/* 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}},
/* Break variables. */
struct subcase sort; /* Sort criteria (break variables). */
const struct variable **break_vars; /* Break variables. */
- size_t break_var_cnt; /* Number of break variables. */
+ size_t break_n_vars; /* Number of break variables. */
enum missing_treatment missing; /* How to treat missing values. */
struct agr_var *agr_vars; /* First aggregate variable. */
struct dictionary *dict; /* Aggregate dictionary. */
const struct dictionary *src_dict; /* Dict of the source */
- int case_cnt; /* Counts aggregated cases. */
+ int n_cases; /* Counts aggregated cases. */
bool add_variables; /* True iff the aggregated variables should
be appended to the existing dictionary */
if (!parse_sort_criteria (lexer, dict, &agr.sort, &agr.break_vars,
&saw_direction))
goto error;
- agr.break_var_cnt = subcase_get_n_fields (&agr.sort);
+ agr.break_n_vars = subcase_get_n_fields (&agr.sort);
if (! agr.add_variables)
- for (i = 0; i < agr.break_var_cnt; i++)
+ for (i = 0; i < agr.break_n_vars; i++)
dict_clone_var_assert (agr.dict, agr.break_vars[i]);
/* BREAK must follow the options. */
dict_set_split_vars (agr.dict, NULL, 0);
/* Initialize. */
- agr.case_cnt = 0;
+ agr.n_cases = 0;
if (out_file == NULL)
{
}
for (grouper = casegrouper_create_vars (input, agr.break_vars,
- agr.break_var_cnt);
+ agr.break_n_vars);
casegrouper_get_next_group (grouper, &group);
casereader_destroy (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)
const union value *v = case_data (input, iter->src);
int src_width = var_get_width (iter->src);
- if (var_is_value_missing (iter->src, v, iter->exclude))
+ if (var_is_value_missing (iter->src, v) & iter->exclude)
{
switch (iter->function)
{
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;
if (agr->add_variables)
{
- case_copy (c, 0, break_case, 0, dict_get_var_cnt (agr->src_dict));
+ case_copy (c, 0, break_case, 0, dict_get_n_vars (agr->src_dict));
}
else
{
int value_idx = 0;
int i;
- for (i = 0; i < agr->break_var_cnt; i++)
+ for (i = 0; i < agr->break_n_vars; i++)
{
const struct variable *v = agr->break_vars[i];
value_copy (case_data_rw_idx (c, value_idx),