/* 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 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
#include <libpspp/str.h>
#include <math/histogram.h>
#include <math/moments.h>
-#include <output/chart.h>
+#include <output/chart-item.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 <output/tab.h>
#include "freq.h"
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 void add_percentile (double x, bool show);
static struct percentile *percentiles;
-static int n_percentiles;
+static int n_percentiles, n_show_percentiles;
/* Groups of statistics. */
#define BI BIT_INDEX
int i;
n_percentiles = 0;
+ n_show_percentiles = 0;
percentiles = NULL;
n_variables = 0;
int pl;
subc_list_double *ptl_list = &cmd.dl_percentiles[i];
for ( pl = 0 ; pl < subc_list_double_count(ptl_list); ++pl)
- add_percentile (subc_list_double_at(ptl_list, pl) / 100.0 );
+ add_percentile (subc_list_double_at(ptl_list, pl) / 100.0, true);
}
}
if ( cmd.sbc_ntiles )
{
int j;
for (j = 0; j <= cmd.n_ntiles[i]; ++j )
- add_percentile (j / (double) cmd.n_ntiles[i]);
+ add_percentile (j / (double) cmd.n_ntiles[i], true);
}
}
if (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);
+ add_percentile (0.5, true);
stats &= ~BIT_INDEX (frq_median);
n_stats--;
}
- if ( chart == GFT_HIST && var_is_numeric (v) )
+ if ( chart == GFT_HIST && var_is_numeric (v) && ft->n_valid > 0)
{
double d[frq_n_stats];
struct histogram *hist ;
hist = freq_tab_to_hist (ft,v);
- histogram_plot_n (hist, var_to_string(v),
- vf->tab.valid_cases,
- d[frq_mean],
- d[frq_stddev],
- normal);
+ chart_item_submit (histogram_chart_create (
+ hist->gsl_hist, var_to_string(v),
+ vf->tab.valid_cases,
+ d[frq_mean],
+ d[frq_stddev],
+ normal));
- statistic_destroy ((struct statistic *)hist);
+ statistic_destroy (&hist->parent);
}
if ( chart == GFT_PIE)
}
/* 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 (double x, bool show)
{
int i;
{
/* Do nothing if it's already in the list */
if ( fabs(x - percentiles[i].p) < DBL_EPSILON )
- return;
+ {
+ if (show && !percentiles[i].show)
+ {
+ n_show_percentiles++;
+ percentiles[i].show = true;
+ }
+ return;
+ }
if (x < percentiles[i].p)
break;
n_percentiles + 1, sizeof *percentiles);
insert_element (percentiles, n_percentiles, sizeof *percentiles, i);
percentiles[i].p = x;
+ percentiles[i].show = show;
n_percentiles++;
+ if (show)
+ n_show_percentiles++;
}
}
\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, void *aux UNUSED)
-{
- 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, const struct variable *wv)
vf = get_var_freqs (v);
ft = &vf->tab;
n_categories = ft->n_valid + ft->n_missing;
- t = tab_create (5 + lab, n_categories + 2, 0);
+ t = tab_create (5 + lab, n_categories + 2);
tab_headers (t, 0, 0, 1, 0);
- tab_dim (t, full_dim, NULL);
if (lab)
tab_text (t, 0, 0, TAB_CENTER | TAT_TITLE, _("Value Label"));
tab_submit (t);
}
-/* 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, void *aux UNUSED)
-{
- int cum_w = MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
- MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL),
- outp_string_width (d, "000", OUTP_PROPORTIONAL)));
-
- int i;
-
- for (i = 0; i < 2; i++)
- t->w[i] = MAX (tab_natural_width (t, d, i), d->prop_em_width * 8);
- for (i = 2; i < 4; i++)
- t->w[i] = cum_w;
- for (i = 0; i < t->nr; i++)
- t->h[i] = d->font_height;
-}
-
/* Display condensed frequency table for variable V. */
static void
dump_condensed (const struct variable *v, const struct variable *wv)
vf = get_var_freqs (v);
ft = &vf->tab;
n_categories = ft->n_valid + ft->n_missing;
- t = tab_create (4, n_categories + 2, 0);
+ t = tab_create (4, n_categories + 2);
tab_headers (t, 0, 0, 2, 0);
tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value"));
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, NULL);
r = 2;
for (f = ft->valid; f < ft->missing; f++)
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 variable V, putting them in
+ array D[]. */
static void
calc_stats (const struct variable *v, double d[frq_n_stats])
{
/* Calculate percentiles. */
+ assert (ft->n_valid > 0);
+
for (i = 0; i < n_percentiles; i++)
{
percentiles[i].flag = 0;
}
calc_stats (v, stat_value);
- t = tab_create (3, n_stats + n_percentiles + 2, 0);
- tab_dim (t, tab_natural_dimensions, NULL);
+ t = tab_create (3, n_stats + n_show_percentiles + 2);
tab_box (t, TAL_1, TAL_1, -1, -1 , 0 , 0 , 2, tab_nr(t) - 1) ;
for (i = 0; i < n_percentiles; i++, r++)
{
+ if (!percentiles[i].show)
+ continue;
+
if ( i == 0 )
{
tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, _("Percentiles"));
var_get_print_format (v));
}
- 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_submit (t);
double x_min = DBL_MAX;
double x_max = -DBL_MAX;
- struct statistic *hist;
- const double bins = 11;
+ struct histogram *hist;
+ int bins;
struct hsh_iterator hi;
struct hsh_table *fh = ft->data;
if ( frq->value.f > x_max ) x_max = frq->value.f ;
}
+ /* Sturges' formula. */
+ bins = ceil (log (ft->valid_cases) / log (2) + 1);
+ if (bins < 5)
+ bins = 5;
+
hist = 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.f, frq->count);
+ histogram_add (hist, frq->value.f, frq->count);
}
- return (struct histogram *)hist;
+ return hist;
}
ds_init_empty (&slices[i].label);
var_append_value_name (var, &frq->value, &slices[i].label);
- slices[i].magnetude = frq->count;
+ slices[i].magnitude = frq->count;
}
return slices;
slices = freq_tab_to_slice_array(frq_tab, var, &n_slices);
- piechart_plot(var_to_string(var), slices, n_slices);
+ chart_item_submit (piechart_create (var_to_string(var), slices, n_slices));
for (i = 0 ; i < n_slices ; ++i )
- {
- ds_destroy (&slices[i].label);
- }
+ ds_destroy (&slices[i].label);
- free(slices);
+ free (slices);
}
projects / pspp / blobdiff