/* PSPP - a program for statistical analysis.
- Copyright (C) 1997-9, 2000, 2007, 2009 Free Software Foundation, Inc.
+ Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011 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
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>. */
-/*
- TODO:
-
- * Remember that histograms, bar charts need mean, stddev.
-*/
-
#include <config.h>
#include <math.h>
#include <stdlib.h>
#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 <data/variable.h>
-#include <language/command.h>
-#include <language/dictionary/split-file.h>
-#include <language/lexer/lexer.h>
-#include <libpspp/array.h>
-#include <libpspp/bit-vector.h>
-#include <libpspp/compiler.h>
-#include <libpspp/hash.h>
-#include <libpspp/message.h>
-#include <libpspp/misc.h>
-#include <libpspp/pool.h>
-#include <libpspp/str.h>
-#include <math/histogram.h>
-#include <math/moments.h>
-#include <output/chart.h>
-#include <output/charts/piechart.h>
-#include <output/charts/plot-hist.h>
-#include <output/manager.h>
-#include <output/output.h>
-#include <output/table.h>
-
-#include "freq.h"
-
-#include "minmax.h"
-#include "xalloc.h"
+#include "data/case.h"
+#include "data/casegrouper.h"
+#include "data/casereader.h"
+#include "data/dataset.h"
+#include "data/dictionary.h"
+#include "data/format.h"
+#include "data/settings.h"
+#include "data/value-labels.h"
+#include "data/variable.h"
+#include "language/command.h"
+#include "language/dictionary/split-file.h"
+#include "language/lexer/lexer.h"
+#include "language/stats/freq.h"
+#include "libpspp/array.h"
+#include "libpspp/bit-vector.h"
+#include "libpspp/compiler.h"
+#include "libpspp/hmap.h"
+#include "libpspp/message.h"
+#include "libpspp/misc.h"
+#include "libpspp/pool.h"
+#include "libpspp/str.h"
+#include "math/histogram.h"
+#include "math/moments.h"
+#include "output/chart-item.h"
+#include "output/charts/piechart.h"
+#include "output/charts/plot-hist.h"
+#include "output/tab.h"
+
+#include "gl/minmax.h"
+#include "gl/xalloc.h"
#include "gettext.h"
#define _(msgid) gettext (msgid)
/* (specification)
FREQUENCIES (frq_):
*+variables=custom;
- +format=cond:condense/onepage(*n:onepage_limit,"%s>=0")/!standard,
- table:limit(n:limit,"%s>0")/notable/!table,
- labels:!labels/nolabels,
- sort:!avalue/dvalue/afreq/dfreq,
- spaces:!single/double,
- paging:newpage/!oldpage;
+ +format=table:limit(n:limit,"%s>0")/notable/!table,
+ sort:!avalue/dvalue/afreq/dfreq;
missing=miss:include/!exclude;
barchart(ba_)=:minimum(d:min),
:maximum(d:max),
scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0");
piechart(pie_)=:minimum(d:min),
:maximum(d:max),
- missing:missing/!nomissing;
+ missing:missing/!nomissing,
+ scale:!freq/percent;
histogram(hi_)=:minimum(d:min),
:maximum(d:max),
scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0"),
- norm:!nonormal/normal,
- incr:increment(d:inc,"%s>0");
- hbar(hb_)=:minimum(d:min),
- :maximum(d:max),
- scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0"),
- norm:!nonormal/normal,
- incr:increment(d:inc,"%s>0");
+ norm:!nonormal/normal;
+grouped=custom;
+ntiles=integer;
+percentiles = double list;
- +statistics[st_]=1|mean,2|semean,3|median,4|mode,5|stddev,6|variance,
- 7|kurtosis,8|skewness,9|range,10|minimum,11|maximum,12|sum,
- 13|default,14|seskewness,15|sekurtosis,all,none.
+ +statistics[st_]=mean,semean,median,mode,stddev,variance,
+ kurtosis,skewness,range,minimum,maximum,sum,
+ default,seskewness,sekurtosis,all,none.
*/
/* (declarations) */
/* (functions) */
/* Statistics. */
enum
{
- frq_mean = 0, frq_semean, frq_median, frq_mode, frq_stddev, frq_variance,
- frq_kurt, frq_sekurt, frq_skew, frq_seskew, frq_range, frq_min, frq_max,
- frq_sum, frq_n_stats
+ FRQ_MEAN, FRQ_SEMEAN, FRQ_MEDIAN, FRQ_MODE, FRQ_STDDEV, FRQ_VARIANCE,
+ FRQ_KURT, FRQ_SEKURT, FRQ_SKEW, FRQ_SESKEW, FRQ_RANGE, FRQ_MIN, FRQ_MAX,
+ FRQ_SUM, FRQ_N_STATS
};
/* Description of a statistic. */
};
/* Table of statistics, indexed by dsc_*. */
-static const 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")},
{
double p; /* the %ile to be calculated */
double value; /* the %ile's value */
- double x1; /* The datum value <= the percentile */
- double x2; /* The datum value >= the percentile */
- int flag;
- int flag2; /* Set to 1 if this percentile value has been found */
+ bool show; /* True to show this percentile in the statistics box. */
};
-
-static void add_percentile (double x) ;
-
-static struct percentile *percentiles;
-static int n_percentiles;
-
/* Groups of statistics. */
#define BI BIT_INDEX
-#define frq_default \
- (BI (frq_mean) | BI (frq_stddev) | BI (frq_min) | BI (frq_max))
-#define frq_all \
- (BI (frq_sum) | BI(frq_min) | BI(frq_max) \
- | BI(frq_mean) | BI(frq_semean) | BI(frq_stddev) \
- | BI(frq_variance) | BI(frq_kurt) | BI(frq_sekurt) \
- | BI(frq_skew) | BI(frq_seskew) | BI(frq_range) \
- | BI(frq_range) | BI(frq_mode) | BI(frq_median))
-
-/* Statistics; number of statistics. */
-static unsigned long stats;
-static int n_stats;
-
-/* Types of graphs. */
-enum
+#define FRQ_DEFAULT \
+ (BI (FRQ_MEAN) | BI (FRQ_STDDEV) | BI (FRQ_MIN) | BI (FRQ_MAX))
+#define FRQ_ALL \
+ (BI (FRQ_SUM) | BI(FRQ_MIN) | BI(FRQ_MAX) \
+ | BI(FRQ_MEAN) | BI(FRQ_SEMEAN) | BI(FRQ_STDDEV) \
+ | BI(FRQ_VARIANCE) | BI(FRQ_KURT) | BI(FRQ_SEKURT) \
+ | BI(FRQ_SKEW) | BI(FRQ_SESKEW) | BI(FRQ_RANGE) \
+ | BI(FRQ_RANGE) | BI(FRQ_MODE) | BI(FRQ_MEDIAN))
+
+struct frq_chart
{
- GFT_NONE, /* Don't draw graphs. */
- GFT_BAR, /* Draw bar charts. */
- GFT_HIST, /* Draw histograms. */
- GFT_PIE, /* Draw piechart */
- GFT_HBAR /* Draw bar charts or histograms at our discretion. */
- };
+ double x_min; /* X axis minimum value. */
+ double x_max; /* X axis maximum value. */
+ int y_scale; /* Y axis scale: FRQ_FREQ or FRQ_PERCENT. */
-/* Parsed command. */
-static struct cmd_frequencies cmd;
+ /* Histograms only. */
+ double y_max; /* Y axis maximum value. */
+ bool draw_normal; /* Whether to draw normal curve. */
-/* Summary of the barchart, histogram, and hbar subcommands. */
-/* FIXME: These should not be mututally exclusive */
-static int chart; /* NONE/BAR/HIST/HBAR/PIE. */
-static double min, max; /* Minimum, maximum on y axis. */
-static int format; /* FREQ/PERCENT: Scaling of y axis. */
-static double scale, incr; /* FIXME */
-static int normal; /* FIXME */
-
-/* Variables for which to calculate statistics. */
-static size_t n_variables;
-static const struct variable **v_variables;
-
-/* Pools. */
-static struct pool *data_pool; /* For per-SPLIT FILE group data. */
-static struct pool *syntax_pool; /* For syntax-related data. */
+ /* Pie charts only. */
+ bool include_missing; /* Whether to include missing values. */
+ };
/* Frequency tables. */
/* Entire frequency table. */
struct freq_tab
{
- struct hsh_table *data; /* Undifferentiated data. */
+ struct hmap data; /* Hash table for accumulating counts. */
struct freq *valid; /* Valid freqs. */
int n_valid; /* Number of total freqs. */
+ const struct dictionary *dict; /* Source of entries in the table. */
- struct freq *missing; /* Missing freqs. */
+ struct freq *missing; /* Missing freqs. */
int n_missing; /* Number of missing freqs. */
/* Statistics. */
double valid_cases; /* Sum of weights of valid cases. */
};
-
/* Per-variable frequency data. */
struct var_freqs
{
+ struct variable *var;
+
/* Freqency table. */
struct freq_tab tab; /* Frequencies table to use. */
double *groups; /* Groups. */
/* Statistics. */
- double stat[frq_n_stats];
+ double stat[FRQ_N_STATS];
- /* Width and format for analysis and display.
- This is normally the same as "width" and "print" in struct
- variable, but in SPSS-compatible mode only the first
- MAX_SHORT_STRING bytes of long string variables are
- included. */
+ /* Variable attributes. */
int width;
struct fmt_spec print;
};
-static inline struct var_freqs *
-get_var_freqs (const struct variable *v)
-{
- return var_get_aux (v);
-}
+struct frq_proc
+ {
+ struct pool *pool;
-static void determine_charts (void);
+ struct var_freqs *vars;
+ size_t n_vars;
-static void calc_stats (const struct variable *v, double d[frq_n_stats]);
+ /* Percentiles to calculate and possibly display. */
+ struct percentile *percentiles;
+ int n_percentiles, n_show_percentiles;
-static void precalc (struct casereader *, struct dataset *);
-static void calc (const struct ccase *, const struct dataset *);
-static void postcalc (void);
+ /* Frequency table display. */
+ int max_categories; /* Maximum categories to show. */
+ int sort; /* FRQ_AVALUE or FRQ_DVALUE
+ or FRQ_ACOUNT or FRQ_DCOUNT. */
-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 *);
+ /* Statistics; number of statistics. */
+ unsigned long stats;
+ int n_stats;
-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;
-static hsh_compare_func compare_freq_numeric_d, compare_freq_alpha_d;
+ /* Histogram and pie chart settings. */
+ struct frq_chart *hist, *pie;
+ };
+static void determine_charts (struct frq_proc *,
+ const struct cmd_frequencies *);
-static void do_piechart(const struct variable *var,
- const struct freq_tab *frq_tab);
+static void calc_stats (const struct var_freqs *, double d[FRQ_N_STATS]);
+static void calc_percentiles (const struct frq_proc *,
+ const struct var_freqs *);
-struct histogram *
-freq_tab_to_hist(const struct freq_tab *ft, const struct variable *var);
+static void precalc (struct frq_proc *, struct casereader *, struct dataset *);
+static void calc (struct frq_proc *, const struct ccase *,
+ const struct dataset *);
+static void postcalc (struct frq_proc *, const struct dataset *);
+static void postprocess_freq_tab (const struct frq_proc *, struct var_freqs *);
+static void dump_freq_table (const struct var_freqs *,
+ const struct variable *weight_var);
+static void dump_statistics (const struct frq_proc *, const struct var_freqs *,
+ const struct variable *weight_var);
+static void cleanup_freq_tab (struct var_freqs *);
+static void add_percentile (struct frq_proc *, double x, bool show,
+ size_t *allocated_percentiles);
+
+static void do_piechart(const struct frq_chart *, const struct variable *,
+ const struct freq_tab *);
+
+struct histogram *freq_tab_to_hist(const struct frq_proc *,
+ const struct freq_tab *,
+ const struct variable *);
\f
/* Parser and outline. */
-static int internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds);
-
int
cmd_frequencies (struct lexer *lexer, struct dataset *ds)
{
- int result;
-
- syntax_pool = pool_create ();
- result = internal_cmd_frequencies (lexer, ds);
- pool_destroy (syntax_pool);
- syntax_pool=0;
- pool_destroy (data_pool);
- data_pool=0;
- free (v_variables);
- v_variables=0;
- return result;
-}
-
-static int
-internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds)
-{
+ struct cmd_frequencies cmd;
+ struct frq_proc frq;
struct casegrouper *grouper;
struct casereader *input, *group;
+ size_t allocated_percentiles;
bool ok;
int i;
- n_percentiles = 0;
- percentiles = NULL;
+ frq.pool = pool_create ();
+
+ frq.vars = NULL;
+ frq.n_vars = 0;
+
+ frq.percentiles = NULL;
+ frq.n_percentiles = 0;
+ frq.n_show_percentiles = 0;
+
+ frq.hist = NULL;
+ frq.pie = NULL;
- n_variables = 0;
- v_variables = NULL;
+ allocated_percentiles = 0;
- if (!parse_frequencies (lexer, ds, &cmd, NULL))
- return CMD_FAILURE;
+ if (!parse_frequencies (lexer, ds, &cmd, &frq))
+ {
+ pool_destroy (frq.pool);
+ return CMD_FAILURE;
+ }
- if (cmd.onepage_limit == LONG_MIN)
- cmd.onepage_limit = 50;
+ /* Figure out when to show frequency tables. */
+ frq.max_categories = (cmd.table == FRQ_NOTABLE ? -1
+ : cmd.table == FRQ_TABLE ? INT_MAX
+ : cmd.limit);
+ frq.sort = cmd.sort;
/* Figure out statistics to calculate. */
- stats = 0;
+ frq.stats = 0;
if (cmd.a_statistics[FRQ_ST_DEFAULT] || !cmd.sbc_statistics)
- stats |= frq_default;
+ frq.stats |= FRQ_DEFAULT;
if (cmd.a_statistics[FRQ_ST_ALL])
- stats |= frq_all;
+ frq.stats |= FRQ_ALL;
if (cmd.sort != FRQ_AVALUE && cmd.sort != FRQ_DVALUE)
- stats &= ~BIT_INDEX (frq_median);
- for (i = 0; i < frq_n_stats; i++)
+ frq.stats &= ~BIT_INDEX (FRQ_MEDIAN);
+ for (i = 0; i < FRQ_N_STATS; i++)
if (cmd.a_statistics[st_name[i].st_indx])
- stats |= BIT_INDEX (i);
- if (stats & frq_kurt)
- stats |= BIT_INDEX (frq_sekurt);
- if (stats & frq_skew)
- stats |= BIT_INDEX (frq_seskew);
+ frq.stats |= BIT_INDEX (i);
+ if (frq.stats & FRQ_KURT)
+ frq.stats |= BIT_INDEX (FRQ_SEKURT);
+ if (frq.stats & FRQ_SKEW)
+ frq.stats |= BIT_INDEX (FRQ_SESKEW);
/* Calculate n_stats. */
- n_stats = 0;
- for (i = 0; i < frq_n_stats; i++)
- if ((stats & BIT_INDEX (i)))
- n_stats++;
+ frq.n_stats = 0;
+ for (i = 0; i < FRQ_N_STATS; i++)
+ if ((frq.stats & BIT_INDEX (i)))
+ frq.n_stats++;
/* Charting. */
- determine_charts ();
- if (chart != GFT_NONE || cmd.sbc_ntiles)
+ determine_charts (&frq, &cmd);
+ if (cmd.sbc_histogram || cmd.sbc_piechart || cmd.sbc_ntiles)
cmd.sort = FRQ_AVALUE;
/* Work out what percentiles need to be calculated */
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 (&frq, subc_list_double_at(ptl_list, pl) / 100.0,
+ true, &allocated_percentiles);
}
}
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 (&frq, j / (double) cmd.n_ntiles[i], true,
+ &allocated_percentiles);
}
}
- if (stats & BIT_INDEX (frq_median))
+ if (frq.stats & BIT_INDEX (FRQ_MEDIAN))
{
/* Treat the median as the 50% percentile.
We output it in the percentiles table as "50 (Median)." */
- add_percentile (0.5);
- stats &= ~BIT_INDEX (frq_median);
- n_stats--;
+ add_percentile (&frq, 0.5, true, &allocated_percentiles);
+ frq.stats &= ~BIT_INDEX (FRQ_MEDIAN);
+ frq.n_stats--;
+ }
+ if (cmd.sbc_histogram)
+ {
+ add_percentile (&frq, 0.25, false, &allocated_percentiles);
+ add_percentile (&frq, 0.75, false, &allocated_percentiles);
}
/* Do it! */
{
struct ccase *c;
- precalc (group, ds);
+ precalc (&frq, group, ds);
for (; (c = casereader_read (group)) != NULL; case_unref (c))
- calc (c, ds);
- postcalc ();
+ calc (&frq, c, ds);
+ postcalc (&frq, ds);
}
ok = casegrouper_destroy (grouper);
ok = proc_commit (ds) && ok;
free_frequencies(&cmd);
+ pool_destroy (frq.pool);
+ free (frq.vars);
+ free (frq.percentiles);
+ free (frq.hist);
+ free (frq.pie);
+
return ok ? CMD_SUCCESS : CMD_CASCADING_FAILURE;
}
/* Figure out which charts the user requested. */
static void
-determine_charts (void)
+determine_charts (struct frq_proc *frq, const struct cmd_frequencies *cmd)
{
- int count = (!!cmd.sbc_histogram) + (!!cmd.sbc_barchart) +
- (!!cmd.sbc_hbar) + (!!cmd.sbc_piechart);
+ if (cmd->sbc_barchart)
+ msg (SW, _("Bar charts are not implemented."));
- if (!count)
+ if (cmd->sbc_histogram)
{
- chart = GFT_NONE;
- return;
- }
- else if (count > 1)
- {
- chart = GFT_HBAR;
- msg (SW, _("At most one of BARCHART, HISTOGRAM, or HBAR should be "
- "given. HBAR will be assumed. Argument values will be "
- "given precedence increasing along the order given."));
- }
- else if (cmd.sbc_histogram)
- chart = GFT_HIST;
- else if (cmd.sbc_barchart)
- chart = GFT_BAR;
- else if (cmd.sbc_piechart)
- chart = GFT_PIE;
- else
- chart = GFT_HBAR;
-
- min = max = SYSMIS;
- format = FRQ_FREQ;
- scale = SYSMIS;
- incr = SYSMIS;
- normal = 0;
-
- if (cmd.sbc_barchart)
- {
- if (cmd.ba_min != SYSMIS)
- min = cmd.ba_min;
- if (cmd.ba_max != SYSMIS)
- max = cmd.ba_max;
- if (cmd.ba_scale == FRQ_FREQ)
- {
- format = FRQ_FREQ;
- scale = cmd.ba_freq;
- }
- else if (cmd.ba_scale == FRQ_PERCENT)
- {
- format = FRQ_PERCENT;
- scale = cmd.ba_pcnt;
- }
+ struct frq_chart *hist;
+
+ hist = frq->hist = xmalloc (sizeof *frq->hist);
+ hist->x_min = cmd->hi_min;
+ hist->x_max = cmd->hi_max;
+ hist->y_scale = cmd->hi_scale;
+ hist->y_max = cmd->hi_scale == FRQ_FREQ ? cmd->hi_freq : cmd->hi_pcnt;
+ hist->draw_normal = cmd->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, _("MAX for histogram must be greater than or equal to MIN, "
+ "but MIN was specified as %.15g and MAX as %.15g. "
+ "MIN and MAX will be ignored."),
+ hist->x_min, hist->x_max);
+ hist->x_min = hist->x_max = SYSMIS;
+ }
}
- if (cmd.sbc_histogram)
+ if (cmd->sbc_piechart)
{
- if (cmd.hi_min != SYSMIS)
- min = cmd.hi_min;
- if (cmd.hi_max != SYSMIS)
- max = cmd.hi_max;
- if (cmd.hi_scale == FRQ_FREQ)
- {
- format = FRQ_FREQ;
- scale = cmd.hi_freq;
- }
- else if (cmd.hi_scale == FRQ_PERCENT)
- {
- format = FRQ_PERCENT;
- scale = cmd.ba_pcnt;
- }
- if (cmd.hi_norm != FRQ_NONORMAL )
- normal = 1;
- if (cmd.hi_incr == FRQ_INCREMENT)
- incr = cmd.hi_inc;
- }
+ struct frq_chart *pie;
- if (cmd.sbc_hbar)
- {
- if (cmd.hb_min != SYSMIS)
- min = cmd.hb_min;
- if (cmd.hb_max != SYSMIS)
- max = cmd.hb_max;
- if (cmd.hb_scale == FRQ_FREQ)
- {
- format = FRQ_FREQ;
- scale = cmd.hb_freq;
- }
- else if (cmd.hb_scale == FRQ_PERCENT)
- {
- format = FRQ_PERCENT;
- scale = cmd.ba_pcnt;
- }
- if (cmd.hb_norm)
- normal = 1;
- if (cmd.hb_incr == FRQ_INCREMENT)
- incr = cmd.hb_inc;
- }
+ pie = frq->pie = xmalloc (sizeof *frq->pie);
+ pie->x_min = cmd->pie_min;
+ pie->x_max = cmd->pie_max;
+ pie->y_scale = cmd->pie_scale;
+ pie->include_missing = cmd->pie_missing == FRQ_MISSING;
- if (min != SYSMIS && max != SYSMIS && min >= max)
- {
- msg (SE, _("MAX must be greater than or equal to MIN, if both are "
- "specified. However, MIN was specified as %g and MAX as %g. "
- "MIN and MAX will be ignored."), min, max);
- min = max = SYSMIS;
+ if (pie->x_min != SYSMIS && pie->x_max != SYSMIS
+ && pie->x_min >= pie->x_max)
+ {
+ msg (SE, _("MAX for pie chart must be greater than or equal to MIN, "
+ "but MIN was specified as %.15g and MAX as %.15g. "
+ "MIN and MAX will be ignored."), pie->x_min, pie->x_max);
+ pie->x_min = pie->x_max = SYSMIS;
+ }
}
}
/* Add data from case C to the frequency table. */
static void
-calc (const struct ccase *c, const struct dataset *ds)
+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 < n_variables; i++)
+ for (i = 0; i < frq->n_vars; i++)
{
- 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 var_freqs *vf = &frq->vars[i];
+ const union value *value = case_data (c, vf->var);
+ size_t hash = value_hash (value, vf->width, 0);
+ struct freq *f;
- struct freq target;
- struct freq **fpp;
+ f = freq_hmap_search (&vf->tab.data, value, vf->width, hash);
+ if (f == NULL)
+ f = freq_hmap_insert (&vf->tab.data, value, vf->width, hash);
- target.value = (union value *) val;
- fpp = (struct freq **) hsh_probe (ft->data, &target);
-
- if (*fpp != NULL)
- (*fpp)->count += weight;
- else
- {
- struct freq *fp = pool_alloc (data_pool, sizeof *fp);
- fp->count = weight;
- fp->value = pool_clone (data_pool,
- val,
- MAX (MAX_SHORT_STRING, vf->width));
- *fpp = fp;
- }
+ f->count += weight;
}
}
/* Prepares each variable that is the target of FREQUENCIES by setting
up its hash table. */
static void
-precalc (struct casereader *input, struct dataset *ds)
+precalc (struct frq_proc *frq, struct casereader *input, struct dataset *ds)
{
struct ccase *c;
size_t i;
case_unref (c);
}
- pool_destroy (data_pool);
- data_pool = pool_create ();
-
- for (i = 0; i < n_variables; i++)
- {
- const struct variable *v = v_variables[i];
- struct freq_tab *ft = &get_var_freqs (v)->tab;
-
- ft->data = hsh_create (16, compare_freq, hash_freq, NULL, v);
- }
+ 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 (void)
+postcalc (struct frq_proc *frq, const struct dataset *ds)
{
+ const struct dictionary *dict = dataset_dict (ds);
+ const struct variable *wv = dict_get_weight (dict);
size_t i;
- for (i = 0; i < n_variables; i++)
+ for (i = 0; i < frq->n_vars; 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;
- int dumped_freq_tab = 1;
+ struct var_freqs *vf = &frq->vars[i];
- postprocess_freq_tab (v);
+ postprocess_freq_tab (frq, vf);
/* Frequencies tables. */
- n_categories = ft->n_valid + ft->n_missing;
- if (cmd.table == FRQ_TABLE
- || (cmd.table == FRQ_LIMIT && n_categories <= cmd.limit))
- switch (cmd.cond)
- {
- case FRQ_CONDENSE:
- dump_condensed (v);
- break;
- case FRQ_STANDARD:
- dump_full (v);
- break;
- case FRQ_ONEPAGE:
- if (n_categories > cmd.onepage_limit)
- dump_condensed (v);
- else
- dump_full (v);
- break;
- default:
- NOT_REACHED ();
- }
- else
- dumped_freq_tab = 0;
+ if (vf->tab.n_valid + vf->tab.n_missing <= frq->max_categories)
+ dump_freq_table (vf, wv);
/* Statistics. */
- if (n_stats)
- dump_statistics (v, !dumped_freq_tab);
-
-
+ if (frq->n_stats)
+ dump_statistics (frq, vf, wv);
- if ( chart == GFT_HIST)
+ if (frq->hist && var_is_numeric (vf->var) && vf->tab.n_valid > 0)
{
- double d[frq_n_stats];
- struct histogram *hist ;
+ double d[FRQ_N_STATS];
+ struct histogram *histogram;
- calc_stats (v, d);
+ calc_stats (vf, d);
- hist = freq_tab_to_hist (ft,v);
+ histogram = freq_tab_to_hist (frq, &vf->tab, vf->var);
- histogram_plot_n (hist, var_to_string(v),
- vf->tab.valid_cases,
- d[frq_mean],
- d[frq_stddev],
- normal);
-
- statistic_destroy ((struct statistic *)hist);
- }
+ chart_item_submit (histogram_chart_create (
+ histogram->gsl_hist, var_to_string(vf->var),
+ vf->tab.valid_cases,
+ d[FRQ_MEAN],
+ d[FRQ_STDDEV],
+ frq->hist->draw_normal));
- if ( chart == GFT_PIE)
- {
- do_piechart(v_variables[i], ft);
+ statistic_destroy (&histogram->parent);
}
- cleanup_freq_tab (v);
+ if (frq->pie)
+ do_piechart(frq->pie, vf->var, &vf->tab);
- }
-}
+ cleanup_freq_tab (vf);
-/* Returns the comparison function that should be used for
- sorting a frequency table by FRQ_SORT using VAL_TYPE
- values. */
-static hsh_compare_func *
-get_freq_comparator (int frq_sort, enum val_type val_type)
-{
- bool is_numeric = val_type == VAL_NUMERIC;
- switch (frq_sort)
- {
- 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 ();
}
}
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->value, MV_ANY);
}
+struct freq_compare_aux
+ {
+ bool by_freq;
+ bool ascending_freq;
+
+ int width;
+ bool ascending_value;
+ };
+
+static int
+compare_freq (const void *a_, const void *b_, const void *aux_)
+{
+ const struct freq_compare_aux *aux = aux_;
+ const struct freq *a = a_;
+ const struct freq *b = b_;
+
+ if (aux->by_freq && a->count != b->count)
+ {
+ int cmp = a->count > b->count ? 1 : -1;
+ return aux->ascending_freq ? cmp : -cmp;
+ }
+ else
+ {
+ int cmp = value_compare_3way (&a->value, &b->value, aux->width);
+ return aux->ascending_value ? cmp : -cmp;
+ }
+}
/* Summarizes the frequency table data for variable V. */
static void
-postprocess_freq_tab (const struct variable *v)
+postprocess_freq_tab (const struct frq_proc *frq, struct var_freqs *vf)
{
- hsh_compare_func *compare;
- struct freq_tab *ft;
+ struct freq_tab *ft = &vf->tab;
+ struct freq_compare_aux aux;
size_t count;
- void *const *data;
struct freq *freqs, *f;
size_t i;
- ft = &get_var_freqs (v)->tab;
- compare = get_freq_comparator (cmd.sort, var_get_type (v));
-
/* Extract data from hash table. */
- count = hsh_count (ft->data);
- data = hsh_data (ft->data);
-
- /* Copy dereferenced data into freqs. */
- freqs = xnmalloc (count, sizeof *freqs);
- for (i = 0; i < count; i++)
- {
- struct freq *f = data[i];
- freqs[i] = *f;
- }
+ count = hmap_count (&ft->data);
+ freqs = freq_hmap_extract (&ft->data);
/* Put data into ft. */
ft->valid = freqs;
- ft->n_valid = partition (freqs, count, sizeof *freqs, not_missing, v);
+ ft->n_valid = partition (freqs, count, sizeof *freqs, not_missing, vf->var);
ft->missing = freqs + ft->n_valid;
ft->n_missing = count - ft->n_valid;
/* Sort data. */
- sort (ft->valid, ft->n_valid, sizeof *ft->valid, compare, v);
- sort (ft->missing, ft->n_missing, sizeof *ft->missing, compare, v);
+ 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;
+ 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;
/* Frees the frequency table for variable V. */
static void
-cleanup_freq_tab (const struct variable *v)
+cleanup_freq_tab (struct var_freqs *vf)
{
- struct freq_tab *ft = &get_var_freqs (v)->tab;
- free (ft->valid);
- hsh_destroy (ft->data);
+ free (vf->tab.valid);
+ freq_hmap_destroy (&vf->tab.data, vf->width);
}
-/* Parses the VARIABLES subcommand, adding to
- {n_variables,v_variables}. */
+/* Parses the VARIABLES subcommand. */
static int
-frq_custom_variables (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
+frq_custom_variables (struct lexer *lexer, struct dataset *ds,
+ struct cmd_frequencies *cmd UNUSED, void *frq_ UNUSED)
{
- size_t old_n_variables = n_variables;
+ struct frq_proc *frq = frq_;
+ struct variable **vars;
+ size_t n_vars;
size_t i;
- lex_match (lexer, '=');
- if (lex_token (lexer) != T_ALL && (lex_token (lexer) != T_ID
- || dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) == NULL))
+ lex_match (lexer, T_EQUALS);
+ if (lex_token (lexer) != T_ALL
+ && (lex_token (lexer) != T_ID
+ || dict_lookup_var (dataset_dict (ds), lex_tokcstr (lexer)) == NULL))
return 2;
- if (!parse_variables_const (lexer, dataset_dict (ds), &v_variables, &n_variables,
- PV_APPEND | PV_NO_SCRATCH))
+ /* Get list of current variables, to avoid duplicates. */
+ vars = xmalloc (frq->n_vars * sizeof *vars);
+ n_vars = frq->n_vars;
+ for (i = 0; i < frq->n_vars; i++)
+ vars[i] = frq->vars[i].var;
+
+ if (!parse_variables (lexer, dataset_dict (ds), &vars, &n_vars,
+ PV_APPEND | PV_NO_SCRATCH))
return 0;
- for (i = old_n_variables; i < n_variables; i++)
+ frq->vars = xrealloc (frq->vars, n_vars * sizeof *frq->vars);
+ for (i = frq->n_vars; i < n_vars; i++)
{
- const struct variable *v = v_variables[i];
- struct var_freqs *vf;
+ struct variable *var = vars[i];
+ struct var_freqs *vf = &frq->vars[i];
- if (var_get_aux (v) != NULL)
- {
- msg (SE, _("Variable %s specified multiple times on VARIABLES "
- "subcommand."), var_get_name (v));
- return 0;
- }
- vf = var_attach_aux (v, xmalloc (sizeof *vf), var_dtor_free);
+ vf->var = var;
vf->tab.valid = vf->tab.missing = NULL;
+ vf->tab.dict = dataset_dict (ds);
vf->n_groups = 0;
vf->groups = NULL;
- vf->width = var_get_width (v);
- vf->print = *var_get_print_format (v);
- if (vf->width > MAX_SHORT_STRING && settings_get_algorithm () == COMPATIBLE)
- {
- enum fmt_type type = var_get_print_format (v)->type;
- vf->width = MAX_SHORT_STRING;
- vf->print.w = MAX_SHORT_STRING * (type == FMT_AHEX ? 2 : 1);
- }
+ vf->width = var_get_width (var);
+ vf->print = *var_get_print_format (var);
}
+ frq->n_vars = n_vars;
+
+ free (vars);
+
return 1;
}
/* Parses the GROUPED subcommand, setting the n_grouped, grouped
fields of specified variables. */
static int
-frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *aux UNUSED)
+frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *frq_ UNUSED)
{
- lex_match (lexer, '=');
- if ((lex_token (lexer) == T_ID && dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) != NULL)
+ struct frq_proc *frq = frq_;
+
+ lex_match (lexer, T_EQUALS);
+ if ((lex_token (lexer) == T_ID
+ && dict_lookup_var (dataset_dict (ds), lex_tokcstr (lexer)) != NULL)
|| lex_token (lexer) == T_ID)
for (;;)
{
if (!parse_variables_const (lexer, dataset_dict (ds), &v, &n,
PV_NO_DUPLICATE | PV_NUMERIC))
return 0;
- if (lex_match (lexer, '('))
+ if (lex_match (lexer, T_LPAREN))
{
nl = ml = 0;
dl = NULL;
if (nl >= ml)
{
ml += 16;
- dl = pool_nrealloc (syntax_pool, dl, ml, sizeof *dl);
+ dl = pool_nrealloc (frq->pool, dl, ml, sizeof *dl);
}
dl[nl++] = lex_tokval (lexer);
lex_get (lexer);
- lex_match (lexer, ',');
+ lex_match (lexer, T_COMMA);
}
/* Note that nl might still be 0 and dl might still be
NULL. That's okay. */
- if (!lex_match (lexer, ')'))
+ if (!lex_match (lexer, T_RPAREN))
{
free (v);
msg (SE, _("`)' expected after GROUPED interval list."));
}
for (i = 0; i < n; i++)
- if (var_get_aux (v[i]) == NULL)
+ {
+ size_t j;
+
+ for (j = 0; j < frq->n_vars; j++)
+ {
+ struct var_freqs *vf = &frq->vars[j];
+ if (vf->var == v[i])
+ {
+ if (vf->groups != NULL)
+ msg (SE, _("Variables %s specified multiple times on "
+ "GROUPED subcommand."), var_get_name (v[i]));
+ else
+ {
+ vf->n_groups = nl;
+ vf->groups = dl;
+ }
+ goto found;
+ }
+ }
msg (SE, _("Variables %s specified on GROUPED but not on "
"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."), var_get_name (v[i]));
- else
- {
- vf->n_groups = nl;
- vf->groups = dl;
- }
- }
+
+ found:;
+ }
+
free (v);
- if (!lex_match (lexer, '/'))
- break;
- if ((lex_token (lexer) != T_ID || dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) != NULL)
- && lex_token (lexer) != T_ALL)
- {
- lex_put_back (lexer, '/');
- break;
- }
+ if (lex_token (lexer) != T_SLASH)
+ break;
+
+ if ((lex_next_token (lexer, 1) == T_ID
+ && dict_lookup_var (dataset_dict (ds),
+ lex_next_tokcstr (lexer, 1)))
+ || lex_next_token (lexer, 1) == T_ALL)
+ {
+ /* The token after the slash is a variable name. Keep parsing. */
+ lex_get (lexer);
+ }
+ else
+ {
+ /* The token after the slash must be the start of a new
+ subcommand. Let the caller see the slash. */
+ break;
+ }
}
return 1;
}
/* Adds X to the list of percentiles, keeping the list in proper
- order. */
+ order. If SHOW is true, the percentile will be shown in the statistics
+ box, otherwise it will be hidden. */
static void
-add_percentile (double x)
+add_percentile (struct frq_proc *frq, double x, bool show,
+ size_t *allocated_percentiles)
{
int i;
- for (i = 0; i < n_percentiles; i++)
+ /* Do nothing if it's already in the list */
+ for (i = 0; i < frq->n_percentiles; i++)
{
- /* Do nothing if it's already in the list */
- if ( fabs(x - percentiles[i].p) < DBL_EPSILON )
- return;
+ struct percentile *pc = &frq->percentiles[i];
+
+ if ( fabs(x - pc->p) < DBL_EPSILON )
+ {
+ if (show && !pc->show)
+ {
+ frq->n_show_percentiles++;
+ pc->show = true;
+ }
+ return;
+ }
- if (x < percentiles[i].p)
+ if (x < pc->p)
break;
}
- if (i >= n_percentiles || x != percentiles[i].p)
- {
- percentiles = pool_nrealloc (syntax_pool, percentiles,
- n_percentiles + 1, sizeof *percentiles);
- insert_element (percentiles, n_percentiles, sizeof *percentiles, i);
- percentiles[i].p = x;
- n_percentiles++;
- }
+ if (frq->n_percentiles >= *allocated_percentiles)
+ frq->percentiles = x2nrealloc (frq->percentiles, allocated_percentiles,
+ sizeof *frq->percentiles);
+ insert_element (frq->percentiles, frq->n_percentiles,
+ sizeof *frq->percentiles, i);
+ frq->percentiles[i].p = x;
+ frq->percentiles[i].show = show;
+ frq->n_percentiles++;
+ if (show)
+ frq->n_show_percentiles++;
}
/* Comparison functions. */
-/* Ascending numeric compare of values. */
-static int
-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->value[0].f > b->value[0].f)
- return 1;
- 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_, const void *v_)
-{
- const struct freq *a = a_;
- const struct freq *b = b_;
- const struct variable *v = v_;
- struct var_freqs *vf = get_var_freqs (v);
-
- 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, const void *aux UNUSED)
-{
- 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, 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_, const void *aux UNUSED)
-{
- const struct freq *a = a_;
- const struct freq *b = b_;
-
- if (a->count > b->count)
- return 1;
- else if (a->count < b->count)
- return -1;
-
- if (a->value[0].f > b->value[0].f)
- return 1;
- 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_, const void *v_)
-{
- const struct freq *a = a_;
- const struct freq *b = b_;
- const struct variable *v = v_;
- struct var_freqs *vf = get_var_freqs (v);
-
- if (a->count > b->count)
- return 1;
- else if (a->count < b->count)
- return -1;
- else
- 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_, const void *aux UNUSED)
-{
- const struct freq *a = a_;
- const struct freq *b = b_;
-
- if (a->count > b->count)
- return -1;
- else if (a->count < b->count)
- return 1;
-
- if (a->value[0].f > b->value[0].f)
- return 1;
- 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_, const void *v_)
-{
- const struct freq *a = a_;
- const struct freq *b = b_;
- const struct variable *v = v_;
- struct var_freqs *vf = get_var_freqs (v);
-
- if (a->count > b->count)
- return -1;
- else if (a->count < b->count)
- return 1;
- else
- return memcmp (a->value[0].s, b->value[0].s, vf->width);
-}
\f
/* Frequency table display. */
-/* Sets the widths of all the columns and heights of all the rows in
- table T for driver D. */
-static void
-full_dim (struct tab_table *t, struct outp_driver *d)
-{
- 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);
-
- 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 (const struct variable *v)
+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 var_freqs *vf;
- struct freq_tab *ft;
struct freq *f;
struct tab_table *t;
- int r;
+ int r, x;
double cum_total = 0.0;
double cum_freq = 0.0;
- struct init
- {
- int c, r;
- const char *s;
- };
-
- const struct init *p;
-
- static const struct init vec[] =
- {
- {4, 0, N_("Valid")},
- {5, 0, N_("Cum")},
- {1, 1, N_("Value")},
- {2, 1, N_("Frequency")},
- {3, 1, N_("Percent")},
- {4, 1, N_("Percent")},
- {5, 1, N_("Percent")},
- {0, 0, NULL},
- {1, 0, NULL},
- {2, 0, NULL},
- {3, 0, NULL},
- {-1, -1, NULL},
+ static const char *headings[] = {
+ N_("Value Label"),
+ N_("Value"),
+ N_("Frequency"),
+ N_("Percent"),
+ N_("Valid Percent"),
+ N_("Cum Percent")
};
- const bool lab = (cmd.labels == FRQ_LABELS);
-
- vf = get_var_freqs (v);
- ft = &vf->tab;
n_categories = ft->n_valid + ft->n_missing;
- t = tab_create (5 + lab, n_categories + 3, 0);
- tab_headers (t, 0, 0, 2, 0);
- tab_dim (t, full_dim);
-
- if (lab)
- tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value Label"));
+ t = tab_create (6, n_categories + 2);
+ tab_headers (t, 0, 0, 1, 0);
- for (p = vec; p->s; p++)
- tab_text (t, lab ? p->c : p->c - 1, p->r,
- TAB_CENTER | TAT_TITLE, gettext (p->s));
+ for (x = 0; x < 6; x++)
+ tab_text (t, x, 0, TAB_CENTER | TAT_TITLE, gettext (headings[x]));
- r = 2;
+ r = 1;
for (f = ft->valid; f < ft->missing; f++)
{
+ const char *label;
double percent, valid_percent;
cum_freq += f->count;
valid_percent = f->count / ft->valid_cases * 100.0;
cum_total += valid_percent;
- if (lab)
- {
- const char *label = var_lookup_value_label (v, &f->value[0]);
- if (label != NULL)
- tab_text (t, 0, r, TAB_LEFT, label);
- }
+ label = var_lookup_value_label (vf->var, &f->value);
+ if (label != NULL)
+ tab_text (t, 0, r, TAB_LEFT, label);
- 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);
+ tab_value (t, 1, r, TAB_NONE, &f->value, ft->dict, &vf->print);
+ tab_double (t, 2, r, TAB_NONE, f->count, wfmt);
+ tab_double (t, 3, r, TAB_NONE, percent, NULL);
+ tab_double (t, 4, r, TAB_NONE, valid_percent, NULL);
+ tab_double (t, 5, r, TAB_NONE, cum_total, NULL);
r++;
}
for (; f < &ft->valid[n_categories]; f++)
{
+ const char *label;
+
cum_freq += f->count;
- if (lab)
- {
- const char *label = var_lookup_value_label (v, &f->value[0]);
- if (label != NULL)
- tab_text (t, 0, r, TAB_LEFT, label);
- }
+ label = var_lookup_value_label (vf->var, &f->value);
+ if (label != NULL)
+ tab_text (t, 0, r, TAB_LEFT, label);
- 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->count / ft->total_cases * 100.0, 5, 1);
- tab_text (t, 3 + lab, r, TAB_NONE, _("Missing"));
+ tab_value (t, 1, r, TAB_NONE, &f->value, ft->dict, &vf->print);
+ tab_double (t, 2, r, TAB_NONE, f->count, wfmt);
+ tab_double (t, 3, r, TAB_NONE,
+ f->count / ft->total_cases * 100.0, NULL);
+ tab_text (t, 4, r, TAB_NONE, _("Missing"));
r++;
}
- tab_box (t, TAL_1, TAL_1,
- cmd.spaces == FRQ_SINGLE ? -1 : TAL_GAP, TAL_1,
- 0, 0, 4 + lab, r);
- tab_hline (t, TAL_2, 0, 4 + lab, 2);
- tab_hline (t, TAL_2, 0, 4 + lab, r);
- tab_joint_text (t, 0, r, 0 + lab, r, TAB_RIGHT | TAT_TITLE, _("Total"));
+ 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_float (t, 1 + lab, r, TAB_NONE, cum_freq, 8, 0);
- 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_double (t, 2, r, TAB_NONE, cum_freq, wfmt);
+ tab_fixed (t, 3, r, TAB_NONE, 100.0, 5, 1);
+ tab_fixed (t, 4, r, TAB_NONE, 100.0, 5, 1);
- tab_title (t, "%s", var_to_string (v));
+ tab_title (t, "%s", var_to_string (vf->var));
tab_submit (t);
}
+\f
+/* Statistical display. */
-/* Sets the widths of all the columns and heights of all the rows in
- table T for driver D. */
-static void
-condensed_dim (struct tab_table *t, struct outp_driver *d)
+static double
+calc_percentile (double p, double valid_cases, double x1, double x2)
{
- 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)));
+ double s, dummy;
- int i;
+ s = (settings_get_algorithm () != COMPATIBLE
+ ? modf ((valid_cases - 1) * p, &dummy)
+ : modf ((valid_cases + 1) * p - 1, &dummy));
- for (i = 0; i < 2; i++)
- 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++)
- t->h[i] = d->font_height;
+ return x1 + (x2 - x1) * s;
}
-/* Display condensed frequency table for variable V. */
+/* Calculates all of the percentiles for VF within FRQ. */
static void
-dump_condensed (const struct variable *v)
+calc_percentiles (const struct frq_proc *frq, const struct var_freqs *vf)
{
- int n_categories;
- struct var_freqs *vf;
- struct freq_tab *ft;
- struct freq *f;
- struct tab_table *t;
- int r;
- double cum_total = 0.0;
-
- vf = get_var_freqs (v);
- ft = &vf->tab;
- n_categories = ft->n_valid + ft->n_missing;
- t = tab_create (4, n_categories + 2, 0);
+ const struct freq_tab *ft = &vf->tab;
+ double W = ft->valid_cases;
+ const struct freq *f;
+ int percentile_idx;
+ double rank;
- tab_headers (t, 0, 0, 2, 0);
- tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value"));
- tab_text (t, 1, 1, TAB_CENTER | TAT_TITLE, _("Freq"));
- tab_text (t, 2, 1, TAB_CENTER | TAT_TITLE, _("Pct"));
- tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("Cum"));
- tab_text (t, 3, 1, TAB_CENTER | TAT_TITLE, _("Pct"));
- tab_dim (t, condensed_dim);
+ assert (ft->n_valid > 0);
- r = 2;
+ rank = 0;
+ percentile_idx = 0;
for (f = ft->valid; f < ft->missing; f++)
{
- double percent;
+ rank += f->count;
+ for (; percentile_idx < frq->n_percentiles; percentile_idx++)
+ {
+ struct percentile *pc = &frq->percentiles[percentile_idx];
+ double tp;
- percent = f->count / ft->total_cases * 100.0;
- cum_total += f->count / ft->valid_cases * 100.0;
+ tp = (settings_get_algorithm () == ENHANCED
+ ? (W - 1) * pc->p
+ : (W + 1) * pc->p - 1);
- 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++;
+ if (rank <= tp)
+ break;
+
+ if (tp + 1 < rank || f + 1 >= ft->missing)
+ pc->value = f->value.f;
+ else
+ pc->value = calc_percentile (pc->p, W, f->value.f, f[1].value.f);
+ }
}
- for (; f < &ft->valid[n_categories]; f++)
+ for (; percentile_idx < frq->n_percentiles; percentile_idx++)
{
- 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->count / ft->total_cases * 100.0, 3, 0);
- r++;
+ struct percentile *pc = &frq->percentiles[percentile_idx];
+ pc->value = ft->valid[ft->n_valid - 1].value.f;
}
-
- tab_box (t, TAL_1, TAL_1,
- 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", var_to_string (v));
- tab_columns (t, SOM_COL_DOWN, 1);
- tab_submit (t);
}
-\f
-/* Statistical display. */
-/* Calculates all the pertinent statistics for variable V, putting
- them in array D[]. FIXME: This could be made much more optimal. */
+/* Calculates all the pertinent statistics for VF, putting them in array
+ D[]. */
static void
-calc_stats (const struct variable *v, double d[frq_n_stats])
+calc_stats (const struct var_freqs *vf, double d[FRQ_N_STATS])
{
- struct freq_tab *ft = &get_var_freqs (v)->tab;
+ const struct freq_tab *ft = &vf->tab;
double W = ft->valid_cases;
+ const struct freq *f;
struct moments *m;
- struct freq *f=0;
int most_often;
double X_mode;
- double rank;
- int i = 0;
- int idx;
-
- /* Calculate percentiles. */
-
- for (i = 0; i < n_percentiles; i++)
- {
- percentiles[i].flag = 0;
- percentiles[i].flag2 = 0;
- }
-
- rank = 0;
- for (idx = 0; idx < ft->n_valid; ++idx)
- {
- static double prev_value = SYSMIS;
- f = &ft->valid[idx];
- rank += f->count ;
- for (i = 0; i < n_percentiles; i++)
- {
- double tp;
- if ( percentiles[i].flag2 ) continue ;
-
- if ( settings_get_algorithm () != COMPATIBLE )
- tp =
- (ft->valid_cases - 1) * percentiles[i].p;
- else
- tp =
- (ft->valid_cases + 1) * percentiles[i].p - 1;
-
- if ( percentiles[i].flag )
- {
- percentiles[i].x2 = f->value[0].f;
- percentiles[i].x1 = prev_value;
- percentiles[i].flag2 = 1;
- continue;
- }
-
- if (rank > tp )
- {
- if ( f->count > 1 && rank - (f->count - 1) > tp )
- {
- percentiles[i].x2 = percentiles[i].x1 = f->value[0].f;
- percentiles[i].flag2 = 1;
- }
- else
- {
- percentiles[i].flag=1;
- }
-
- continue;
- }
- }
- 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->value[0].f;
-
- /*
- printf("percentile %d (p==%.2f); X1 = %g; X2 = %g\n",
- i,percentiles[i].p,percentiles[i].x1,percentiles[i].x2);
- */
- }
-
- for (i = 0; i < n_percentiles; i++)
- {
- struct freq_tab *ft = &get_var_freqs (v)->tab;
- double s;
-
- double dummy;
- if ( settings_get_algorithm () != COMPATIBLE )
- {
- s = modf((ft->valid_cases - 1) * percentiles[i].p , &dummy);
- }
- else
- {
- s = modf((ft->valid_cases + 1) * percentiles[i].p -1, &dummy);
- }
-
- percentiles[i].value = percentiles[i].x1 +
- ( percentiles[i].x2 - percentiles[i].x1) * s ;
- }
-
+ assert (ft->n_valid > 0);
/* Calculate the mode. */
most_often = -1;
if (most_often < f->count)
{
most_often = f->count;
- X_mode = f->value[0].f;
+ X_mode = f->value.f;
}
else if (most_often == f->count)
{
/* Calculate moments. */
m = moments_create (MOMENT_KURTOSIS);
for (f = ft->valid; f < ft->missing; f++)
- moments_pass_one (m, f->value[0].f, f->count);
+ moments_pass_one (m, f->value.f, f->count);
for (f = ft->valid; f < ft->missing; f++)
- 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_pass_two (m, f->value.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].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_sum] = d[frq_mean] * W;
- d[frq_stddev] = sqrt (d[frq_variance]);
- d[frq_semean] = d[frq_stddev] / sqrt (W);
- d[frq_seskew] = calc_seskew (W);
- d[frq_sekurt] = calc_sekurt (W);
+ d[FRQ_MIN] = ft->valid[0].value.f;
+ d[FRQ_MAX] = ft->valid[ft->n_valid - 1].value.f;
+ d[FRQ_MODE] = X_mode;
+ d[FRQ_RANGE] = d[FRQ_MAX] - d[FRQ_MIN];
+ d[FRQ_SUM] = d[FRQ_MEAN] * W;
+ d[FRQ_STDDEV] = sqrt (d[FRQ_VARIANCE]);
+ d[FRQ_SEMEAN] = d[FRQ_STDDEV] / sqrt (W);
+ d[FRQ_SESKEW] = calc_seskew (W);
+ d[FRQ_SEKURT] = calc_sekurt (W);
}
/* Displays a table of all the statistics requested for variable V. */
static void
-dump_statistics (const struct variable *v, int show_varname)
+dump_statistics (const struct frq_proc *frq, const struct var_freqs *vf,
+ const struct variable *wv)
{
- struct freq_tab *ft;
- double stat_value[frq_n_stats];
+ 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_N_STATS];
struct tab_table *t;
int i, r;
- if (var_is_alpha (v))
+ if (var_is_alpha (vf->var))
return;
- ft = &get_var_freqs (v)->tab;
+
if (ft->n_valid == 0)
{
msg (SW, _("No valid data for variable %s; statistics not displayed."),
- var_get_name (v));
+ var_get_name (vf->var));
return;
}
- calc_stats (v, stat_value);
+ calc_stats (vf, stat_value);
+ calc_percentiles (frq, vf);
- t = tab_create (3, n_stats + n_percentiles + 2, 0);
- tab_dim (t, tab_natural_dimensions);
+ t = tab_create (3, frq->n_stats + frq->n_show_percentiles + 2);
tab_box (t, TAL_1, TAL_1, -1, -1 , 0 , 0 , 2, tab_nr(t) - 1) ;
r=2; /* N missing and N valid are always dumped */
- for (i = 0; i < frq_n_stats; i++)
- if (stats & BIT_INDEX (i))
+ for (i = 0; i < FRQ_N_STATS; i++)
+ if (frq->stats & BIT_INDEX (i))
{
tab_text (t, 0, r, TAB_LEFT | TAT_TITLE,
gettext (st_name[i].s10));
- tab_float (t, 2, r, TAB_NONE, stat_value[i], 11, 3);
+ tab_double (t, 2, r, TAB_NONE, stat_value[i], NULL);
r++;
}
tab_text (t, 1, 0, TAB_LEFT | TAT_TITLE, _("Valid"));
tab_text (t, 1, 1, TAB_LEFT | TAT_TITLE, _("Missing"));
- tab_float(t, 2, 0, TAB_NONE, ft->valid_cases, 11, 0);
- tab_float(t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, 11, 0);
-
+ tab_double (t, 2, 0, TAB_NONE, ft->valid_cases, wfmt);
+ tab_double (t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, wfmt);
- for (i = 0; i < n_percentiles; i++, r++)
+ for (i = 0; i < frq->n_percentiles; i++, r++)
{
+ struct percentile *pc = &frq->percentiles[i];
+
+ if (!pc->show)
+ continue;
+
if ( i == 0 )
{
tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, _("Percentiles"));
}
- if (percentiles[i].p == 0.5)
+ if (pc->p == 0.5)
tab_text (t, 1, r, TAB_LEFT, _("50 (Median)"));
else
- tab_float (t, 1, r, TAB_LEFT, percentiles[i].p * 100, 3, 0);
- tab_float (t, 2, r, TAB_NONE, percentiles[i].value, 11, 3);
-
+ tab_fixed (t, 1, r, TAB_LEFT, pc->p * 100, 3, 0);
+ tab_double (t, 2, r, TAB_NONE, pc->value,
+ var_get_print_format (vf->var));
}
- tab_columns (t, SOM_COL_DOWN, 1);
- if (show_varname)
- tab_title (t, "%s", var_to_string (v));
- else
- tab_flags (t, SOMF_NO_TITLE);
-
+ tab_title (t, "%s", var_to_string (vf->var));
tab_submit (t);
}
+static double
+calculate_iqr (const struct frq_proc *frq)
+{
+ double q1 = SYSMIS;
+ double q3 = SYSMIS;
+ int i;
+
+ for (i = 0; i < frq->n_percentiles; i++)
+ {
+ struct percentile *pc = &frq->percentiles[i];
+
+ if (fabs (0.25 - pc->p) < DBL_EPSILON)
+ q1 = pc->value;
+ else if (fabs (0.75 - pc->p) < DBL_EPSILON)
+ q3 = pc->value;
+ }
+
+ return q1 == SYSMIS || q3 == SYSMIS ? SYSMIS : q3 - q1;
+}
+
+static bool
+chart_includes_value (const struct frq_chart *chart,
+ const struct variable *var,
+ const union value *value)
+{
+ if (!chart->include_missing && var_is_value_missing (var, value, MV_ANY))
+ return false;
+
+ if (var_is_numeric (var)
+ && ((chart->x_min != SYSMIS && value->f < chart->x_min)
+ || (chart->x_max != SYSMIS && value->f > chart->x_max)))
+ return false;
+
+ return true;
+}
/* Create a gsl_histogram from a freq_tab */
struct histogram *
-freq_tab_to_hist (const struct freq_tab *ft, const struct variable *var)
+freq_tab_to_hist (const struct frq_proc *frq, const struct freq_tab *ft,
+ const struct variable *var)
{
+ double x_min, x_max, valid_freq;
int i;
- double x_min = DBL_MAX;
- double x_max = -DBL_MAX;
-
- struct statistic *hist;
- const double bins = 11;
- struct hsh_iterator hi;
- struct hsh_table *fh = ft->data;
- struct freq *frq;
+ struct histogram *histogram;
+ double iqr;
+ int bins;
- /* Find out the extremes of the x value */
- for ( frq = hsh_first(fh, &hi); frq != 0; frq = hsh_next(fh, &hi) )
+ /* 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++)
{
- if (var_is_value_missing(var, frq->value, MV_ANY))
- continue;
-
- 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 ;
+ const struct freq *f = &ft->valid[i];
+ if (chart_includes_value (frq->hist, var, &f->value))
+ {
+ x_min = MIN (x_min, f->value.f);
+ x_max = MAX (x_max, f->value.f);
+ valid_freq += f->count;
+ }
}
- hist = histogram_create (bins, x_min, x_max);
+ /* Freedman-Diaconis' choice of bin width. */
+ iqr = calculate_iqr (frq);
+ if (iqr != SYSMIS)
+ {
+ double bin_width = 2 * iqr / pow (valid_freq, 1.0 / 3.0);
+ bins = (x_max - x_min) / bin_width;
+ if (bins < 5)
+ bins = 5;
+ else if (bins > 400)
+ bins = 400;
+ }
+ else
+ bins = 5;
- for( i = 0 ; i < ft->n_valid ; ++i )
+ histogram = histogram_create (bins, x_min, x_max);
+ for (i = 0; i < ft->n_valid; i++)
{
- frq = &ft->valid[i];
- histogram_add ((struct histogram *)hist, frq->value[0].f, frq->count);
+ const struct freq *f = &ft->valid[i];
+ if (chart_includes_value (frq->hist, var, &f->value))
+ histogram_add (histogram, f->value.f, f->count);
}
- return (struct histogram *)hist;
+ return histogram;
}
-
-static struct slice *
-freq_tab_to_slice_array(const struct freq_tab *frq_tab,
- const struct variable *var,
- int *n_slices);
-
+static int
+add_slice (const struct frq_chart *pie, const struct freq *freq,
+ const struct variable *var, struct slice *slice)
+{
+ if (chart_includes_value (pie, var, &freq->value))
+ {
+ ds_init_empty (&slice->label);
+ var_append_value_name (var, &freq->value, &slice->label);
+ slice->magnitude = freq->count;
+ return 1;
+ }
+ else
+ return 0;
+}
/* Allocate an array of slices and fill them from the data in frq_tab
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 freq_tab *frq_tab,
+freq_tab_to_slice_array(const struct frq_chart *pie,
+ const struct freq_tab *frq_tab,
const struct variable *var,
- int *n_slices)
+ int *n_slicesp)
{
- int i;
struct slice *slices;
+ int n_slices;
+ int i;
- *n_slices = frq_tab->n_valid;
-
- slices = xnmalloc (*n_slices, sizeof *slices);
-
- for (i = 0 ; i < *n_slices ; ++i )
- {
- const struct freq *frq = &frq_tab->valid[i];
+ slices = xnmalloc (frq_tab->n_valid + frq_tab->n_missing, sizeof *slices);
+ n_slices = 0;
- ds_init_empty (&slices[i].label);
- var_append_value_name (var, frq->value, &slices[i].label);
- slices[i].magnetude = frq->count;
- }
+ 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]);
+ *n_slicesp = n_slices;
return slices;
}
static void
-do_piechart(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(frq_tab, var, &n_slices);
-
- piechart_plot(var_to_string(var), slices, n_slices);
+ slices = freq_tab_to_slice_array (pie, frq_tab, var, &n_slices);
- for (i = 0 ; i < n_slices ; ++i )
- {
- ds_destroy (&slices[i].label);
- }
+ if (n_slices < 2)
+ msg (SW, _("Omitting pie chart for %s, which has only %d unique values."),
+ var_get_name (var), n_slices);
+ else if (n_slices > 50)
+ 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));
- free(slices);
+ for (i = 0; i < n_slices; i++)
+ ds_destroy (&slices[i].label);
+ free (slices);
}
projects / pspp-builds.git / blobdiff