/* PSPP - a program for statistical analysis.
- Copyright (C) 1997-9, 2000, 2007, 2009, 2010 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
{
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 determine_charts (struct frq_proc *,
const struct cmd_frequencies *);
-static void calc_stats (const struct frq_proc *, const struct var_freqs *,
- double d[FRQ_N_STATS]);
+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 *);
static void precalc (struct frq_proc *, struct casereader *, struct dataset *);
static void calc (struct frq_proc *, const struct ccase *,
double d[FRQ_N_STATS];
struct histogram *histogram;
- calc_stats (frq, vf, d);
+ calc_stats (vf, d);
histogram = freq_tab_to_hist (frq, &vf->tab, vf->var);
size_t n_vars;
size_t i;
- lex_match (lexer, '=');
+ lex_match (lexer, T_EQUALS);
if (lex_token (lexer) != T_ALL
&& (lex_token (lexer) != T_ID
- || dict_lookup_var (dataset_dict (ds), lex_tokid (lexer)) == NULL))
+ || dict_lookup_var (dataset_dict (ds), lex_tokcstr (lexer)) == NULL))
return 2;
/* Get list of current variables, to avoid duplicates. */
{
struct frq_proc *frq = frq_;
- lex_match (lexer, '=');
- if ((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_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;
}
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."));
}
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;
\f
/* Statistical display. */
-/* Calculates all the pertinent statistics for variable V, putting them in
- array D[]. */
+static double
+calc_percentile (double p, double valid_cases, double x1, double x2)
+{
+ double s, dummy;
+
+ s = (settings_get_algorithm () != COMPATIBLE
+ ? modf ((valid_cases - 1) * p, &dummy)
+ : modf ((valid_cases + 1) * p - 1, &dummy));
+
+ return x1 + (x2 - x1) * s;
+}
+
+/* Calculates all of the percentiles for VF within FRQ. */
static void
-calc_stats (const struct frq_proc *frq,
- const struct var_freqs *vf, double d[FRQ_N_STATS])
+calc_percentiles (const struct frq_proc *frq, const struct var_freqs *vf)
{
const struct freq_tab *ft = &vf->tab;
double W = ft->valid_cases;
- struct moments *m;
- struct freq *f=0;
- double prev_value;
- int most_often;
- double X_mode;
-
+ const struct freq *f;
+ int percentile_idx;
double rank;
- int i = 0;
- int idx;
-
- /* Calculate percentiles. */
assert (ft->n_valid > 0);
- for (i = 0; i < frq->n_percentiles; i++)
- {
- struct percentile *pc = &frq->percentiles[i];
-
- pc->flag = 0;
- pc->flag2 = 0;
- }
-
rank = 0;
- prev_value = SYSMIS;
- for (idx = 0; idx < ft->n_valid; ++idx)
+ percentile_idx = 0;
+ for (f = ft->valid; f < ft->missing; f++)
{
- f = &ft->valid[idx];
- rank += f->count ;
- for (i = 0; i < frq->n_percentiles; i++)
+ rank += f->count;
+ for (; percentile_idx < frq->n_percentiles; percentile_idx++)
{
- struct percentile *pc = &frq->percentiles[i];
- double tp;
-
- if ( pc->flag2 ) continue ;
-
- if ( settings_get_algorithm () != COMPATIBLE )
- tp =
- (ft->valid_cases - 1) * pc->p;
- else
- tp =
- (ft->valid_cases + 1) * pc->p - 1;
-
- if ( pc->flag )
- {
- pc->x2 = f->value.f;
- pc->x1 = prev_value;
- pc->flag2 = 1;
- continue;
- }
-
- if (rank > tp )
- {
- if ( f->count > 1 && rank - (f->count - 1) > tp )
- {
- pc->x2 = pc->x1 = f->value.f;
- pc->flag2 = 1;
- }
- else
- {
- pc->flag=1;
- }
-
- continue;
- }
- }
- prev_value = f->value.f;
- }
+ struct percentile *pc = &frq->percentiles[percentile_idx];
+ double tp;
- for (i = 0; i < frq->n_percentiles; i++)
- {
- struct percentile *pc = &frq->percentiles[i];
+ tp = (settings_get_algorithm () == ENHANCED
+ ? (W - 1) * pc->p
+ : (W + 1) * pc->p - 1);
- /* Catches the case when p == 100% */
- if ( ! pc->flag2 )
- pc->x1 = pc->x2 = f->value.f;
+ if (rank <= tp)
+ break;
- /*
- printf("percentile %d (p==%.2f); X1 = %g; X2 = %g\n",
- i,pc->p,pc->x1,pc->x2);
- */
+ 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 (i = 0; i < frq->n_percentiles; i++)
+ for (; percentile_idx < frq->n_percentiles; percentile_idx++)
{
- struct percentile *pc = &frq->percentiles[i];
- double s;
-
- double dummy;
- if ( settings_get_algorithm () != COMPATIBLE )
- {
- s = modf((ft->valid_cases - 1) * pc->p , &dummy);
- }
- else
- {
- s = modf((ft->valid_cases + 1) * pc->p -1, &dummy);
- }
-
- pc->value = pc->x1 + (pc->x2 - pc->x1) * s ;
+ struct percentile *pc = &frq->percentiles[percentile_idx];
+ pc->value = ft->valid[ft->n_valid - 1].value.f;
}
+}
+
+/* Calculates all the pertinent statistics for VF, putting them in array
+ D[]. */
+static void
+calc_stats (const struct var_freqs *vf, double d[FRQ_N_STATS])
+{
+ const struct freq_tab *ft = &vf->tab;
+ double W = ft->valid_cases;
+ const struct freq *f;
+ struct moments *m;
+ int most_often;
+ double X_mode;
+ assert (ft->n_valid > 0);
/* Calculate the mode. */
most_often = -1;
var_get_name (vf->var));
return;
}
- calc_stats (frq, vf, stat_value);
+ calc_stats (vf, stat_value);
+ calc_percentiles (frq, vf);
t = tab_create (3, frq->n_stats + frq->n_show_percentiles + 2);
projects / pspp-builds.git / blobdiff