static struct percentile *percentiles;
static int n_percentiles;
-static int implicit_50th ;
-
/* Groups of statistics. */
#define BI BIT_INDEX
#define frq_default \
if (cmd.a_statistics[FRQ_ST_ALL])
stats |= frq_all;
if (cmd.sort != FRQ_AVALUE && cmd.sort != FRQ_DVALUE)
- stats &= ~frq_median;
+ stats &= ~BIT_INDEX (frq_median);
for (i = 0; i < frq_n_stats; i++)
if (cmd.a_statistics[st_name[i].st_indx])
stats |= BIT_INDEX (i);
if (stats & frq_kurt)
- stats |= frq_sekurt;
+ stats |= BIT_INDEX (frq_sekurt);
if (stats & frq_skew)
- stats |= frq_seskew;
+ stats |= BIT_INDEX (frq_seskew);
/* Calculate n_stats. */
n_stats = 0;
add_percentile (j / (double) cmd.n_ntiles[i]);
}
}
-
+ 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);
+ stats &= ~BIT_INDEX (frq_median);
+ n_stats--;
+ }
/* Do it! */
input = casereader_create_filter_weight (proc_open (ds), dataset_dict (ds),
{
percentiles = pool_nrealloc (syntax_pool, percentiles,
n_percentiles + 1, sizeof *percentiles);
-
- if (i < n_percentiles)
- memmove (&percentiles[i + 1], &percentiles[i],
- (n_percentiles - i) * sizeof (struct percentile) );
-
+ insert_element (percentiles, n_percentiles, sizeof *percentiles, i);
percentiles[i].p = x;
n_percentiles++;
}
double rank;
int i = 0;
int idx;
- double *median_value;
/* Calculate percentiles. */
- /* If the 50th percentile was not explicitly requested then we must
- calculate it anyway --- it's the median */
- median_value = 0 ;
- for (i = 0; i < n_percentiles; i++)
- {
- if (percentiles[i].p == 0.5)
- {
- median_value = &percentiles[i].value;
- break;
- }
- }
-
- if ( 0 == median_value )
- {
- add_percentile (0.5);
- implicit_50th = 1;
- }
-
for (i = 0; i < n_percentiles; i++)
{
percentiles[i].flag = 0;
percentiles[i].value = percentiles[i].x1 +
( percentiles[i].x2 - percentiles[i].x1) * s ;
-
- if ( percentiles[i].p == 0.50)
- median_value = &percentiles[i].value;
}
d[frq_max] = ft->valid[ft->n_valid - 1].value[0].f;
d[frq_mode] = X_mode;
d[frq_range] = d[frq_max] - d[frq_min];
- d[frq_median] = *median_value;
d[frq_sum] = d[frq_mean] * W;
d[frq_stddev] = sqrt (d[frq_variance]);
d[frq_semean] = d[frq_stddev] / sqrt (W);
struct tab_table *t;
int i, r;
- int n_explicit_percentiles = n_percentiles;
-
- if ( implicit_50th && n_percentiles > 0 )
- --n_percentiles;
-
if (var_is_alpha (v))
return;
ft = &get_var_freqs (v)->tab;
}
calc_stats (v, stat_value);
- t = tab_create (3, n_stats + n_explicit_percentiles + 2, 0);
+ t = tab_create (3, n_stats + n_percentiles + 2, 0);
tab_dim (t, tab_natural_dimensions);
tab_box (t, TAL_1, TAL_1, -1, -1 , 0 , 0 , 2, tab_nr(t) - 1) ;
tab_float(t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, 11, 0);
- for (i = 0; i < n_explicit_percentiles; i++, r++)
+ for (i = 0; i < n_percentiles; i++, r++)
{
if ( i == 0 )
{
tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, _("Percentiles"));
}
- tab_float (t, 1, r, TAB_LEFT, percentiles[i].p * 100, 3, 0 );
+ if (percentiles[i].p == 0.5)
+ tab_text (t, 1, r, TAB_LEFT, _("50 (Median)"));
+ else
+ tab_float (t, 1, r, TAB_LEFT, percentiles[i].p * 100, 3, 0);
tab_float (t, 2, r, TAB_NONE, percentiles[i].value, 11, 3);
}
#===========#========#=========#========#========#========#
| Total| 5| 100.0| 100.0| |
+--------------------+---------+--------+--------+--------+
-+-------------------+-----+
-|N Valid | 5|
-| Missing| 0|
-|Mean |3.000|
-|Std Dev |1.581|
-|Minimum |1.000|
-|Maximum |5.000|
-|Percentiles 0 |1.000|
-| 25 |2.000|
-| 50 |3.000|
-| 75 |4.000|
-| 100 |5.000|
-+-------------------+-----+
++-----------------------+-----+
+|N Valid | 5|
+| Missing | 0|
+|Mean |3.000|
+|Std Dev |1.581|
+|Minimum |1.000|
+|Maximum |5.000|
+|Percentiles 0 |1.000|
+| 25 |2.000|
+| 50 (Median)|3.000|
+| 75 |4.000|
+| 100 |5.000|
++-----------------------+-----+
EOF
if [ $? -ne 0 ] ; then fail ; fi
#===========#========#=========#========#========#========#
| Total| 10| 100.0| 100.0| |
+--------------------+---------+--------+--------+--------+
-+-------------------+-----+
-|N Valid | 10|
-| Missing| 0|
-|Mean |3.000|
-|Std Dev |1.491|
-|Minimum |1.000|
-|Maximum |5.000|
-|Percentiles 0 |1.000|
-| 25 |2.000|
-| 50 |3.000|
-| 75 |4.000|
-| 100 |5.000|
-+-------------------+-----+
++-----------------------+-----+
+|N Valid | 10|
+| Missing | 0|
+|Mean |3.000|
+|Std Dev |1.491|
+|Minimum |1.000|
+|Maximum |5.000|
+|Percentiles 0 |1.000|
+| 25 |2.000|
+| 50 (Median)|3.000|
+| 75 |4.000|
+| 100 |5.000|
++-----------------------+-----+
EOF
if [ $? -ne 0 ] ; then fail ; fi
#===========#========#=========#========#========#========#
| Total| 6| 100.0| 100.0| |
+--------------------+---------+--------+--------+--------+
-+-------------------+-----+
-|N Valid | 6|
-| Missing| 0|
-|Mean |3.500|
-|Std Dev |1.517|
-|Minimum |1.000|
-|Maximum |5.000|
-|Percentiles 0 |1.000|
-| 25 |3.000|
-| 50 |3.500|
-| 75 |4.750|
-| 100 |5.000|
-+-------------------+-----+
++-----------------------+-----+
+|N Valid | 6|
+| Missing | 0|
+|Mean |3.500|
+|Std Dev |1.517|
+|Minimum |1.000|
+|Maximum |5.000|
+|Percentiles 0 |1.000|
+| 25 |3.000|
+| 50 (Median)|3.500|
+| 75 |4.750|
+| 100 |5.000|
++-----------------------+-----+
EOF
if [ $? -ne 0 ] ; then fail ; fi
#===========#========#=========#========#========#========#
| Total| 10| 100.0| 100.0| |
+--------------------+---------+--------+--------+--------+
-+-------------------+-----+
-|N Valid | 6|
-| Missing| 4|
-|Mean |3.500|
-|Std Dev |1.517|
-|Minimum |1.000|
-|Maximum |5.000|
-|Percentiles 0 |1.000|
-| 25 |3.000|
-| 50 |3.500|
-| 75 |4.750|
-| 100 |5.000|
-+-------------------+-----+
++-----------------------+-----+
+|N Valid | 6|
+| Missing | 4|
+|Mean |3.500|
+|Std Dev |1.517|
+|Minimum |1.000|
+|Maximum |5.000|
+|Percentiles 0 |1.000|
+| 25 |3.000|
+| 50 (Median)|3.500|
+| 75 |4.750|
+| 100 |5.000|
++-----------------------+-----+
EOF
if [ $? -ne 0 ] ; then fail ; fi