X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Fmath%2Fhistogram.c;h=9158590dd75c3a140244292004087a773eddec3c;hb=6b6ed1de7e41fe0683ec458bf8f455a159a2a653;hp=67079398d169ec58737c6f3b94a7d243b9fc8516;hpb=8af88c0b7ea2fe75df7e45497988ed0371006a86;p=pspp diff --git a/src/math/histogram.c b/src/math/histogram.c index 67079398d1..9158590dd7 100644 --- a/src/math/histogram.c +++ b/src/math/histogram.c @@ -1,5 +1,5 @@ /* PSPP - a program for statistical analysis. - Copyright (C) 2004, 2008 Free Software Foundation, Inc. + Copyright (C) 2004, 2008, 2009, 2011, 2012 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 @@ -15,69 +15,142 @@ along with this program. If not, see . */ #include -#include "histogram.h" -#include -#include +#include "math/histogram.h" #include -#include "chart-geometry.h" #include +#include "data/settings.h" +#include "libpspp/message.h" +#include "libpspp/assertion.h" +#include "libpspp/cast.h" +#include "math/chart-geometry.h" + +#include "gettext.h" +#define _(msgid) gettext (msgid) +#define N_(msgid) msgid + + +#include "gl/xalloc.h" void histogram_add (struct histogram *h, double y, double c) { - ((struct statistic *)h)->accumulate ((struct statistic *) h, NULL, c, 0, y); + struct statistic *stat = &h->parent; + stat->accumulate (stat, NULL, c, 0, y); } - - static void acc (struct statistic *s, const struct ccase *cx UNUSED, double c, double cc UNUSED, double y) { - struct histogram *hist = (struct histogram *) s; + struct histogram *hist = UP_CAST (s, struct histogram, parent); gsl_histogram_accumulate (hist->gsl_hist, y, c); } - static void destroy (struct statistic *s) { - struct histogram *h = (struct histogram *) s; + struct histogram *h = UP_CAST (s, struct histogram, parent); gsl_histogram_free (h->gsl_hist); free (s); } -struct statistic * -histogram_create (int bins, double min, double max) +/* Find a bin width which is adapted to the scaling of the x axis +In the example here, the binwidth is half of the tick interval. + + binwidth + > < + |....+....+....+. .+....| + LOWER 1 2 3 N_TICKS + ^LOWDBL ^HIGHDBL + +This only works, when the min and max value for the histogram are adapted +such that (max-min) is a multiple of the binwidth. Then the location of the +first bin has to be aligned to the ticks. +*/ +static int +hist_find_pretty_no_of_bins(double bin_width_in, double min, double max, + double *adjusted_min, double *adjusted_max) { - struct histogram *h = xmalloc (sizeof *h); - struct statistic *stat = (struct statistic *) h; - double upper_limit, lower_limit; + double lower, interval; + int n_ticks; + double binwidth; + int nbins; + + chart_get_scale (max, min, &lower, &interval, &n_ticks); + + if (bin_width_in >= 2 * interval) + { + binwidth = floor(bin_width_in/interval) * interval; + *adjusted_min = lower; + } + else if (bin_width_in >= 1.5 * interval) + { + binwidth = 1.5 * interval; + if (min < (lower + 0.5 * interval)) + *adjusted_min = lower; + else + *adjusted_min = lower + 0.5 * interval; + } + else if (bin_width_in >= interval) + { + binwidth = interval; + *adjusted_min = lower; + } + else if (bin_width_in >= (2.0/3.0 * interval)) + { + binwidth = (2.0/3.0 * interval); + if (min >= lower + binwidth) + *adjusted_min = lower + binwidth; + else + *adjusted_min = lower; + } + else + { + int i; + for(i = 2; bin_width_in < interval/i; i++); + binwidth = interval/i; + *adjusted_min = floor((min - lower)/binwidth)*binwidth + lower; + } + + nbins = ceil((max-*adjusted_min)/binwidth); + *adjusted_max = nbins*binwidth + *adjusted_min; + + return nbins; +} - double bin_width = chart_rounded_tick ((max - min) / (double) bins); - double bin_width_2 = bin_width / 2.0; - int n = ceil (max / (bin_width_2) ) ; +struct histogram * +histogram_create (double bin_width_in, double min, double max) +{ + struct histogram *h; + struct statistic *stat; + int bins; + double adjusted_min, adjusted_max; + + if (max == min) + { + msg (MW, _("Not creating histogram because the data contains less than 2 distinct values")); + return NULL; + } - assert (max > min); + assert (bin_width_in > 0); - if ( ! (n % 2 ) ) n++; - upper_limit = n * bin_width_2; + bins = hist_find_pretty_no_of_bins(bin_width_in, min, max, &adjusted_min, &adjusted_max); - n = floor (min / (bin_width_2) ) ; - if ( ! (n % 2 ) ) n--; - lower_limit = n * bin_width_2; + h = xmalloc (sizeof *h); h->gsl_hist = gsl_histogram_alloc (bins); - gsl_histogram_set_ranges_uniform (h->gsl_hist, lower_limit, upper_limit); + gsl_histogram_set_ranges_uniform (h->gsl_hist, adjusted_min, adjusted_max); + + stat = &h->parent; stat->accumulate = acc; stat->destroy = destroy; - return stat; + return h; }