/* Attributes of aggregation functions. */
const struct agr_func agr_func_tab[] =
{
- {"SUM", N_("Sum of values"), AGR_SV_YES, 0, -1, {FMT_F, 8, 2}},
- {"MEAN", N_("Mean average"), AGR_SV_YES, 0, -1, {FMT_F, 8, 2}},
- {"MEDIAN", N_("Median average"), AGR_SV_YES, 0, -1, {FMT_F, 8, 2}},
- {"SD", N_("Standard deviation"), AGR_SV_YES, 0, -1, {FMT_F, 8, 2}},
+ {"SUM", N_("Sum of values"), AGR_SV_YES, 0, -1, { .type = FMT_F, .w = 8, .d = 2 }},
+ {"MEAN", N_("Mean average"), AGR_SV_YES, 0, -1, { .type = FMT_F, .w = 8, .d = 2 }},
+ {"MEDIAN", N_("Median average"), AGR_SV_YES, 0, -1, { .type = FMT_F, .w = 8, .d = 2 }},
+ {"SD", N_("Standard deviation"), AGR_SV_YES, 0, -1, { .type = FMT_F, .w = 8, .d = 2 }},
{"MAX", N_("Maximum value"), AGR_SV_YES, 0, VAL_STRING, {-1, -1, -1}},
{"MIN", N_("Minimum value"), AGR_SV_YES, 0, VAL_STRING, {-1, -1, -1}},
- {"PGT", N_("Percentage greater than"), AGR_SV_YES, 1, VAL_NUMERIC, {FMT_F, 5, 1}},
- {"PLT", N_("Percentage less than"), AGR_SV_YES, 1, VAL_NUMERIC, {FMT_F, 5, 1}},
- {"PIN", N_("Percentage included in range"), AGR_SV_YES, 2, VAL_NUMERIC, {FMT_F, 5, 1}},
- {"POUT", N_("Percentage excluded from range"), AGR_SV_YES, 2, VAL_NUMERIC, {FMT_F, 5, 1}},
- {"FGT", N_("Fraction greater than"), AGR_SV_YES, 1, VAL_NUMERIC, {FMT_F, 5, 3}},
- {"FLT", N_("Fraction less than"), AGR_SV_YES, 1, VAL_NUMERIC, {FMT_F, 5, 3}},
- {"FIN", N_("Fraction included in range"), AGR_SV_YES, 2, VAL_NUMERIC, {FMT_F, 5, 3}},
- {"FOUT", N_("Fraction excluded from range"), AGR_SV_YES, 2, VAL_NUMERIC, {FMT_F, 5, 3}},
- {"N", N_("Number of cases"), AGR_SV_NO, 0, VAL_NUMERIC, {FMT_F, 7, 0}},
- {"NU", N_("Number of cases (unweighted)"), AGR_SV_OPT, 0, VAL_NUMERIC, {FMT_F, 7, 0}},
- {"NMISS", N_("Number of missing values"), AGR_SV_YES, 0, VAL_NUMERIC, {FMT_F, 7, 0}},
- {"NUMISS", N_("Number of missing values (unweighted)"), AGR_SV_YES, 0, VAL_NUMERIC, {FMT_F, 7, 0}},
+ {"PGT", N_("Percentage greater than"), AGR_SV_YES, 1, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 1 }},
+ {"PLT", N_("Percentage less than"), AGR_SV_YES, 1, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 1 }},
+ {"PIN", N_("Percentage included in range"), AGR_SV_YES, 2, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 1 }},
+ {"POUT", N_("Percentage excluded from range"), AGR_SV_YES, 2, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 1 }},
+ {"FGT", N_("Fraction greater than"), AGR_SV_YES, 1, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 3 }},
+ {"FLT", N_("Fraction less than"), AGR_SV_YES, 1, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 3 }},
+ {"FIN", N_("Fraction included in range"), AGR_SV_YES, 2, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 3 }},
+ {"FOUT", N_("Fraction excluded from range"), AGR_SV_YES, 2, VAL_NUMERIC, { .type = FMT_F, .w = 5, .d = 3 }},
+ {"N", N_("Number of cases"), AGR_SV_NO, 0, VAL_NUMERIC, { .type = FMT_F, .w = 7, .d = 0 }},
+ {"NU", N_("Number of cases (unweighted)"), AGR_SV_OPT, 0, VAL_NUMERIC, { .type = FMT_F, .w = 7, .d = 0 }},
+ {"NMISS", N_("Number of missing values"), AGR_SV_YES, 0, VAL_NUMERIC, { .type = FMT_F, .w = 7, .d = 0 }},
+ {"NUMISS", N_("Number of missing values (unweighted)"), AGR_SV_YES, 0, VAL_NUMERIC, { .type = FMT_F, .w = 7, .d = 0 }},
{"FIRST", N_("First non-missing value"), AGR_SV_YES, 0, VAL_STRING, {-1, -1, -1}},
{"LAST", N_("Last non-missing value"), AGR_SV_YES, 0, VAL_STRING, {-1, -1, -1}},
{NULL, NULL, AGR_SV_NO, 0, -1, {-1, -1, -1}},
goto error;
}
- if ( agr.add_variables )
+ if (agr.add_variables)
agr.dict = dict_clone (dict);
else
agr.dict = dict_create (dict_get_encoding (dict));
initialize_aggregate_info (&agr);
- if ( agr.add_variables )
+ if (agr.add_variables)
placeholder = casereader_clone (group);
{
variables. */
for (i = 0; i < n_dest; i++)
{
- struct agr_var *v = xzalloc (sizeof *v);
+ struct agr_var *v = XZALLOC (struct agr_var);
/* Add variable to chain. */
if (agr->agr_vars != NULL)
cout = case_create (casewriter_get_proto (iter->writer));
- case_data_rw (cout, iter->subject)->f
- = case_data (input, iter->src)->f;
+ *case_num_rw (cout, iter->subject) = case_num (input, iter->src);
wv = dict_get_case_weight (agr->src_dict, input, NULL);
- case_data_rw (cout, iter->weight)->f = wv;
+ *case_num_rw (cout, iter->weight) = wv;
iter->cc += wv;
{
struct ccase *c = case_create (dict_get_proto (agr->dict));
- if ( agr->add_variables)
+ if (agr->add_variables)
{
case_copy (c, 0, break_case, 0, dict_get_var_cnt (agr->src_dict));
}
break;
case MEDIAN:
{
- if ( i->writer)
+ if (i->writer)
{
struct percentile *median = percentile_create (0.5, i->cc);
struct order_stats *os = &median->parent;
proto = caseproto_add_width (proto, 0);
proto = caseproto_add_width (proto, 0);
- if ( ! iter->subject)
+ if (! iter->subject)
iter->subject = dict_create_internal_var (0, 0);
- if ( ! iter->weight)
+ if (! iter->weight)
iter->weight = dict_create_internal_var (1, 0);
subcase_init_var (&ordering, iter->subject, SC_ASCEND);