--- /dev/null
+/* PSPP - computes sample statistics.
+ Copyright (C) 2004 Free Software Foundation, Inc.
+ Written by John Darrington <john@darrington.wattle.id.au>
+
+ 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 2 of the
+ License, or (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful, 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, write to the Free Software
+ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
+ 02110-1301, USA. */
+
+
+#include <config.h>
+
+#include <stdio.h>
+#include "plot-hist.h"
+#include "plot-chart.h"
+#include <plot.h>
+#include <math.h>
+#include <gsl/gsl_histogram.h>
+#include <gsl/gsl_randist.h>
+#include <assert.h>
+#include "hash.h"
+#include "variable.h"
+#include "chart.h"
+
+#include "gettext.h"
+#define _(msgid) gettext (msgid)
+
+/* Write the legend of the chart */
+void
+histogram_write_legend(struct chart *ch, const struct normal_curve *norm)
+{
+ char buf[100];
+ if ( !ch )
+ return ;
+
+ pl_savestate_r(ch->lp);
+
+ sprintf(buf,"N = %.2f",norm->N);
+ pl_move_r(ch->lp, ch->legend_left, ch->data_bottom);
+ pl_alabel_r(ch->lp,0,'b',buf);
+
+ sprintf(buf,"Mean = %.1f",norm->mean);
+ pl_fmove_r(ch->lp,ch->legend_left,ch->data_bottom + ch->font_size * 1.5);
+ pl_alabel_r(ch->lp,0,'b',buf);
+
+ sprintf(buf,"Std. Dev = %.2f",norm->stddev);
+ pl_fmove_r(ch->lp,ch->legend_left,ch->data_bottom + ch->font_size * 1.5 * 2);
+ pl_alabel_r(ch->lp,0,'b',buf);
+
+ pl_restorestate_r(ch->lp);
+}
+
+static void hist_draw_bar(struct chart *ch, const gsl_histogram *hist, int bar);
+
+
+static void
+hist_draw_bar(struct chart *ch, const gsl_histogram *hist, int bar)
+{
+ if ( !ch )
+ return ;
+
+
+ {
+ double upper;
+ double lower;
+ double height;
+
+ const size_t bins = gsl_histogram_bins(hist);
+ const double x_pos = (ch->data_right - ch->data_left) * bar / (double) bins ;
+ const double width = (ch->data_right - ch->data_left) / (double) bins ;
+
+
+ assert ( 0 == gsl_histogram_get_range(hist, bar, &lower, &upper));
+
+ assert( upper >= lower);
+
+ height = gsl_histogram_get(hist, bar) *
+ (ch->data_top - ch->data_bottom) / gsl_histogram_max_val(hist);
+
+ pl_savestate_r(ch->lp);
+ pl_move_r(ch->lp,ch->data_left, ch->data_bottom);
+ pl_fillcolorname_r(ch->lp, ch->fill_colour);
+ pl_filltype_r(ch->lp,1);
+
+
+ pl_fboxrel_r(ch->lp,
+ x_pos, 0,
+ x_pos + width, height);
+
+ pl_restorestate_r(ch->lp);
+
+ {
+ char buf[5];
+ snprintf(buf,5,"%g",(upper + lower) / 2.0);
+ draw_tick(ch, TICK_ABSCISSA,
+ x_pos + width / 2.0, buf);
+ }
+ }
+}
+
+
+
+
+void
+histogram_plot(const gsl_histogram *hist,
+ const char *factorname,
+ const struct normal_curve *norm, short show_normal)
+{
+ int i;
+ int bins;
+
+ struct chart *ch;
+
+ ch = chart_create();
+ chart_write_title(ch, _("HISTOGRAM"));
+
+ chart_write_ylabel(ch, _("Frequency"));
+ chart_write_xlabel(ch, factorname);
+
+ if ( ! hist ) /* If this happens, probably all values are SYSMIS */
+ {
+ chart_submit(ch);
+ return ;
+ }
+ else
+ {
+ bins = gsl_histogram_bins(hist);
+ }
+
+ chart_write_yscale(ch, 0, gsl_histogram_max_val(hist), 5);
+
+ for ( i = 0 ; i < bins ; ++i )
+ hist_draw_bar(ch, hist, i);
+
+ histogram_write_legend(ch, norm);
+
+ if ( show_normal )
+ {
+ /* Draw the normal curve */
+
+ double d ;
+ double x_min, x_max, not_used ;
+ double abscissa_scale ;
+ double ordinate_scale ;
+ double range ;
+
+ gsl_histogram_get_range(hist, 0, &x_min, ¬_used);
+ range = not_used - x_min;
+ gsl_histogram_get_range(hist, bins - 1, ¬_used, &x_max);
+ assert(range == x_max - not_used);
+
+ abscissa_scale = (ch->data_right - ch->data_left) / (x_max - x_min);
+ ordinate_scale = (ch->data_top - ch->data_bottom) /
+ gsl_histogram_max_val(hist) ;
+
+ pl_move_r(ch->lp, ch->data_left, ch->data_bottom);
+ for( d = ch->data_left;
+ d <= ch->data_right ;
+ d += (ch->data_right - ch->data_left) / 100.0)
+ {
+ const double x = (d - ch->data_left) / abscissa_scale + x_min ;
+ const double y = norm->N * range *
+ gsl_ran_gaussian_pdf(x - norm->mean, norm->stddev);
+
+ pl_fcont_r(ch->lp, d, ch->data_bottom + y * ordinate_scale);
+
+ }
+ pl_endpath_r(ch->lp);
+
+ }
+ chart_submit(ch);
+}
+