Change license from GPLv2+ to GPLv3+.

[pspp-builds.git] / src / output / charts / plot-hist.c

diff --git a/src/output/charts/plot-hist.c b/src/output/charts/plot-hist.c
index a500d5bf627933b125a39cbfbbd9a9766970ca8d..bdc39ad17ac94baf1f8041c2925da52454f8bef2 100644 (file)
--- a/src/output/charts/plot-hist.c
+++ b/src/output/charts/plot-hist.c
@@ -1,21 +1,18 @@
-/* PSPP - computes sample statistics.
+/* PSPP - a program for statistical analysis.
    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 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
+   (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.
+   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. */
+   along with this program.  If not, see <http://www.gnu.org/licenses/>. */
 
 
 #include <config.h>
@@ -59,7 +56,7 @@ histogram_write_legend(struct chart *ch, const struct normal_curve *norm)
   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);    
+  pl_restorestate_r(ch->lp);
 }
 
 static void hist_draw_bar(struct chart *ch, const gsl_histogram *hist, int bar);
@@ -68,7 +65,7 @@ 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 ) 
+  if ( !ch )
     return ;
 
 
@@ -86,12 +83,12 @@ hist_draw_bar(struct chart *ch, const gsl_histogram *hist, int bar)
 
     assert( upper >= lower);
 
-    height = gsl_histogram_get(hist, bar) * 
+    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_fillcolorname_r(ch->lp, ch->fill_colour);
     pl_filltype_r(ch->lp,1);
 
 
@@ -120,7 +117,7 @@ histogram_plot(const gsl_histogram *hist,
 {
   int i;
   int bins;
-  
+
   struct chart *ch;
 
   ch = chart_create();
@@ -141,14 +138,14 @@ histogram_plot(const gsl_histogram *hist,
 
   chart_write_yscale(ch, 0, gsl_histogram_max_val(hist), 5);
 
-  for ( i = 0 ; i < bins ; ++i ) 
+  for ( i = 0 ; i < bins ; ++i )
       hist_draw_bar(ch, hist, i);
 
   histogram_write_legend(ch, norm);
 
   if ( show_normal  )
   {
-    /* Draw the normal curve */    
+    /* Draw the normal curve */
 
     double d ;
     double x_min, x_max, not_used ;
@@ -162,16 +159,16 @@ histogram_plot(const gsl_histogram *hist,
     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) / 
+    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 ; 
+    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 * 
+      {
+       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);