
- }
- else
- {
- lex_error (lexer, NULL);
- goto error;
- }
+ if (!lex_force_num_range_closed (lexer, "PERCENTILES", 0, 100))
+ goto done;
+ add_percentile (&frq, lex_number (lexer) / 100.0, true,
+ &allocated_percentiles);
+ lex_get (lexer);
+ lex_match (lexer, T_COMMA);
}
}
else if (lex_match_id (lexer, "FORMAT"))
{
if (lex_match_id (lexer, "TABLE"))
{
-
}
else if (lex_match_id (lexer, "NOTABLE"))
- {
- frq.max_categories = 0;
- }
+ frq.max_categories = 0;
+ else if (lex_match_id (lexer, "LIMIT"))
+ {
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_int_range (lexer, "LIMIT", 0, INT_MAX))
+ goto done;
+
+ frq.max_categories = lex_integer (lexer);
+ lex_get (lexer);
+
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
+ }
else if (lex_match_id (lexer, "AVALUE"))
- {
- frq.sort = FRQ_AVALUE;
- }
+ frq.sort = FRQ_AVALUE;
else if (lex_match_id (lexer, "DVALUE"))
- {
- frq.sort = FRQ_DVALUE;
- }
+ frq.sort = FRQ_DVALUE;
else if (lex_match_id (lexer, "AFREQ"))
- {
- frq.sort = FRQ_AFREQ;
- }
+ frq.sort = FRQ_AFREQ;
else if (lex_match_id (lexer, "DFREQ"))
- {
- frq.sort = FRQ_DFREQ;
- }
+ frq.sort = FRQ_DFREQ;
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "TABLE", "NOTABLE",
+ "LIMIT", "AVALUE", "DVALUE",
+ "AFREQ", "DFREQ");
+ goto done;
}
}
}
{
lex_match (lexer, T_EQUALS);
- if (lex_force_int (lexer))
- {
- int i;
- int n = lex_integer (lexer);
- lex_get (lexer);
- for (i = 0; i < n + 1; ++i)
- {
- frq.percentiles =
- xrealloc (frq.percentiles,
- (frq.n_percentiles + 1)
- * sizeof (*frq.percentiles));
- frq.percentiles[frq.n_percentiles].p =
- i / (double) n ;
- frq.percentiles[frq.n_percentiles].show = true;
-
- frq.n_percentiles++;
- frq.n_show_percentiles++;
- }
- }
- else
- {
- lex_error (lexer, NULL);
- goto error;
- }
+ if (!lex_force_int_range (lexer, "NTILES", 0, INT_MAX))
+ goto done;
+
+ int n = lex_integer (lexer);
+ lex_get (lexer);
+ for (int i = 0; i < n + 1; ++i)
+ add_percentile (&frq, i / (double) n, true, &allocated_percentiles);
}
else if (lex_match_id (lexer, "ALGORITHM"))
{
lex_match (lexer, T_EQUALS);
if (lex_match_id (lexer, "COMPATIBLE"))
- {
- settings_set_cmd_algorithm (COMPATIBLE);
- }
+ settings_set_cmd_algorithm (COMPATIBLE);
else if (lex_match_id (lexer, "ENHANCED"))
- {
- settings_set_cmd_algorithm (ENHANCED);
- }
+ settings_set_cmd_algorithm (ENHANCED);
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "COMPATIBLE", "ENHANCED");
+ goto done;
}
}
else if (lex_match_id (lexer, "HISTOGRAM"))
{
+ double hi_min = -DBL_MAX;
+ double hi_max = DBL_MAX;
+ int hi_scale = FRQ_FREQ;
+ int hi_freq = INT_MIN;
+ int hi_pcnt = INT_MIN;
+ bool hi_draw_normal = false;
+
lex_match (lexer, T_EQUALS);
- sbc_histogram = true;
while (lex_token (lexer) != T_ENDCMD
&& lex_token (lexer) != T_SLASH)
{
if (lex_match_id (lexer, "NORMAL"))
- {
- hi_norm = FRQ_NORMAL;
- }
+ hi_draw_normal = true;
else if (lex_match_id (lexer, "NONORMAL"))
- {
- hi_norm = FRQ_NONORMAL;
- }
+ hi_draw_normal = false;
else if (lex_match_id (lexer, "FREQ"))
{
hi_scale = FRQ_FREQ;
if (lex_match (lexer, T_LPAREN))
{
- if (lex_force_int (lexer))
- {
- hi_freq = lex_integer (lexer);
- if (hi_freq <= 0)
- {
- lex_error (lexer, _("Histogram frequency must be greater than zero."));
- }
- lex_get (lexer);
- lex_force_match (lexer, T_RPAREN);
- }
+ if (!lex_force_int_range (lexer, "FREQ", 1, INT_MAX))
+ goto done;
+ hi_freq = lex_integer (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
}
else if (lex_match_id (lexer, "PERCENT"))
hi_scale = FRQ_PERCENT;
if (lex_match (lexer, T_LPAREN))
{
- if (lex_force_int (lexer))
- {
- hi_pcnt = lex_integer (lexer);
- if (hi_pcnt <= 0)
- {
- lex_error (lexer, _("Histogram percentage must be greater than zero."));
- }
- lex_get (lexer);
- lex_force_match (lexer, T_RPAREN);
- }
+ if (!lex_force_int_range (lexer, "PERCENT", 1, INT_MAX))
+ goto done;
+ hi_pcnt = lex_integer (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
}
else if (lex_match_id (lexer, "MINIMUM"))
{
- lex_force_match (lexer, T_LPAREN);
- if (lex_force_num (lexer))
- {
- hi_min = lex_number (lexer);
- lex_get (lexer);
- }
- lex_force_match (lexer, T_RPAREN);
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MINIMUM",
+ -DBL_MAX, hi_max))
+ goto done;
+ hi_min = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
else if (lex_match_id (lexer, "MAXIMUM"))
{
- lex_force_match (lexer, T_LPAREN);
- if (lex_force_num (lexer))
- {
- hi_max = lex_number (lexer);
- lex_get (lexer);
- }
- lex_force_match (lexer, T_RPAREN);
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MAXIMUM",
+ hi_min, DBL_MAX))
+ goto done;
+ hi_max = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "NORMAL", "NONORMAL",
+ "FREQ", "PERCENT", "MINIMUM", "MAXIMUM");
+ goto done;
}
}
+
+ free (frq.hist);
+ frq.hist = xmalloc (sizeof *frq.hist);
+ *frq.hist = (struct frq_chart) {
+ .x_min = hi_min,
+ .x_max = hi_max,
+ .y_scale = hi_scale,
+ .y_max = hi_scale == FRQ_FREQ ? hi_freq : hi_pcnt,
+ .draw_normal = hi_draw_normal,
+ .include_missing = false,
+ };
+
+ add_percentile (&frq, .25, false, &allocated_percentiles);
+ add_percentile (&frq, .75, false, &allocated_percentiles);
}
else if (lex_match_id (lexer, "PIECHART"))
{
+ double pie_min = -DBL_MAX;
+ double pie_max = DBL_MAX;
+ bool pie_missing = true;
+
lex_match (lexer, T_EQUALS);
while (lex_token (lexer) != T_ENDCMD
&& lex_token (lexer) != T_SLASH)
{
if (lex_match_id (lexer, "MINIMUM"))
{
- lex_force_match (lexer, T_LPAREN);
- if (lex_force_num (lexer))
- {
- pie_min = lex_number (lexer);
- lex_get (lexer);
- }
- lex_force_match (lexer, T_RPAREN);
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MINIMUM",
+ -DBL_MAX, pie_max))
+ goto done;
+ pie_min = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
else if (lex_match_id (lexer, "MAXIMUM"))
{
- lex_force_match (lexer, T_LPAREN);
- if (lex_force_num (lexer))
- {
- pie_max = lex_number (lexer);
- lex_get (lexer);
- }
- lex_force_match (lexer, T_RPAREN);
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MAXIMUM",
+ pie_min, DBL_MAX))
+ goto done;
+ pie_max = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
}
else if (lex_match_id (lexer, "MISSING"))
+ pie_missing = true;
+ else if (lex_match_id (lexer, "NOMISSING"))
+ pie_missing = false;
+ else
{
- pie_missing = true;
+ lex_error_expecting (lexer, "MINIMUM", "MAXIMUM",
+ "MISSING", "NOMISSING");
+ goto done;
}
- else if (lex_match_id (lexer, "NOMISSING"))
+ }
+
+ free (frq.pie);
+ frq.pie = xmalloc (sizeof *frq.pie);
+ *frq.pie = (struct frq_chart) {
+ .x_min = pie_min,
+ .x_max = pie_max,
+ .include_missing = pie_missing,
+ };
+ }
+ else if (lex_match_id (lexer, "BARCHART"))
+ {
+ double bar_min = -DBL_MAX;
+ double bar_max = DBL_MAX;
+ bool bar_freq = true;
+
+ lex_match (lexer, T_EQUALS);
+ while (lex_token (lexer) != T_ENDCMD
+ && lex_token (lexer) != T_SLASH)
+ {
+ if (lex_match_id (lexer, "MINIMUM"))
+ {
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MINIMUM",
+ -DBL_MAX, bar_max))
+ goto done;
+ bar_min = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
+ }
+ else if (lex_match_id (lexer, "MAXIMUM"))
+ {
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num_range_closed (lexer, "MAXIMUM",
+ bar_min, DBL_MAX))
+ goto done;
+ bar_max = lex_number (lexer);
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
+ }
+ else if (lex_match_id (lexer, "FREQ"))
{
- pie_missing = false;
+ if (lex_match (lexer, T_LPAREN))
+ {
+ if (!lex_force_num_range_open (lexer, "FREQ", 0, DBL_MAX))
+ goto done;
+ /* XXX TODO */
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
+ }
+ bar_freq = true;
+ }
+ else if (lex_match_id (lexer, "PERCENT"))
+ {
+ if (lex_match (lexer, T_LPAREN))
+ {
+ if (!lex_force_num_range_open (lexer, "PERCENT",
+ 0, DBL_MAX))
+ goto done;
+ /* XXX TODO */
+ lex_get (lexer);
+ if (!lex_force_match (lexer, T_RPAREN))
+ goto done;
+ }
+ bar_freq = false;
}
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "MINIMUM", "MAXIMUM",
+ "FREQ", "PERCENT");
+ goto done;
}
}
- sbc_piechart = true;
+
+ free (frq.bar);
+ frq.bar = xmalloc (sizeof *frq.bar);
+ *frq.bar = (struct frq_chart) {
+ .x_min = bar_min,
+ .x_max = bar_max,
+ .include_missing = false,
+ .y_scale = bar_freq ? FRQ_FREQ : FRQ_PERCENT,
+ };
}
else if (lex_match_id (lexer, "MISSING"))
{
{
if (lex_match_id (lexer, "EXCLUDE"))
{
+ /* XXX TODO */
}
else if (lex_match_id (lexer, "INCLUDE"))
{
+ /* XXX TODO */
}
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "EXCLUDE", "INCLUDE");
+ goto done;
}
}
}
+ else if (lex_match_id (lexer, "ORDER"))
+ {
+ lex_match (lexer, T_EQUALS);
+ /* XXX TODO */
+ if (!lex_match_id (lexer, "ANALYSIS")
+ && !lex_match_id (lexer, "VARIABLE"))
+ {
+ lex_error_expecting (lexer, "ANALYSIS", "VARIABLE");
+ goto done;
+ }
+ }
else
{
- lex_error (lexer, NULL);
- goto error;
+ lex_error_expecting (lexer, "STATISTICS", "PERCENTILES", "FORMAT",
+ "NTILES", "ALGORITHM", "HISTOGRAM", "PIECHART",
+ "BARCHART", "MISSING", "ORDER");
+ goto done;
}
}
- if (frq.stats & FRQ_ST_MEDIAN)
- {
- frq.percentiles =
- xrealloc (frq.percentiles,
- (frq.n_percentiles + 1)
- * sizeof (*frq.percentiles));
-
- frq.percentiles[frq.n_percentiles].p = 0.50;
- frq.percentiles[frq.n_percentiles].show = true;
-
- frq.n_percentiles++;
- }
-
-
-/* Figure out which charts the user requested. */
-
- {
- if (sbc_barchart)
- msg (SW, _("Bar charts are not implemented."));
-
- if (sbc_histogram)
- {
- struct frq_chart *hist;
-
- hist = frq.hist = xmalloc (sizeof *frq.hist);
- hist->x_min = hi_min;
- hist->x_max = hi_max;
- hist->y_scale = hi_scale;
- hist->y_max = hi_scale == FRQ_FREQ ? hi_freq : hi_pcnt;
- hist->draw_normal = hi_norm != FRQ_NONORMAL;
- hist->include_missing = false;
-
- if (hist->x_min != SYSMIS && hist->x_max != SYSMIS
- && hist->x_min >= hist->x_max)
- {
- msg (SE, _("%s for histogram must be greater than or equal to %s, "
- "but %s was specified as %.15g and %s as %.15g. "
- "%s and %s will be ignored."),
- "MAX", "MIN",
- "MIN", hist->x_min,
- "MAX", hist->x_max,
- "MIN", "MAX");
- hist->x_min = hist->x_max = SYSMIS;
- }
-
- frq.percentiles =
- xrealloc (frq.percentiles,
- (frq.n_percentiles + 2)
- * sizeof (*frq.percentiles));
-
- frq.percentiles[frq.n_percentiles].p = 0.25;
- frq.percentiles[frq.n_percentiles].show = false;
-
- frq.percentiles[frq.n_percentiles + 1].p = 0.75;
- frq.percentiles[frq.n_percentiles + 1].show = false;
-
- frq.n_percentiles+=2;
- }
-
- if (sbc_piechart)
- {
- struct frq_chart *pie;
-
- pie = frq.pie = xmalloc (sizeof *frq.pie);
- pie->x_min = pie_min;
- pie->x_max = pie_max;
- pie->include_missing = pie_missing;
-
- if (pie->x_min != SYSMIS && pie->x_max != SYSMIS
- && pie->x_min >= pie->x_max)
- {
- msg (SE, _("%s for pie chart must be greater than or equal to %s, "
- "but %s was specified as %.15g and %s as %.15g. "
- "%s and %s will be ignored."),
- "MAX", "MIN",
- "MIN", pie->x_min,
- "MAX", pie->x_max,
- "MIN", "MAX");
- pie->x_min = pie->x_max = SYSMIS;
- }
- }
- }
-
- {
- int i,o;
- double previous_p = -1;
- qsort (frq.percentiles, frq.n_percentiles,
- sizeof (*frq.percentiles),
- ptile_3way);
-
- frq.n_show_percentiles = 0;
- for (i = o = 0; i < frq.n_percentiles; ++i)
- {
- frq.percentiles[o].p = frq.percentiles[i].p;
-
- if (frq.percentiles[i].show)
- frq.percentiles[o].show = true;
-
- if (frq.percentiles[i].p != previous_p)
- {
- if (frq.percentiles[i].show)
- frq.n_show_percentiles++;
-
- o++;
- }
-
- previous_p = frq.percentiles[i].p;
- }
-
- frq.n_percentiles = o;
- }
+ if (frq.stats & BIT_INDEX (FRQ_ST_MEDIAN))
+ add_percentile (&frq, .5, false, &allocated_percentiles);
- {
- struct casegrouper *grouper;
- struct casereader *group;
- bool ok;
+ if (frq.n_percentiles > 0)
+ {
+ qsort (frq.percentiles, frq.n_percentiles, sizeof *frq.percentiles,
+ percentile_compare_3way);
- grouper = casegrouper_create_splits (proc_open (ds), dataset_dict (ds));
- while (casegrouper_get_next_group (grouper, &group))
- {
- struct ccase *c;
- precalc (&frq, group, ds);
- for (; (c = casereader_read (group)) != NULL; case_unref (c))
- calc (&frq, c, ds);
- postcalc (&frq, ds);
- }
- ok = casegrouper_destroy (grouper);
- ok = proc_commit (ds) && ok;
- }
+ /* Combine equal percentiles. */
+ size_t o = 1;
+ for (int i = 1; i < frq.n_percentiles; ++i)
+ {
+ struct percentile *prev = &frq.percentiles[o - 1];
+ struct percentile *this = &frq.percentiles[i];
+ if (this->p != prev->p)
+ frq.percentiles[o++] = *this;
+ else if (this->show)
+ prev->show = true;
+ }
+ frq.n_percentiles = o;
+ for (size_t i = 0; i < frq.n_percentiles; i++)
+ if (frq.percentiles[i].p == 0.5)
+ {
+ frq.median_idx = i;
+ break;
+ }
+ }
- return CMD_SUCCESS;
+ frq_run (&frq, ds);
+ ok = true;
- error:
+done:
+ free (vars);
+ for (size_t i = 0; i < frq.n_vars; i++)
+ free (frq.vars[i].percentiles);
+ free (frq.vars);
+ free (frq.bar);
+ free (frq.pie);
+ free (frq.hist);
+ free (frq.percentiles);
- return CMD_FAILURE;
+ return ok ? CMD_SUCCESS : CMD_FAILURE;
}
static double
-calculate_iqr (const struct frq_proc *frq)
+calculate_iqr (const struct frq_proc *frq, const struct var_freqs *vf)
{
double q1 = SYSMIS;
double q3 = SYSMIS;
- int i;
/* This cannot work unless the 25th and 75th percentile are calculated */
assert (frq->n_percentiles >= 2);
- for (i = 0; i < frq->n_percentiles; i++)
+ for (int i = 0; i < frq->n_percentiles; i++)
{
struct percentile *pc = &frq->percentiles[i];
if (fabs (0.25 - pc->p) < DBL_EPSILON)
- q1 = pc->value;
+ q1 = vf->percentiles[i];
else if (fabs (0.75 - pc->p) < DBL_EPSILON)
- q3 = pc->value;
+ q3 = vf->percentiles[i];
}
return q1 == SYSMIS || q3 == SYSMIS ? SYSMIS : q3 - q1;
const struct variable *var,
const union value *value)
{
- if (!chart->include_missing && var_is_value_missing (var, value, MV_ANY))
+ if (!chart->include_missing && var_is_value_missing (var, value))
return false;
if (var_is_numeric (var)
/* Create a gsl_histogram from a freq_tab */
static struct histogram *
-freq_tab_to_hist (const struct frq_proc *frq, const struct freq_tab *ft,
- const struct variable *var)
+freq_tab_to_hist (const struct frq_proc *frq, const struct var_freqs *vf)
{
- double x_min, x_max, valid_freq;
- int i;
- double bin_width;
- struct histogram *histogram;
- double iqr;
-
/* Find out the extremes of the x value, within the range to be included in
the histogram, and sum the total frequency of those values. */
- x_min = DBL_MAX;
- x_max = -DBL_MAX;
- valid_freq = 0;
- for (i = 0; i < ft->n_valid; i++)
+ double x_min = DBL_MAX;
+ double x_max = -DBL_MAX;
+ double valid_freq = 0;
+ for (size_t i = 0; i < vf->tab.n_valid; i++)
{
- const struct freq *f = &ft->valid[i];
- if (chart_includes_value (frq->hist, var, &f->value))
+ const struct freq *f = &vf->tab.valid[i];
+ if (chart_includes_value (frq->hist, vf->var, f->values))
{
- x_min = MIN (x_min, f->value.f);
- x_max = MAX (x_max, f->value.f);
+ x_min = MIN (x_min, f->values[0].f);
+ x_max = MAX (x_max, f->values[0].f);
valid_freq += f->count;
}
}
+ if (valid_freq <= 0)
+ return NULL;
- iqr = calculate_iqr (frq);
-
- if (iqr > 0)
- /* Freedman-Diaconis' choice of bin width. */
- bin_width = 2 * iqr / pow (valid_freq, 1.0 / 3.0);
-
- else
- /* Sturges Rule */
- bin_width = (x_max - x_min) / (1 + log2 (valid_freq));
+ double iqr = calculate_iqr (frq, vf);
- histogram = histogram_create (bin_width, x_min, x_max);
+ double bin_width =
+ (iqr > 0
+ ? 2 * iqr / pow (valid_freq, 1.0 / 3.0) /* Freedman-Diaconis. */
+ : (x_max - x_min) / (1 + log2 (valid_freq))); /* Sturges */
- if ( histogram == NULL)
+ struct histogram *histogram = histogram_create (bin_width, x_min, x_max);
+ if (histogram == NULL)
return NULL;
- for (i = 0; i < ft->n_valid; i++)
+ for (size_t i = 0; i < vf->tab.n_valid; i++)
{
- const struct freq *f = &ft->valid[i];
- if (chart_includes_value (frq->hist, var, &f->value))
- histogram_add (histogram, f->value.f, f->count);
+ const struct freq *f = &vf->tab.valid[i];
+ if (chart_includes_value (frq->hist, vf->var, f->values))
+ histogram_add (histogram, f->values[0].f, f->count);
}
return histogram;
}
-static int
-add_slice (const struct frq_chart *pie, const struct freq *freq,
- const struct variable *var, struct slice *slice)
+
+/* Allocate an array of struct freqs and fill them from the data in FRQ_TAB,
+ according to the parameters of CATCHART
+ N_SLICES will contain the number of slices allocated.
+ The caller is responsible for freeing slices
+*/
+static struct freq *
+pick_cat_counts (const struct frq_chart *catchart,
+ const struct freq_tab *frq_tab,
+ int *n_slicesp)
{
- if (chart_includes_value (pie, var, &freq->value))
+ int n_slices = 0;
+ struct freq *slices = xnmalloc (frq_tab->n_valid + frq_tab->n_missing, sizeof *slices);
+
+ for (size_t i = 0; i < frq_tab->n_valid; i++)
{
- ds_init_empty (&slice->label);
- var_append_value_name (var, &freq->value, &slice->label);
- slice->magnitude = freq->count;
- return 1;
+ struct freq *f = &frq_tab->valid[i];
+ if (f->count >= catchart->x_min && f->count <= catchart->x_max)
+ slices[n_slices++] = *f;
}
- else
- return 0;
+
+
+ if (catchart->include_missing)
+ {
+ for (size_t i = 0; i < frq_tab->n_missing; i++)
+ {
+ const struct freq *f = &frq_tab->missing[i];
+ slices[n_slices].count += f->count;
+
+ if (i == 0)
+ slices[n_slices].values[0] = f->values[0];
+ }
+
+ if (frq_tab->n_missing > 0)
+ n_slices++;
+ }
+
+ *n_slicesp = n_slices;
+ return slices;
}
-/* Allocate an array of slices and fill them from the data in frq_tab
- n_slices will contain the number of slices allocated.
+
+/* Allocate an array of struct freqs and fill them from the data in FRQ_TAB,
+ according to the parameters of CATCHART
+ N_SLICES will contain the number of slices allocated.
The caller is responsible for freeing slices
*/
-static struct slice *
-freq_tab_to_slice_array(const struct frq_chart *pie,
- const struct freq_tab *frq_tab,
- const struct variable *var,
- int *n_slicesp)
+static struct freq **
+pick_cat_counts_ptr (const struct frq_chart *catchart,
+ const struct freq_tab *frq_tab,
+ int *n_slicesp)
{
- struct slice *slices;
- int n_slices;
- int i;
+ int n_slices = 0;
+ struct freq **slices = xnmalloc (frq_tab->n_valid + frq_tab->n_missing, sizeof *slices);
- slices = xnmalloc (frq_tab->n_valid + frq_tab->n_missing, sizeof *slices);
- n_slices = 0;
+ for (size_t i = 0; i < frq_tab->n_valid; i++)
+ {
+ struct freq *f = &frq_tab->valid[i];
+ if (f->count >= catchart->x_min && f->count <= catchart->x_max)
+ slices[n_slices++] = f;
+ }
- for (i = 0; i < frq_tab->n_valid; i++)
- n_slices += add_slice (pie, &frq_tab->valid[i], var, &slices[n_slices]);
- for (i = 0; i < frq_tab->n_missing; i++)
- n_slices += add_slice (pie, &frq_tab->missing[i], var, &slices[n_slices]);
+ if (catchart->include_missing)
+ for (size_t i = 0; i < frq_tab->n_missing; i++)
+ {
+ const struct freq *f = &frq_tab->missing[i];
+ if (i == 0)
+ {
+ slices[n_slices] = xmalloc (sizeof *slices[n_slices]);
+ slices[n_slices]->values[0] = f->values[0];
+ }
+
+ slices[n_slices]->count += f->count;
+ }
*n_slicesp = n_slices;
return slices;
}
-
static void
-do_piechart(const struct frq_chart *pie, const struct variable *var,
- const struct freq_tab *frq_tab)
+do_piechart (const struct frq_chart *pie, const struct variable *var,
+ const struct freq_tab *frq_tab)
{
- struct slice *slices;
- int n_slices, i;
-
- slices = freq_tab_to_slice_array (pie, frq_tab, var, &n_slices);
+ int n_slices;
+ struct freq *slices = pick_cat_counts (pie, frq_tab, &n_slices);
if (n_slices < 2)
msg (SW, _("Omitting pie chart for %s, which has only %d unique values."),
msg (SW, _("Omitting pie chart for %s, which has over 50 unique values."),
var_get_name (var));
else
- chart_item_submit (piechart_create (var_to_string(var), slices, n_slices));
+ chart_submit (piechart_create (var, slices, n_slices));
+
+ free (slices);
+}
- for (i = 0; i < n_slices; i++)
- ds_destroy (&slices[i].label);
+static void
+do_barchart (const struct frq_chart *bar, const struct variable **var,
+ const struct freq_tab *frq_tab)
+{
+ int n_slices;
+ struct freq **slices = pick_cat_counts_ptr (bar, frq_tab, &n_slices);
+
+ if (n_slices < 1)
+ msg (SW, _("Omitting bar chart, which has no values."));
+ else
+ chart_submit (barchart_create (
+ var, 1,
+ bar->y_scale == FRQ_FREQ ? _("Count") : _("Percent"),
+ bar->y_scale == FRQ_PERCENT,
+ slices, n_slices));
free (slices);
}
/* Calculates all the pertinent statistics for VF, putting them in array
D[]. */
static void
-calc_stats (const struct var_freqs *vf, double d[FRQ_ST_count])
+calc_stats (const struct frq_proc *frq, const struct var_freqs *vf,
+ double d[FRQ_ST_count])
{
const struct freq_tab *ft = &vf->tab;
- double W = ft->valid_cases;
- const struct freq *f;
- struct moments *m;
- int most_often;
- double X_mode;
- assert (ft->n_valid > 0);
-
- /* Calculate the mode. */
- most_often = -1;
- X_mode = SYSMIS;
- for (f = ft->valid; f < ft->missing; f++)
- {
- if (most_often < f->count)
- {
- most_often = f->count;
- X_mode = f->value.f;
- }
- else if (most_often == f->count)
- {
- /* A duplicate mode is undefined.
- FIXME: keep track of *all* the modes. */
- X_mode = SYSMIS;
- }
- }
+ /* Calculate the mode. If there is more than one mode, we take the
+ smallest. */
+ int most_often = -1;
+ double X_mode = SYSMIS;
+ for (const struct freq *f = ft->valid; f < ft->missing; f++)
+ if (most_often < f->count)
+ {
+ most_often = f->count;
+ X_mode = f->values[0].f;
+ }
/* Calculate moments. */
- m = moments_create (MOMENT_KURTOSIS);
- for (f = ft->valid; f < ft->missing; f++)
- moments_pass_one (m, f->value.f, f->count);
- for (f = ft->valid; f < ft->missing; f++)
- moments_pass_two (m, f->value.f, f->count);
+ struct moments *m = moments_create (MOMENT_KURTOSIS);
+ for (const struct freq *f = ft->valid; f < ft->missing; f++)
+ moments_pass_one (m, f->values[0].f, f->count);
+ for (const struct freq *f = ft->valid; f < ft->missing; f++)
+ moments_pass_two (m, f->values[0].f, f->count);
moments_calculate (m, NULL, &d[FRQ_ST_MEAN], &d[FRQ_ST_VARIANCE],
&d[FRQ_ST_SKEWNESS], &d[FRQ_ST_KURTOSIS]);
moments_destroy (m);
- /* Formulas below are taken from _SPSS Statistical Algorithms_. */
- d[FRQ_ST_MINIMUM] = ft->valid[0].value.f;
- d[FRQ_ST_MAXIMUM] = ft->valid[ft->n_valid - 1].value.f;
+ /* Formulae below are taken from _SPSS Statistical Algorithms_. */
+ double W = ft->valid_cases;
+ if (ft->n_valid > 0)
+ {
+ d[FRQ_ST_MINIMUM] = ft->valid[0].values[0].f;
+ d[FRQ_ST_MAXIMUM] = ft->valid[ft->n_valid - 1].values[0].f;
+ d[FRQ_ST_RANGE] = d[FRQ_ST_MAXIMUM] - d[FRQ_ST_MINIMUM];
+ }
+ else
+ {
+ d[FRQ_ST_MINIMUM] = SYSMIS;
+ d[FRQ_ST_MAXIMUM] = SYSMIS;
+ d[FRQ_ST_RANGE] = SYSMIS;
+ }
d[FRQ_ST_MODE] = X_mode;
- d[FRQ_ST_RANGE] = d[FRQ_ST_MAXIMUM] - d[FRQ_ST_MINIMUM];
d[FRQ_ST_SUM] = d[FRQ_ST_MEAN] * W;
d[FRQ_ST_STDDEV] = sqrt (d[FRQ_ST_VARIANCE]);
d[FRQ_ST_SEMEAN] = d[FRQ_ST_STDDEV] / sqrt (W);
d[FRQ_ST_SESKEWNESS] = calc_seskew (W);
d[FRQ_ST_SEKURTOSIS] = calc_sekurt (W);
+ d[FRQ_ST_MEDIAN] = (frq->median_idx != SIZE_MAX
+ ? vf->percentiles[frq->median_idx]
+ : SYSMIS);
}
-/* Displays a table of all the statistics requested for variable V. */
-static void
-dump_statistics (const struct frq_proc *frq, const struct var_freqs *vf,
- const struct variable *wv)
+static bool
+all_string_variables (const struct frq_proc *frq)
{
- const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : &F_8_0;
- const struct freq_tab *ft = &vf->tab;
- double stat_value[FRQ_ST_count];
- struct tab_table *t;
- int i, r;
+ for (size_t i = 0; i < frq->n_vars; i++)
+ if (var_is_numeric (frq->vars[i].var))
+ return false;
- if (var_is_alpha (vf->var))
- return;
+ return true;
+}
+\f
+struct frq_stats_table
+ {
+ struct pivot_table *table;
+ struct pivot_splits *splits;
+ };
+
+/* Displays a table of all the statistics requested. */
+static struct frq_stats_table *
+frq_stats_table_create (const struct frq_proc *frq,
+ const struct dictionary *dict,
+ const struct variable *wv)
+{
+ if (all_string_variables (frq))
+ return NULL;
- if (ft->n_valid == 0)
+ struct pivot_table *table = pivot_table_create (N_("Statistics"));
+ pivot_table_set_weight_var (table, wv);
+
+ struct pivot_dimension *variables
+ = pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Variables"));
+ for (size_t i = 0; i < frq->n_vars; i++)
+ if (!var_is_alpha (frq->vars[i].var))
+ pivot_category_create_leaf (variables->root,
+ pivot_value_new_variable (frq->vars[i].var));
+
+ struct pivot_dimension *statistics = pivot_dimension_create (
+ table, PIVOT_AXIS_ROW, N_("Statistics"));
+ struct pivot_category *n = pivot_category_create_group (
+ statistics->root, N_("N"));
+ pivot_category_create_leaves (n,
+ N_("Valid"), PIVOT_RC_COUNT,
+ N_("Missing"), PIVOT_RC_COUNT);
+ for (int i = 0; i < FRQ_ST_count; i++)
+ if (frq->stats & BIT_INDEX (i))
+ pivot_category_create_leaf (statistics->root,
+ pivot_value_new_text (st_names[i]));
+ struct pivot_category *percentiles = NULL;
+ for (size_t i = 0; i < frq->n_percentiles; i++)
{
- msg (SW, _("No valid data for variable %s; statistics not displayed."),
- var_get_name (vf->var));
- return;
- }
- calc_stats (vf, stat_value);
+ const struct percentile *pc = &frq->percentiles[i];
- t = tab_create (3, ((frq->stats & FRQ_ST_MEDIAN) ? frq->n_stats - 1 : frq->n_stats)
- + frq->n_show_percentiles + 2);
- tab_set_format (t, RC_WEIGHT, wfmt);
- tab_box (t, TAL_1, TAL_1, -1, -1 , 0 , 0 , 2, tab_nr(t) - 1) ;
+ if (!pc->show)
+ continue;
+ if (!percentiles)
+ percentiles = pivot_category_create_group (
+ statistics->root, N_("Percentiles"));
+ pivot_category_create_leaf (percentiles, pivot_value_new_integer (
+ pc->p * 100.0));
+ }
- tab_vline (t, TAL_1 , 2, 0, tab_nr(t) - 1);
- tab_vline (t, TAL_GAP , 1, 0, tab_nr(t) - 1 ) ;
+ struct pivot_splits *splits = pivot_splits_create (table, PIVOT_AXIS_COLUMN,
+ dict);
- r = 2; /* N missing and N valid are always dumped */
+ struct frq_stats_table *fst = xmalloc (sizeof *fst);
+ *fst = (struct frq_stats_table) { .table = table, .splits = splits };
+ return fst;
+}
- for (i = 0; i < FRQ_ST_count; i++)
+static struct frq_stats_table *
+frq_stats_table_submit (struct frq_stats_table *fst,
+ const struct frq_proc *frq,
+ const struct dictionary *dict,
+ const struct variable *wv,
+ const struct ccase *example)
+{
+ if (!fst)
{
- if (FRQ_ST_MEDIAN == i)
- continue;
-
- if (frq->stats & BIT_INDEX (i))
- {
- tab_text (t, 0, r, TAB_LEFT | TAT_TITLE,
- gettext (st_name[i]));
- tab_double (t, 2, r, TAB_NONE, stat_value[i], NULL, RC_OTHER);
- r++;
- }
+ fst = frq_stats_table_create (frq, dict, wv);
+ if (!fst)
+ return NULL;
}
+ pivot_splits_new_split (fst->splits, example);
- tab_text (t, 0, 0, TAB_LEFT | TAT_TITLE, _("N"));
- tab_text (t, 1, 0, TAB_LEFT | TAT_TITLE, _("Valid"));
- tab_text (t, 1, 1, TAB_LEFT | TAT_TITLE, _("Missing"));
+ int var_idx = 0;
+ for (size_t i = 0; i < frq->n_vars; i++)
+ {
+ struct var_freqs *vf = &frq->vars[i];
+ if (var_is_alpha (vf->var))
+ continue;
- tab_double (t, 2, 0, TAB_NONE, ft->valid_cases, NULL, RC_WEIGHT);
- tab_double (t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, NULL, RC_WEIGHT);
+ const struct freq_tab *ft = &vf->tab;
- for (i = 0; i < frq->n_percentiles; i++)
- {
- const struct percentile *pc = &frq->percentiles[i];
+ int row = 0;
+ pivot_splits_put2 (fst->splits, fst->table, var_idx, row++,
+ pivot_value_new_number (ft->valid_cases));
+ pivot_splits_put2 (fst->splits, fst->table, var_idx, row++,
+ pivot_value_new_number (
+ ft->total_cases - ft->valid_cases));
- if (!pc->show)
- continue;
+ double stat_values[FRQ_ST_count];
+ calc_stats (frq, vf, stat_values);
+ for (int j = 0; j < FRQ_ST_count; j++)
+ {
+ if (!(frq->stats & BIT_INDEX (j)))
+ continue;
+
+ union value v = { .f = vf->tab.n_valid ? stat_values[j] : SYSMIS };
+ struct pivot_value *pv
+ = (j == FRQ_ST_MODE || j == FRQ_ST_MINIMUM || j == FRQ_ST_MAXIMUM
+ ? pivot_value_new_var_value (vf->var, &v)
+ : pivot_value_new_number (v.f));
+ pivot_splits_put2 (fst->splits, fst->table, var_idx, row++, pv);
+ }
- if ( i == 0 )
- {
- tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, _("Percentiles"));
- }
+ for (size_t j = 0; j < frq->n_percentiles; j++)
+ {
+ const struct percentile *pc = &frq->percentiles[j];
+ if (!pc->show)
+ continue;
+
+ union value v = {
+ .f = vf->tab.n_valid ? vf->percentiles[j] : SYSMIS
+ };
+ pivot_splits_put2 (fst->splits, fst->table, var_idx, row++,
+ pivot_value_new_var_value (vf->var, &v));
+ }
- if (pc->p == 0.5)
- tab_text (t, 1, r, TAB_LEFT, _("50 (Median)"));
- else
- tab_double (t, 1, r, TAB_LEFT, pc->p * 100, NULL, RC_INTEGER);
- tab_double (t, 2, r, TAB_NONE, pc->value,
- var_get_print_format (vf->var), RC_OTHER);
- r++;
+ var_idx++;
}
- tab_title (t, "%s", var_to_string (vf->var));
-
- tab_submit (t);
+ if (!fst->splits)
+ {
+ frq_stats_table_destroy (fst);
+ return NULL;
+ }
+ return fst;
}
+static void
+frq_stats_table_destroy (struct frq_stats_table *fst)
+{
+ if (!fst)
+ return;
+
+ pivot_table_submit (fst->table);
+ pivot_splits_destroy (fst->splits);
+ free (fst);
+}
projects / pspp / blobdiff