#include "libpspp/misc.h"
#include "libpspp/pool.h"
#include "libpspp/str.h"
-#include "output/tab.h"
+#include "output/pivot-table.h"
#include "output/chart-item.h"
#include "output/charts/barchart.h"
/* Higher indexes cause multiple tables to be output. */
};
+struct xtab_var
+ {
+ const struct variable *var;
+ union value *values;
+ size_t n_values;
+ };
+
/* A crosstabulation of 2 or more variables. */
struct crosstabulation
{
/* Variables (2 or more). */
int n_vars;
- const struct variable **vars;
+ struct xtab_var *vars;
/* Constants (0 or more). */
int n_consts;
- const struct variable **const_vars;
- union value *const_values;
+ struct xtab_var *const_vars;
+ size_t *const_indexes;
/* Data. */
struct hmap data;
struct freq **entries;
size_t n_entries;
- /* Column values, number of columns. */
- union value *cols;
- int n_cols;
-
- /* Row values, number of rows. */
- union value *rows;
- int n_rows;
-
/* Number of statistically interesting columns/rows
(columns/rows with data in them). */
int ns_cols, ns_rows;
static void tabulate_integer_case (struct crosstabulation *, const struct ccase *,
double weight);
static void postcalc (struct crosstabs_proc *);
-static void submit (struct crosstabulation *, struct tab_table *);
static double
round_weight (const struct crosstabs_proc *proc, double weight)
return proc->round_down ? floor (weight) : floor (weight + 0.5);
}
+#define FOR_EACH_POPULATED_COLUMN(C, XT) \
+ for (int C = next_populated_column (0, XT); \
+ C < (XT)->vars[COL_VAR].n_values; \
+ C = next_populated_column (C + 1, XT))
+static int
+next_populated_column (int c, const struct crosstabulation *xt)
+{
+ int n_columns = xt->vars[COL_VAR].n_values;
+ for (; c < n_columns; c++)
+ if (xt->col_tot[c])
+ break;
+ return c;
+}
+
+#define FOR_EACH_POPULATED_ROW(R, XT) \
+ for (int R = next_populated_row (0, XT); R < (XT)->vars[ROW_VAR].n_values; \
+ R = next_populated_row (R + 1, XT))
+static int
+next_populated_row (int r, const struct crosstabulation *xt)
+{
+ int n_rows = xt->vars[ROW_VAR].n_values;
+ for (; r < n_rows; r++)
+ if (xt->row_tot[r])
+ break;
+ return r;
+}
+
/* Parses and executes the CROSSTABS procedure. */
int
cmd_crosstabs (struct lexer *lexer, struct dataset *ds)
{
free (xt->vars);
free (xt->const_vars);
- /* We must not call value_destroy on const_values because
- it is a wild pointer; it never pointed to anything owned
- by the crosstabulation.
-
- The rest of the data was allocated and destroyed at a
- lower level already. */
+ free (xt->const_indexes);
}
free (proc.pivots);
xt->weight_format = proc->weight_format;
xt->missing = 0.;
xt->n_vars = n_by;
- xt->vars = xmalloc (n_by * sizeof *xt->vars);
+ xt->vars = xcalloc (n_by, sizeof *xt->vars);
xt->n_consts = 0;
xt->const_vars = NULL;
- xt->const_values = NULL;
+ xt->const_indexes = NULL;
for (j = 0; j < n_by; j++)
- xt->vars[j] = by[j][by_iter[j]];
+ xt->vars[j].var = by[j][by_iter[j]];
for (j = n_by - 1; j >= 0; j--)
{
int j;
for (j = 0; j < xt->n_vars; j++)
{
- const struct variable *var = xt->vars[j];
+ const struct variable *var = xt->vars[j].var;
const struct var_range *range = get_var_range (xt->proc, var);
if (var_is_value_missing (var, case_data (c, var), exclude))
for (j = 0; j < xt->n_vars; j++)
{
/* Throw away fractional parts of values. */
- hash = hash_int (case_num (c, xt->vars[j]), hash);
+ hash = hash_int (case_num (c, xt->vars[j].var), hash);
}
HMAP_FOR_EACH_WITH_HASH (te, struct freq, node, hash, &xt->data)
{
for (j = 0; j < xt->n_vars; j++)
- if ((int) case_num (c, xt->vars[j]) != (int) te->values[j].f)
+ if ((int) case_num (c, xt->vars[j].var) != (int) te->values[j].f)
goto no_match;
/* Found an existing entry. */
te = xmalloc (table_entry_size (xt->n_vars));
te->count = weight;
for (j = 0; j < xt->n_vars; j++)
- te->values[j].f = (int) case_num (c, xt->vars[j]);
+ te->values[j].f = (int) case_num (c, xt->vars[j].var);
hmap_insert (&xt->data, &te->node, hash);
}
hash = 0;
for (j = 0; j < xt->n_vars; j++)
{
- const struct variable *var = xt->vars[j];
+ const struct variable *var = xt->vars[j].var;
hash = value_hash (case_data (c, var), var_get_width (var), hash);
}
{
for (j = 0; j < xt->n_vars; j++)
{
- const struct variable *var = xt->vars[j];
+ const struct variable *var = xt->vars[j].var;
if (!value_equal (case_data (c, var), &te->values[j],
var_get_width (var)))
goto no_match;
te->count = weight;
for (j = 0; j < xt->n_vars; j++)
{
- const struct variable *var = xt->vars[j];
+ const struct variable *var = xt->vars[j].var;
value_clone (&te->values[j], case_data (c, var), var_get_width (var));
}
hmap_insert (&xt->data, &te->node, hash);
const void *xt_);
static void enum_var_values (const struct crosstabulation *, int var_idx,
- union value **valuesp, int *n_values,
bool descending);
+static void free_var_values (const struct crosstabulation *, int var_idx);
static void output_crosstabulation (struct crosstabs_proc *,
struct crosstabulation *);
static void make_crosstabulation_subset (struct crosstabulation *xt,
struct crosstabulation subset;
make_crosstabulation_subset (xt, row0, row1, &subset);
output_crosstabulation (proc, &subset);
+ free (subset.const_indexes);
}
}
if (proc->barchart)
- chart_item_submit
- (barchart_create (xt->vars, xt->n_vars, _("Count"), false, xt->entries, xt->n_entries));
+ {
+ const struct variable **vars = xcalloc (xt->n_vars, sizeof *vars);
+ for (size_t i = 0; i < xt->n_vars; i++)
+ vars[i] = xt->vars[i].var;
+ chart_item_submit (barchart_create (vars, xt->n_vars, _("Count"),
+ false,
+ xt->entries, xt->n_entries));
+ free (vars);
+ }
}
/* Free output and prepare for next split file. */
respectively). */
for (size_t i = 0; i < xt->n_vars; i++)
{
- int width = var_get_width (xt->vars[i]);
+ int width = var_get_width (xt->vars[i].var);
if (value_needs_init (width))
{
size_t j;
if (xt->n_vars > 2)
{
assert (xt->n_consts == 0);
- subset->missing = xt->missing;
subset->n_vars = 2;
subset->vars = xt->vars;
+
subset->n_consts = xt->n_vars - 2;
subset->const_vars = xt->vars + 2;
- subset->const_values = &xt->entries[row0]->values[2];
+ subset->const_indexes = xcalloc (subset->n_consts,
+ sizeof *subset->const_indexes);
+ for (size_t i = 0; i < subset->n_consts; i++)
+ {
+ const union value *value = &xt->entries[row0]->values[2 + i];
+
+ for (size_t j = 0; j < xt->vars[2 + i].n_values; j++)
+ if (value_equal (&xt->vars[2 + i].values[j], value,
+ var_get_width (xt->vars[2 + i].var)))
+ {
+ subset->const_indexes[i] = j;
+ goto found;
+ }
+ NOT_REACHED ();
+ found: ;
+ }
}
subset->entries = &xt->entries[row0];
subset->n_entries = row1 - row0;
int idx)
{
return value_compare_3way (&a->values[idx], &b->values[idx],
- var_get_width (xt->vars[idx]));
+ var_get_width (xt->vars[idx].var));
}
static int
return -compare_table_entry_3way (ap_, bp_, xt_);
}
-static int
-find_first_difference (const struct crosstabulation *xt, size_t row)
-{
- if (row == 0)
- return xt->n_vars - 1;
- else
- {
- const struct freq *a = xt->entries[row];
- const struct freq *b = xt->entries[row - 1];
- int col;
-
- for (col = xt->n_vars - 1; col >= 0; col--)
- if (compare_table_entry_var_3way (a, b, xt, col))
- return col;
- NOT_REACHED ();
- }
-}
-
/* Output a table summarizing the cases processed. */
static void
make_summary_table (struct crosstabs_proc *proc)
{
- struct tab_table *summary;
- struct crosstabulation *xt;
- struct string name;
- int i;
-
- summary = tab_create (7, 3 + proc->n_pivots);
- tab_set_format (summary, RC_WEIGHT, &proc->weight_format);
- tab_title (summary, _("Summary."));
- tab_headers (summary, 1, 0, 3, 0);
- tab_joint_text (summary, 1, 0, 6, 0, TAB_CENTER, _("Cases"));
- tab_joint_text (summary, 1, 1, 2, 1, TAB_CENTER, _("Valid"));
- tab_joint_text (summary, 3, 1, 4, 1, TAB_CENTER, _("Missing"));
- tab_joint_text (summary, 5, 1, 6, 1, TAB_CENTER, _("Total"));
- tab_hline (summary, TAL_1, 1, 6, 1);
- tab_hline (summary, TAL_1, 1, 6, 2);
- tab_vline (summary, TAL_1, 3, 1, 1);
- tab_vline (summary, TAL_1, 5, 1, 1);
- for (i = 0; i < 3; i++)
- {
- tab_text (summary, 1 + i * 2, 2, TAB_RIGHT, _("N"));
- tab_text (summary, 2 + i * 2, 2, TAB_RIGHT, _("Percent"));
- }
- tab_offset (summary, 0, 3);
+ struct pivot_table *table = pivot_table_create (N_("Summary"));
+ pivot_table_set_weight_var (table, dict_get_weight (proc->dict));
- ds_init_empty (&name);
- for (xt = &proc->pivots[0]; xt < &proc->pivots[proc->n_pivots]; xt++)
- {
- double valid;
- double n[3];
- size_t i;
+ pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Statistics"),
+ N_("N"), PIVOT_RC_COUNT,
+ N_("Percent"), PIVOT_RC_PERCENT);
- tab_hline (summary, TAL_1, 0, 6, 0);
+ struct pivot_dimension *cases = pivot_dimension_create (
+ table, PIVOT_AXIS_COLUMN, N_("Cases"),
+ N_("Valid"), N_("Missing"), N_("Total"));
+ cases->root->show_label = true;
- ds_clear (&name);
- for (i = 0; i < xt->n_vars; i++)
+ struct pivot_dimension *tables = pivot_dimension_create (
+ table, PIVOT_AXIS_ROW, N_("Crosstabulation"));
+ for (struct crosstabulation *xt = &proc->pivots[0];
+ xt < &proc->pivots[proc->n_pivots]; xt++)
+ {
+ struct string name = DS_EMPTY_INITIALIZER;
+ for (size_t i = 0; i < xt->n_vars; i++)
{
if (i > 0)
- ds_put_cstr (&name, " * ");
- ds_put_cstr (&name, var_to_string (xt->vars[i]));
+ ds_put_cstr (&name, " × ");
+ ds_put_cstr (&name, var_to_string (xt->vars[i].var));
}
- tab_text (summary, 0, 0, TAB_LEFT, ds_cstr (&name));
- valid = 0.;
- for (i = 0; i < xt->n_entries; i++)
+ int row = pivot_category_create_leaf (
+ tables->root,
+ pivot_value_new_user_text_nocopy (ds_steal_cstr (&name)));
+
+ double valid = 0.;
+ for (size_t i = 0; i < xt->n_entries; i++)
valid += xt->entries[i]->count;
+ double n[3];
n[0] = valid;
n[1] = xt->missing;
n[2] = n[0] + n[1];
- for (i = 0; i < 3; i++)
+ for (int i = 0; i < 3; i++)
{
- tab_double (summary, i * 2 + 1, 0, TAB_RIGHT, n[i], NULL, RC_WEIGHT);
- tab_text_format (summary, i * 2 + 2, 0, TAB_RIGHT, "%.1f%%",
- n[i] / n[2] * 100.);
+ pivot_table_put3 (table, 0, i, row, pivot_value_new_number (n[i]));
+ pivot_table_put3 (table, 1, i, row,
+ pivot_value_new_number (n[i] / n[2] * 100.0));
}
-
- tab_next_row (summary);
}
- ds_destroy (&name);
- submit (NULL, summary);
+ pivot_table_submit (table);
}
\f
/* Output. */
-static struct tab_table *create_crosstab_table (struct crosstabs_proc *,
- struct crosstabulation *);
-static struct tab_table *create_chisq_table (struct crosstabs_proc *proc, struct crosstabulation *);
-static struct tab_table *create_sym_table (struct crosstabs_proc *proc, struct crosstabulation *);
-static struct tab_table *create_risk_table (struct crosstabs_proc *proc, struct crosstabulation *);
-static struct tab_table *create_direct_table (struct crosstabs_proc *proc, struct crosstabulation *);
-static void display_dimensions (struct crosstabs_proc *, struct crosstabulation *,
- struct tab_table *, int first_difference);
+static struct pivot_table *create_crosstab_table (
+ struct crosstabs_proc *, struct crosstabulation *,
+ size_t crs_leaves[CRS_CL_count]);
+static struct pivot_table *create_chisq_table (struct crosstabulation *);
+static struct pivot_table *create_sym_table (struct crosstabulation *);
+static struct pivot_table *create_risk_table (
+ struct crosstabulation *, struct pivot_dimension **risk_statistics);
+static struct pivot_table *create_direct_table (struct crosstabulation *);
static void display_crosstabulation (struct crosstabs_proc *,
struct crosstabulation *,
- struct tab_table *);
-static void display_chisq (struct crosstabulation *, struct tab_table *,
- bool *showed_fisher);
-static void display_symmetric (struct crosstabs_proc *, struct crosstabulation *,
- struct tab_table *);
-static void display_risk (struct crosstabulation *, struct tab_table *);
-static void display_directional (struct crosstabs_proc *, struct crosstabulation *,
- struct tab_table *);
-static void table_value_missing (struct crosstabs_proc *proc,
- struct tab_table *table, int c, int r,
- unsigned char opt, const union value *v,
- const struct variable *var);
+ struct pivot_table *,
+ size_t crs_leaves[CRS_CL_count]);
+static void display_chisq (struct crosstabulation *, struct pivot_table *);
+static void display_symmetric (struct crosstabs_proc *,
+ struct crosstabulation *, struct pivot_table *);
+static void display_risk (struct crosstabulation *, struct pivot_table *,
+ struct pivot_dimension *risk_statistics);
+static void display_directional (struct crosstabs_proc *,
+ struct crosstabulation *,
+ struct pivot_table *);
static void delete_missing (struct crosstabulation *);
static void build_matrix (struct crosstabulation *);
static void
output_crosstabulation (struct crosstabs_proc *proc, struct crosstabulation *xt)
{
- struct tab_table *table = NULL; /* Crosstabulation table. */
- struct tab_table *chisq = NULL; /* Chi-square table. */
- bool showed_fisher = false;
- struct tab_table *sym = NULL; /* Symmetric measures table. */
- struct tab_table *risk = NULL; /* Risk estimate table. */
- struct tab_table *direct = NULL; /* Directional measures table. */
- size_t row0, row1;
+ for (size_t i = 0; i < xt->n_vars; i++)
+ enum_var_values (xt, i, proc->descending);
- enum_var_values (xt, COL_VAR, &xt->cols, &xt->n_cols, proc->descending);
-
- if (xt->n_cols == 0)
+ if (xt->vars[COL_VAR].n_values == 0)
{
struct string vars;
int i;
- ds_init_cstr (&vars, var_to_string (xt->vars[0]));
+ ds_init_cstr (&vars, var_to_string (xt->vars[0].var));
for (i = 1; i < xt->n_vars; i++)
- ds_put_format (&vars, " * %s", var_to_string (xt->vars[i]));
+ ds_put_format (&vars, " × %s", var_to_string (xt->vars[i].var));
/* TRANSLATORS: The %s here describes a crosstabulation. It takes the
form "var1 * var2 * var3 * ...". */
ds_cstr (&vars));
ds_destroy (&vars);
- free (xt->cols);
+ for (size_t i = 0; i < xt->n_vars; i++)
+ free_var_values (xt, i);
return;
}
- if (proc->cells)
- table = create_crosstab_table (proc, xt);
- if (proc->statistics & (1u << CRS_ST_CHISQ))
- chisq = create_chisq_table (proc, xt);
- if (proc->statistics & ((1u << CRS_ST_PHI) | (1u << CRS_ST_CC)
- | (1u << CRS_ST_BTAU) | (1u << CRS_ST_CTAU)
- | (1u << CRS_ST_GAMMA) | (1u << CRS_ST_CORR)
- | (1u << CRS_ST_KAPPA)))
- sym = create_sym_table (proc, xt);
- if (proc->statistics & (1u << CRS_ST_RISK))
- risk = create_risk_table (proc, xt);
- if (proc->statistics & ((1u << CRS_ST_LAMBDA) | (1u << CRS_ST_UC)
- | (1u << CRS_ST_D) | (1u << CRS_ST_ETA)))
- direct = create_direct_table (proc, xt);
-
- row0 = row1 = 0;
+ size_t crs_leaves[CRS_CL_count];
+ struct pivot_table *table = (proc->cells
+ ? create_crosstab_table (proc, xt, crs_leaves)
+ : NULL);
+ struct pivot_table *chisq = (proc->statistics & (1u << CRS_ST_CHISQ)
+ ? create_chisq_table (xt)
+ : NULL);
+ struct pivot_table *sym
+ = (proc->statistics & ((1u << CRS_ST_PHI) | (1u << CRS_ST_CC)
+ | (1u << CRS_ST_BTAU) | (1u << CRS_ST_CTAU)
+ | (1u << CRS_ST_GAMMA) | (1u << CRS_ST_CORR)
+ | (1u << CRS_ST_KAPPA))
+ ? create_sym_table (xt)
+ : NULL);
+ struct pivot_dimension *risk_statistics = NULL;
+ struct pivot_table *risk = (proc->statistics & (1u << CRS_ST_RISK)
+ ? create_risk_table (xt, &risk_statistics)
+ : NULL);
+ struct pivot_table *direct
+ = (proc->statistics & ((1u << CRS_ST_LAMBDA) | (1u << CRS_ST_UC)
+ | (1u << CRS_ST_D) | (1u << CRS_ST_ETA))
+ ? create_direct_table (xt)
+ : NULL);
+
+ size_t row0 = 0;
+ size_t row1 = 0;
while (find_crosstab (xt, &row0, &row1))
{
struct crosstabulation x;
- int first_difference;
make_crosstabulation_subset (xt, row0, row1, &x);
- /* Find all the row variable values. */
- enum_var_values (&x, ROW_VAR, &x.rows, &x.n_rows, proc->descending);
-
- if (size_overflow_p (xtimes (xtimes (x.n_rows, x.n_cols),
- sizeof (double))))
+ size_t n_rows = x.vars[ROW_VAR].n_values;
+ size_t n_cols = x.vars[COL_VAR].n_values;
+ if (size_overflow_p (xtimes (xtimes (n_rows, n_cols), sizeof (double))))
xalloc_die ();
- x.row_tot = xmalloc (x.n_rows * sizeof *x.row_tot);
- x.col_tot = xmalloc (x.n_cols * sizeof *x.col_tot);
- x.mat = xmalloc (x.n_rows * x.n_cols * sizeof *x.mat);
-
- /* Allocate table space for the matrix. */
- if (table
- && tab_row (table) + (x.n_rows + 1) * proc->n_cells > tab_nr (table))
- tab_realloc (table, -1,
- MAX (tab_nr (table) + (x.n_rows + 1) * proc->n_cells,
- tab_nr (table) * xt->n_entries / x.n_entries));
+ x.row_tot = xmalloc (n_rows * sizeof *x.row_tot);
+ x.col_tot = xmalloc (n_cols * sizeof *x.col_tot);
+ x.mat = xmalloc (n_rows * n_cols * sizeof *x.mat);
build_matrix (&x);
/* Find the first variable that differs from the last subtable. */
- first_difference = find_first_difference (xt, row0);
if (table)
- {
- display_dimensions (proc, &x, table, first_difference);
- display_crosstabulation (proc, &x, table);
- }
+ display_crosstabulation (proc, &x, table, crs_leaves);
if (proc->exclude == MV_NEVER)
delete_missing (&x);
if (chisq)
- {
- display_dimensions (proc, &x, chisq, first_difference);
- display_chisq (&x, chisq, &showed_fisher);
- }
+ display_chisq (&x, chisq);
+
if (sym)
- {
- display_dimensions (proc, &x, sym, first_difference);
- display_symmetric (proc, &x, sym);
- }
+ display_symmetric (proc, &x, sym);
if (risk)
- {
- display_dimensions (proc, &x, risk, first_difference);
- display_risk (&x, risk);
- }
+ display_risk (&x, risk, risk_statistics);
if (direct)
- {
- display_dimensions (proc, &x, direct, first_difference);
- display_directional (proc, &x, direct);
- }
-
- /* Free the parts of x that are not owned by xt. In
- particular we must not free x.cols, which is the same as
- xt->cols, which is freed at the end of this function. */
- free (x.rows);
+ display_directional (proc, &x, direct);
free (x.mat);
free (x.row_tot);
free (x.col_tot);
+ free (x.const_indexes);
}
- submit (NULL, table);
+ if (table)
+ pivot_table_submit (table);
if (chisq)
+ pivot_table_submit (chisq);
+
+ if (sym)
+ pivot_table_submit (sym);
+
+ if (risk)
{
- if (!showed_fisher)
- tab_resize (chisq, 4 + (xt->n_vars - 2), -1);
- submit (xt, chisq);
+ if (!pivot_table_is_empty (risk))
+ pivot_table_submit (risk);
+ else
+ pivot_table_unref (risk);
}
- submit (xt, sym);
- submit (xt, risk);
- submit (xt, direct);
+ if (direct)
+ pivot_table_submit (direct);
- free (xt->cols);
+ for (size_t i = 0; i < xt->n_vars; i++)
+ free_var_values (xt, i);
}
static void
build_matrix (struct crosstabulation *x)
{
- const int col_var_width = var_get_width (x->vars[COL_VAR]);
- const int row_var_width = var_get_width (x->vars[ROW_VAR]);
+ const int col_var_width = var_get_width (x->vars[COL_VAR].var);
+ const int row_var_width = var_get_width (x->vars[ROW_VAR].var);
+ size_t n_rows = x->vars[ROW_VAR].n_values;
+ size_t n_cols = x->vars[COL_VAR].n_values;
int col, row;
double *mp;
struct freq **p;
{
const struct freq *te = *p;
- while (!value_equal (&x->rows[row], &te->values[ROW_VAR], row_var_width))
+ while (!value_equal (&x->vars[ROW_VAR].values[row],
+ &te->values[ROW_VAR], row_var_width))
{
- for (; col < x->n_cols; col++)
+ for (; col < n_cols; col++)
*mp++ = 0.0;
col = 0;
row++;
}
- while (!value_equal (&x->cols[col], &te->values[COL_VAR], col_var_width))
+ while (!value_equal (&x->vars[COL_VAR].values[col],
+ &te->values[COL_VAR], col_var_width))
{
*mp++ = 0.0;
col++;
}
*mp++ = te->count;
- if (++col >= x->n_cols)
+ if (++col >= n_cols)
{
col = 0;
row++;
}
}
- while (mp < &x->mat[x->n_cols * x->n_rows])
+ while (mp < &x->mat[n_cols * n_rows])
*mp++ = 0.0;
- assert (mp == &x->mat[x->n_cols * x->n_rows]);
+ assert (mp == &x->mat[n_cols * n_rows]);
/* Column totals, row totals, ns_rows. */
mp = x->mat;
- for (col = 0; col < x->n_cols; col++)
+ for (col = 0; col < n_cols; col++)
x->col_tot[col] = 0.0;
- for (row = 0; row < x->n_rows; row++)
+ for (row = 0; row < n_rows; row++)
x->row_tot[row] = 0.0;
x->ns_rows = 0;
- for (row = 0; row < x->n_rows; row++)
+ for (row = 0; row < n_rows; row++)
{
bool row_is_empty = true;
- for (col = 0; col < x->n_cols; col++)
+ for (col = 0; col < n_cols; col++)
{
if (*mp != 0.0)
{
if (!row_is_empty)
x->ns_rows++;
}
- assert (mp == &x->mat[x->n_cols * x->n_rows]);
+ assert (mp == &x->mat[n_cols * n_rows]);
/* ns_cols. */
x->ns_cols = 0;
- for (col = 0; col < x->n_cols; col++)
- for (row = 0; row < x->n_rows; row++)
- if (x->mat[col + row * x->n_cols] != 0.0)
+ for (col = 0; col < n_cols; col++)
+ for (row = 0; row < n_rows; row++)
+ if (x->mat[col + row * n_cols] != 0.0)
{
x->ns_cols++;
break;
/* Grand total. */
x->total = 0.0;
- for (col = 0; col < x->n_cols; col++)
+ for (col = 0; col < n_cols; col++)
x->total += x->col_tot[col];
}
-static struct tab_table *
-create_crosstab_table (struct crosstabs_proc *proc, struct crosstabulation *xt)
+static void
+add_var_dimension (struct pivot_table *table, const struct xtab_var *var,
+ enum pivot_axis_type axis_type, bool total)
{
- struct tuple
- {
- int value;
- const char *name;
- };
- static const struct tuple names[] =
- {
- {CRS_CL_COUNT, N_("count")},
- {CRS_CL_ROW, N_("row %")},
- {CRS_CL_COLUMN, N_("column %")},
- {CRS_CL_TOTAL, N_("total %")},
- {CRS_CL_EXPECTED, N_("expected")},
- {CRS_CL_RESIDUAL, N_("residual")},
- {CRS_CL_SRESIDUAL, N_("std. resid.")},
- {CRS_CL_ASRESIDUAL, N_("adj. resid.")},
- };
- const int n_names = sizeof names / sizeof *names;
- const struct tuple *t;
+ struct pivot_dimension *d = pivot_dimension_create__ (
+ table, axis_type, pivot_value_new_variable (var->var));
- struct tab_table *table;
- struct string title;
- struct crosstabulation x;
+ struct pivot_footnote *missing_footnote = pivot_table_create_footnote (
+ table, pivot_value_new_text (N_("Missing value")));
- int i;
-
- make_crosstabulation_subset (xt, 0, 0, &x);
-
- table = tab_create (x.n_consts + 1 + x.n_cols + 1,
- (x.n_entries / x.n_cols) * 3 / 2 * proc->n_cells + 10);
- tab_headers (table, x.n_consts + 1, 0, 2, 0);
- tab_set_format (table, RC_WEIGHT, &proc->weight_format);
-
- /* First header line. */
- tab_joint_text (table, x.n_consts + 1, 0,
- (x.n_consts + 1) + (x.n_cols - 1), 0,
- TAB_CENTER | TAT_TITLE, var_to_string (x.vars[COL_VAR]));
-
- tab_hline (table, TAL_1, x.n_consts + 1,
- x.n_consts + 2 + x.n_cols - 2, 1);
-
- /* Second header line. */
- for (i = 2; i < x.n_consts + 2; i++)
- tab_joint_text (table, x.n_consts + 2 - i - 1, 0,
- x.n_consts + 2 - i - 1, 1,
- TAB_RIGHT | TAT_TITLE, var_to_string (x.vars[i]));
- tab_text (table, x.n_consts + 2 - 2, 1, TAB_RIGHT | TAT_TITLE,
- var_to_string (x.vars[ROW_VAR]));
- for (i = 0; i < x.n_cols; i++)
- table_value_missing (proc, table, x.n_consts + 2 + i - 1, 1, TAB_RIGHT,
- &x.cols[i], x.vars[COL_VAR]);
- tab_text (table, x.n_consts + 2 + x.n_cols - 1, 1, TAB_CENTER, _("Total"));
+ struct pivot_category *group = pivot_category_create_group__ (
+ d->root, pivot_value_new_variable (var->var));
+ for (size_t j = 0; j < var->n_values; j++)
+ {
+ struct pivot_value *value = pivot_value_new_var_value (
+ var->var, &var->values[j]);
+ if (var_is_value_missing (var->var, &var->values[j], MV_ANY))
+ pivot_value_add_footnote (value, missing_footnote);
+ pivot_category_create_leaf (group, value);
+ }
- tab_hline (table, TAL_1, 0, x.n_consts + 2 + x.n_cols - 1, 2);
- tab_vline (table, TAL_1, x.n_consts + 2 + x.n_cols - 1, 0, 1);
+ if (total)
+ pivot_category_create_leaf (d->root, pivot_value_new_text (N_("Total")));
+}
+static struct pivot_table *
+create_crosstab_table (struct crosstabs_proc *proc, struct crosstabulation *xt,
+ size_t crs_leaves[CRS_CL_count])
+{
/* Title. */
- ds_init_empty (&title);
- for (i = 0; i < x.n_consts + 2; i++)
+ struct string title = DS_EMPTY_INITIALIZER;
+ for (size_t i = 0; i < xt->n_vars; i++)
{
if (i)
- ds_put_cstr (&title, " * ");
- ds_put_cstr (&title, var_to_string (x.vars[i]));
+ ds_put_cstr (&title, " × ");
+ ds_put_cstr (&title, var_to_string (xt->vars[i].var));
}
- for (i = 0; i < xt->n_consts; i++)
+ for (size_t i = 0; i < xt->n_consts; i++)
{
- const struct variable *var = xt->const_vars[i];
+ const struct variable *var = xt->const_vars[i].var;
+ const union value *value = &xt->entries[0]->values[2 + i];
char *s;
ds_put_format (&title, ", %s=", var_to_string (var));
/* Insert the formatted value of VAR without any leading spaces. */
- s = data_out (&xt->const_values[i], var_get_encoding (var),
- var_get_print_format (var));
+ s = data_out (value, var_get_encoding (var), var_get_print_format (var));
ds_put_cstr (&title, s + strspn (s, " "));
free (s);
}
+ struct pivot_table *table = pivot_table_create__ (
+ pivot_value_new_user_text_nocopy (ds_steal_cstr (&title)));
+ pivot_table_set_weight_format (table, &proc->weight_format);
+ table->omit_empty = true;
- ds_put_cstr (&title, " [");
- i = 0;
- for (t = names; t < &names[n_names]; t++)
- if (proc->cells & (1u << t->value))
- {
- if (i++)
- ds_put_cstr (&title, ", ");
- ds_put_cstr (&title, gettext (t->name));
- }
- ds_put_cstr (&title, "].");
+ struct pivot_dimension *statistics = pivot_dimension_create (
+ table, PIVOT_AXIS_ROW, N_("Statistics"));
+
+ struct statistic
+ {
+ const char *label;
+ const char *rc;
+ };
+ static const struct statistic stats[CRS_CL_count] =
+ {
+ [CRS_CL_COUNT] = { N_("Count"), PIVOT_RC_COUNT },
+ [CRS_CL_ROW] = { N_("Row %"), PIVOT_RC_PERCENT },
+ [CRS_CL_COLUMN] = { N_("Column %"), PIVOT_RC_PERCENT },
+ [CRS_CL_TOTAL] = { N_("Total %"), PIVOT_RC_PERCENT },
+ [CRS_CL_EXPECTED] = { N_("Expected"), PIVOT_RC_OTHER },
+ [CRS_CL_RESIDUAL] = { N_("Residual"), PIVOT_RC_RESIDUAL },
+ [CRS_CL_SRESIDUAL] = { N_("Std. Residual"), PIVOT_RC_RESIDUAL },
+ [CRS_CL_ASRESIDUAL] = { N_("Adjusted Residual"), PIVOT_RC_RESIDUAL },
+ };
+ for (size_t i = 0; i < CRS_CL_count; i++)
+ if (proc->cells & (1u << i) && stats[i].label)
+ crs_leaves[i] = pivot_category_create_leaf_rc (
+ statistics->root, pivot_value_new_text (stats[i].label),
+ stats[i].rc);
- tab_title (table, "%s", ds_cstr (&title));
- ds_destroy (&title);
+ for (size_t i = 0; i < xt->n_vars; i++)
+ add_var_dimension (table, &xt->vars[i],
+ i == COL_VAR ? PIVOT_AXIS_COLUMN : PIVOT_AXIS_ROW,
+ true);
- tab_offset (table, 0, 2);
return table;
}
-static struct tab_table *
-create_chisq_table (struct crosstabs_proc *proc, struct crosstabulation *xt)
+static struct pivot_table *
+create_chisq_table (struct crosstabulation *xt)
{
- struct tab_table *chisq;
-
- chisq = tab_create (6 + (xt->n_vars - 2),
- xt->n_entries / xt->n_cols * 3 / 2 * N_CHISQ + 10);
- tab_headers (chisq, 1 + (xt->n_vars - 2), 0, 1, 0);
- tab_set_format (chisq, RC_WEIGHT, &proc->weight_format);
-
- tab_title (chisq, _("Chi-square tests."));
-
- tab_offset (chisq, xt->n_vars - 2, 0);
- tab_text (chisq, 0, 0, TAB_LEFT | TAT_TITLE, _("Statistic"));
- tab_text (chisq, 1, 0, TAB_RIGHT | TAT_TITLE, _("Value"));
- tab_text (chisq, 2, 0, TAB_RIGHT | TAT_TITLE, _("df"));
- tab_text (chisq, 3, 0, TAB_RIGHT | TAT_TITLE,
- _("Asymp. Sig. (2-tailed)"));
- tab_text_format (chisq, 4, 0, TAB_RIGHT | TAT_TITLE,
- _("Exact Sig. (%d-tailed)"), 2);
- tab_text_format (chisq, 5, 0, TAB_RIGHT | TAT_TITLE,
- _("Exact Sig. (%d-tailed)"), 1);
- tab_offset (chisq, 0, 1);
+ struct pivot_table *chisq = pivot_table_create (N_("Chi-Square Tests"));
+ pivot_table_set_weight_format (chisq, &xt->weight_format);
+ chisq->omit_empty = true;
+
+ pivot_dimension_create (
+ chisq, PIVOT_AXIS_ROW, N_("Statistics"),
+ N_("Pearson Chi-Square"),
+ N_("Likelihood Ratio"),
+ N_("Fisher's Exact Test"),
+ N_("Continuity Correction"),
+ N_("Linear-by-Linear Association"),
+ N_("N of Valid Cases"), PIVOT_RC_COUNT);
+
+ pivot_dimension_create (
+ chisq, PIVOT_AXIS_COLUMN, N_("Statistics"),
+ N_("Value"), PIVOT_RC_OTHER,
+ N_("df"), PIVOT_RC_COUNT,
+ N_("Asymptotic Sig. (2-tailed)"), PIVOT_RC_SIGNIFICANCE,
+ N_("Exact Sig. (2-tailed)"), PIVOT_RC_SIGNIFICANCE,
+ N_("Exact Sig. (1-tailed)"), PIVOT_RC_SIGNIFICANCE);
+
+ for (size_t i = 2; i < xt->n_vars; i++)
+ add_var_dimension (chisq, &xt->vars[i], PIVOT_AXIS_ROW, false);
return chisq;
}
/* Symmetric measures. */
-static struct tab_table *
-create_sym_table (struct crosstabs_proc *proc, struct crosstabulation *xt)
+static struct pivot_table *
+create_sym_table (struct crosstabulation *xt)
{
- struct tab_table *sym;
-
- sym = tab_create (6 + (xt->n_vars - 2),
- xt->n_entries / xt->n_cols * 7 + 10);
-
- tab_set_format (sym, RC_WEIGHT, &proc->weight_format);
-
- tab_headers (sym, 2 + (xt->n_vars - 2), 0, 1, 0);
- tab_title (sym, _("Symmetric measures."));
-
- tab_offset (sym, xt->n_vars - 2, 0);
- tab_text (sym, 0, 0, TAB_LEFT | TAT_TITLE, _("Category"));
- tab_text (sym, 1, 0, TAB_LEFT | TAT_TITLE, _("Statistic"));
- tab_text (sym, 2, 0, TAB_RIGHT | TAT_TITLE, _("Value"));
- tab_text (sym, 3, 0, TAB_RIGHT | TAT_TITLE, _("Asymp. Std. Error"));
- tab_text (sym, 4, 0, TAB_RIGHT | TAT_TITLE, _("Approx. T"));
- tab_text (sym, 5, 0, TAB_RIGHT | TAT_TITLE, _("Approx. Sig."));
- tab_offset (sym, 0, 1);
+ struct pivot_table *sym = pivot_table_create (N_("Symmetric Measures"));
+ pivot_table_set_weight_format (sym, &xt->weight_format);
+ sym->omit_empty = true;
+
+ pivot_dimension_create (
+ sym, PIVOT_AXIS_COLUMN, N_("Values"),
+ N_("Value"), PIVOT_RC_OTHER,
+ N_("Asymp. Std. Error"), PIVOT_RC_OTHER,
+ N_("Approx. T"), PIVOT_RC_OTHER,
+ N_("Approx. Sig."), PIVOT_RC_SIGNIFICANCE);
+
+ struct pivot_dimension *statistics = pivot_dimension_create (
+ sym, PIVOT_AXIS_ROW, N_("Statistics"));
+ pivot_category_create_group (
+ statistics->root, N_("Nominal by Nominal"),
+ N_("Phi"), N_("Cramer's V"), N_("Contingency Coefficient"));
+ pivot_category_create_group (
+ statistics->root, N_("Ordinal by Ordinal"),
+ N_("Kendall's tau-b"), N_("Kendall's tau-c"),
+ N_("Gamma"), N_("Spearman Correlation"));
+ pivot_category_create_group (
+ statistics->root, N_("Interval by Interval"),
+ N_("Pearson's R"));
+ pivot_category_create_group (
+ statistics->root, N_("Measure of Agreement"),
+ N_("Kappa"));
+ pivot_category_create_leaves (statistics->root, N_("N of Valid Cases"),
+ PIVOT_RC_COUNT);
+
+ for (size_t i = 2; i < xt->n_vars; i++)
+ add_var_dimension (sym, &xt->vars[i], PIVOT_AXIS_ROW, false);
return sym;
}
/* Risk estimate. */
-static struct tab_table *
-create_risk_table (struct crosstabs_proc *proc, struct crosstabulation *xt)
+static struct pivot_table *
+create_risk_table (struct crosstabulation *xt,
+ struct pivot_dimension **risk_statistics)
{
- struct tab_table *risk;
-
- risk = tab_create (4 + (xt->n_vars - 2), xt->n_entries / xt->n_cols * 4 + 10);
- tab_headers (risk, 1 + xt->n_vars - 2, 0, 2, 0);
- tab_title (risk, _("Risk estimate."));
- tab_set_format (risk, RC_WEIGHT, &proc->weight_format);
-
- tab_offset (risk, xt->n_vars - 2, 0);
- tab_joint_text_format (risk, 2, 0, 3, 0, TAB_CENTER | TAT_TITLE,
- _("95%% Confidence Interval"));
- tab_text (risk, 0, 1, TAB_LEFT | TAT_TITLE, _("Statistic"));
- tab_text (risk, 1, 1, TAB_RIGHT | TAT_TITLE, _("Value"));
- tab_text (risk, 2, 1, TAB_RIGHT | TAT_TITLE, _("Lower"));
- tab_text (risk, 3, 1, TAB_RIGHT | TAT_TITLE, _("Upper"));
- tab_hline (risk, TAL_1, 2, 3, 1);
- tab_vline (risk, TAL_1, 2, 0, 1);
- tab_offset (risk, 0, 2);
+ struct pivot_table *risk = pivot_table_create (N_("Risk Estimate"));
+ pivot_table_set_weight_format (risk, &xt->weight_format);
+ risk->omit_empty = true;
+
+ struct pivot_dimension *values = pivot_dimension_create (
+ risk, PIVOT_AXIS_COLUMN, N_("Values"),
+ N_("Value"), PIVOT_RC_OTHER);
+ pivot_category_create_group (
+ values->root, N_("95% Confidence Interval"),
+ N_("Lower"), PIVOT_RC_OTHER,
+ N_("Upper"), PIVOT_RC_OTHER);
+
+ *risk_statistics = pivot_dimension_create (
+ risk, PIVOT_AXIS_ROW, N_("Statistics"));
+
+ for (size_t i = 2; i < xt->n_vars; i++)
+ add_var_dimension (risk, &xt->vars[i], PIVOT_AXIS_ROW, false);
return risk;
}
+static void
+create_direct_stat (struct pivot_category *parent,
+ const struct crosstabulation *xt,
+ const char *name, bool symmetric)
+{
+ struct pivot_category *group = pivot_category_create_group (
+ parent, name);
+ if (symmetric)
+ pivot_category_create_leaf (group, pivot_value_new_text (N_("Symmetric")));
+
+ char *row_label = xasprintf (_("%s Dependent"),
+ var_to_string (xt->vars[ROW_VAR].var));
+ pivot_category_create_leaf (group, pivot_value_new_user_text_nocopy (
+ row_label));
+
+ char *col_label = xasprintf (_("%s Dependent"),
+ var_to_string (xt->vars[COL_VAR].var));
+ pivot_category_create_leaf (group, pivot_value_new_user_text_nocopy (
+ col_label));
+}
+
/* Directional measures. */
-static struct tab_table *
-create_direct_table (struct crosstabs_proc *proc, struct crosstabulation *xt)
+static struct pivot_table *
+create_direct_table (struct crosstabulation *xt)
{
- struct tab_table *direct;
-
- direct = tab_create (7 + (xt->n_vars - 2),
- xt->n_entries / xt->n_cols * 7 + 10);
- tab_headers (direct, 3 + (xt->n_vars - 2), 0, 1, 0);
- tab_title (direct, _("Directional measures."));
- tab_set_format (direct, RC_WEIGHT, &proc->weight_format);
-
- tab_offset (direct, xt->n_vars - 2, 0);
- tab_text (direct, 0, 0, TAB_LEFT | TAT_TITLE, _("Category"));
- tab_text (direct, 1, 0, TAB_LEFT | TAT_TITLE, _("Statistic"));
- tab_text (direct, 2, 0, TAB_LEFT | TAT_TITLE, _("Type"));
- tab_text (direct, 3, 0, TAB_RIGHT | TAT_TITLE, _("Value"));
- tab_text (direct, 4, 0, TAB_RIGHT | TAT_TITLE, _("Asymp. Std. Error"));
- tab_text (direct, 5, 0, TAB_RIGHT | TAT_TITLE, _("Approx. T"));
- tab_text (direct, 6, 0, TAB_RIGHT | TAT_TITLE, _("Approx. Sig."));
- tab_offset (direct, 0, 1);
+ struct pivot_table *direct = pivot_table_create (N_("Directional Measures"));
+ pivot_table_set_weight_format (direct, &xt->weight_format);
+ direct->omit_empty = true;
+
+ pivot_dimension_create (
+ direct, PIVOT_AXIS_COLUMN, N_("Values"),
+ N_("Value"), PIVOT_RC_OTHER,
+ N_("Asymp. Std. Error"), PIVOT_RC_OTHER,
+ N_("Approx. T"), PIVOT_RC_OTHER,
+ N_("Approx Sig."), PIVOT_RC_SIGNIFICANCE);
+
+ struct pivot_dimension *statistics = pivot_dimension_create (
+ direct, PIVOT_AXIS_ROW, N_("Statistics"));
+ struct pivot_category *nn = pivot_category_create_group (
+ statistics->root, N_("Nominal by Nominal"));
+ create_direct_stat (nn, xt, N_("Lambda"), true);
+ create_direct_stat (nn, xt, N_("Goodman and Kruskal tau"), false);
+ create_direct_stat (nn, xt, N_("Uncertainty Coefficient"), true);
+ struct pivot_category *oo = pivot_category_create_group (
+ statistics->root, N_("Ordinal by Ordinal"));
+ create_direct_stat (oo, xt, N_("Somers' d"), true);
+ struct pivot_category *ni = pivot_category_create_group (
+ statistics->root, N_("Nominal by Interval"));
+ create_direct_stat (ni, xt, N_("Eta"), false);
+
+ for (size_t i = 2; i < xt->n_vars; i++)
+ add_var_dimension (direct, &xt->vars[i], PIVOT_AXIS_ROW, false);
return direct;
}
-
/* Delete missing rows and columns for statistical analysis when
/MISSING=REPORT. */
static void
delete_missing (struct crosstabulation *xt)
{
+ size_t n_rows = xt->vars[ROW_VAR].n_values;
+ size_t n_cols = xt->vars[COL_VAR].n_values;
int r, c;
- for (r = 0; r < xt->n_rows; r++)
- if (var_is_num_missing (xt->vars[ROW_VAR], xt->rows[r].f, MV_USER))
+ for (r = 0; r < n_rows; r++)
+ if (var_is_num_missing (xt->vars[ROW_VAR].var,
+ xt->vars[ROW_VAR].values[r].f, MV_USER))
{
- for (c = 0; c < xt->n_cols; c++)
- xt->mat[c + r * xt->n_cols] = 0.;
+ for (c = 0; c < n_cols; c++)
+ xt->mat[c + r * n_cols] = 0.;
xt->ns_rows--;
}
- for (c = 0; c < xt->n_cols; c++)
- if (var_is_num_missing (xt->vars[COL_VAR], xt->cols[c].f, MV_USER))
+ for (c = 0; c < n_cols; c++)
+ if (var_is_num_missing (xt->vars[COL_VAR].var,
+ xt->vars[COL_VAR].values[c].f, MV_USER))
{
- for (r = 0; r < xt->n_rows; r++)
- xt->mat[c + r * xt->n_cols] = 0.;
+ for (r = 0; r < n_rows; r++)
+ xt->mat[c + r * n_cols] = 0.;
xt->ns_cols--;
}
}
-/* Prepare table T for submission, and submit it. */
-static void
-submit (struct crosstabulation *xt, struct tab_table *t)
-{
- int i;
-
- if (t == NULL)
- return;
-
- tab_resize (t, -1, 0);
- if (tab_nr (t) == tab_t (t))
- {
- table_unref (&t->table);
- return;
- }
- tab_offset (t, 0, 0);
- if (xt != NULL)
- for (i = 2; i < xt->n_vars; i++)
- tab_text (t, xt->n_vars - i - 1, 0, TAB_RIGHT | TAT_TITLE,
- var_to_string (xt->vars[i]));
- tab_box (t, TAL_2, TAL_2, -1, -1, 0, 0, tab_nc (t) - 1, tab_nr (t) - 1);
- tab_box (t, -1, -1, -1, TAL_1, tab_l (t), tab_t (t) - 1, tab_nc (t) - 1,
- tab_nr (t) - 1);
- tab_vline (t, TAL_2, tab_l (t), 0, tab_nr (t) - 1);
-
- tab_submit (t);
-}
-
static bool
find_crosstab (struct crosstabulation *xt, size_t *row0p, size_t *row1p)
{
/* Given an array of ENTRY_CNT table_entry structures starting at
ENTRIES, creates a sorted list of the values that the variable
- with index VAR_IDX takes on. The values are returned as a
- malloc()'d array stored in *VALUES, with the number of values
- stored in *VALUE_CNT.
-
- The caller must eventually free *VALUES, but each pointer in *VALUES points
- to existing data not owned by *VALUES itself. */
+ with index VAR_IDX takes on. Stores the array of the values in
+ XT->values and the number of values in XT->n_values. */
static void
enum_var_values (const struct crosstabulation *xt, int var_idx,
- union value **valuesp, int *n_values, bool descending)
+ bool descending)
{
- const struct variable *var = xt->vars[var_idx];
- const struct var_range *range = get_var_range (xt->proc, var);
- union value *values;
- size_t i;
+ struct xtab_var *xv = &xt->vars[var_idx];
+ const struct var_range *range = get_var_range (xt->proc, xv->var);
if (range)
{
- values = *valuesp = xnmalloc (range->count, sizeof *values);
- *n_values = range->count;
- for (i = 0; i < range->count; i++)
- values[i].f = range->min + i;
+ xv->values = xnmalloc (range->count, sizeof *xv->values);
+ xv->n_values = range->count;
+ for (size_t i = 0; i < range->count; i++)
+ xv->values[i].f = range->min + i;
}
else
{
- int width = var_get_width (var);
+ int width = var_get_width (xv->var);
struct hmapx_node *node;
const union value *iter;
struct hmapx set;
hmapx_init (&set);
- for (i = 0; i < xt->n_entries; i++)
+ for (size_t i = 0; i < xt->n_entries; i++)
{
const struct freq *te = xt->entries[i];
const union value *value = &te->values[var_idx];
next_entry: ;
}
- *n_values = hmapx_count (&set);
- values = *valuesp = xnmalloc (*n_values, sizeof *values);
- i = 0;
+ xv->n_values = hmapx_count (&set);
+ xv->values = xnmalloc (xv->n_values, sizeof *xv->values);
+ size_t i = 0;
HMAPX_FOR_EACH (iter, node, &set)
- values[i++] = *iter;
+ xv->values[i++] = *iter;
hmapx_destroy (&set);
- sort (values, *n_values, sizeof *values,
+ sort (xv->values, xv->n_values, sizeof *xv->values,
descending ? compare_value_3way_inv : compare_value_3way,
&width);
}
}
-/* Sets cell (C,R) in TABLE, with options OPT, to have a value taken
- from V, displayed with print format spec from variable VAR. When
- in REPORT missing-value mode, missing values have an M appended. */
-static void
-table_value_missing (struct crosstabs_proc *proc,
- struct tab_table *table, int c, int r, unsigned char opt,
- const union value *v, const struct variable *var)
-{
- const char *label = var_lookup_value_label (var, v);
- if (label != NULL)
- tab_text (table, c, r, TAB_LEFT, label);
- else
- {
- const struct fmt_spec *print = var_get_print_format (var);
- if (proc->exclude == MV_NEVER && var_is_value_missing (var, v, MV_USER))
- {
- char *s = data_out (v, dict_get_encoding (proc->dict), print);
- tab_text_format (table, c, r, opt, "%sM", s + strspn (s, " "));
- free (s);
- }
- else
- tab_value (table, c, r, opt, v, var, print);
- }
-}
-
-/* Draws a line across TABLE at the current row to indicate the most
- major dimension variable with index FIRST_DIFFERENCE out of N_VARS
- that changed, and puts the values that changed into the table. TB
- and XT must be the corresponding table_entry and crosstab,
- respectively. */
-static void
-display_dimensions (struct crosstabs_proc *proc, struct crosstabulation *xt,
- struct tab_table *table, int first_difference)
-{
- tab_hline (table, TAL_1, xt->n_consts + xt->n_vars - first_difference - 1, tab_nc (table) - 1, 0);
-
- for (; first_difference >= 2; first_difference--)
- table_value_missing (proc, table, xt->n_consts + xt->n_vars - first_difference - 1, 0,
- TAB_RIGHT, &xt->entries[0]->values[first_difference],
- xt->vars[first_difference]);
-}
-
-/* Put VALUE into cell (C,R) of TABLE, suffixed with character
- SUFFIX if nonzero. If MARK_MISSING is true the entry is
- additionally suffixed with a letter `M'. */
static void
-format_cell_entry (struct tab_table *table, int c, int r, double value,
- char suffix, bool mark_missing, const struct dictionary *dict)
+free_var_values (const struct crosstabulation *xt, int var_idx)
{
- union value v;
- char suffixes[3];
- int suffix_len;
- char *s;
-
- v.f = value;
- s = data_out (&v, dict_get_encoding (dict), settings_get_format ());
-
- suffix_len = 0;
- if (suffix != 0)
- suffixes[suffix_len++] = suffix;
- if (mark_missing)
- suffixes[suffix_len++] = 'M';
- suffixes[suffix_len] = '\0';
-
- tab_text_format (table, c, r, TAB_RIGHT, "%s%s",
- s + strspn (s, " "), suffixes);
-
- free (s);
+ struct xtab_var *xv = &xt->vars[var_idx];
+ free (xv->values);
+ xv->values = NULL;
+ xv->n_values = 0;
}
/* Displays the crosstabulation table. */
static void
display_crosstabulation (struct crosstabs_proc *proc,
- struct crosstabulation *xt, struct tab_table *table)
+ struct crosstabulation *xt, struct pivot_table *table,
+ size_t crs_leaves[CRS_CL_count])
{
- int last_row;
- int r, c, i;
- double *mp;
+ size_t n_rows = xt->vars[ROW_VAR].n_values;
+ size_t n_cols = xt->vars[COL_VAR].n_values;
- for (r = 0; r < xt->n_rows; r++)
- table_value_missing (proc, table, xt->n_consts + xt->n_vars - 2,
- r * proc->n_cells, TAB_RIGHT, &xt->rows[r],
- xt->vars[ROW_VAR]);
-
- tab_text (table, xt->n_vars - 2, xt->n_rows * proc->n_cells,
- TAB_LEFT, _("Total"));
+ size_t *indexes = xnmalloc (table->n_dimensions, sizeof *indexes);
+ assert (xt->n_vars == 2);
+ for (size_t i = 0; i < xt->n_consts; i++)
+ indexes[i + 3] = xt->const_indexes[i];
/* Put in the actual cells. */
- mp = xt->mat;
- tab_offset (table, xt->n_consts + xt->n_vars - 1, -1);
- for (r = 0; r < xt->n_rows; r++)
+ double *mp = xt->mat;
+ for (size_t r = 0; r < n_rows; r++)
{
- if (proc->n_cells > 1)
- tab_hline (table, TAL_1, -1, xt->n_cols, 0);
- for (c = 0; c < xt->n_cols; c++)
+ if (!xt->row_tot[r] && proc->mode != INTEGER)
+ continue;
+
+ indexes[ROW_VAR + 1] = r;
+ for (size_t c = 0; c < n_cols; c++)
{
- bool mark_missing = false;
+ if (!xt->col_tot[c] && proc->mode != INTEGER)
+ continue;
+
+ indexes[COL_VAR + 1] = c;
+
double expected_value = xt->row_tot[r] * xt->col_tot[c] / xt->total;
- if (proc->exclude == MV_NEVER
- && (var_is_num_missing (xt->vars[COL_VAR], xt->cols[c].f, MV_USER)
- || var_is_num_missing (xt->vars[ROW_VAR], xt->rows[r].f,
- MV_USER)))
- mark_missing = true;
- for (i = 0; i < proc->n_cells; i++)
- {
- double v;
- int suffix = 0;
-
- switch (proc->a_cells[i])
- {
- case CRS_CL_COUNT:
- v = *mp;
- break;
- case CRS_CL_ROW:
- v = *mp / xt->row_tot[r] * 100.;
- suffix = '%';
- break;
- case CRS_CL_COLUMN:
- v = *mp / xt->col_tot[c] * 100.;
- suffix = '%';
- break;
- case CRS_CL_TOTAL:
- v = *mp / xt->total * 100.;
- suffix = '%';
- break;
- case CRS_CL_EXPECTED:
- v = expected_value;
- break;
- case CRS_CL_RESIDUAL:
- v = *mp - expected_value;
- break;
- case CRS_CL_SRESIDUAL:
- v = (*mp - expected_value) / sqrt (expected_value);
- break;
- case CRS_CL_ASRESIDUAL:
- v = ((*mp - expected_value)
- / sqrt (expected_value
+ double residual = *mp - expected_value;
+ double sresidual = residual / sqrt (expected_value);
+ double asresidual = (sresidual
* (1. - xt->row_tot[r] / xt->total)
- * (1. - xt->col_tot[c] / xt->total)));
- break;
- default:
- NOT_REACHED ();
- }
- format_cell_entry (table, c, i, v, suffix, mark_missing, proc->dict);
+ * (1. - xt->col_tot[c] / xt->total));
+ double entries[] = {
+ [CRS_CL_COUNT] = *mp,
+ [CRS_CL_ROW] = *mp / xt->row_tot[r] * 100.,
+ [CRS_CL_COLUMN] = *mp / xt->col_tot[c] * 100.,
+ [CRS_CL_TOTAL] = *mp / xt->total * 100.,
+ [CRS_CL_EXPECTED] = expected_value,
+ [CRS_CL_RESIDUAL] = residual,
+ [CRS_CL_SRESIDUAL] = sresidual,
+ [CRS_CL_ASRESIDUAL] = asresidual,
+ };
+ for (size_t i = 0; i < proc->n_cells; i++)
+ {
+ int cell = proc->a_cells[i];
+ indexes[0] = crs_leaves[cell];
+ pivot_table_put (table, indexes, table->n_dimensions,
+ pivot_value_new_number (entries[cell]));
}
mp++;
}
-
- tab_offset (table, -1, tab_row (table) + proc->n_cells);
}
/* Row totals. */
- tab_offset (table, -1, tab_row (table) - proc->n_cells * xt->n_rows);
- for (r = 0; r < xt->n_rows; r++)
- {
- bool mark_missing = false;
-
- if (proc->exclude == MV_NEVER
- && var_is_num_missing (xt->vars[ROW_VAR], xt->rows[r].f, MV_USER))
- mark_missing = true;
-
- for (i = 0; i < proc->n_cells; i++)
+ for (size_t r = 0; r < n_rows; r++)
+ {
+ if (!xt->row_tot[r] && proc->mode != INTEGER)
+ continue;
+
+ double expected_value = xt->row_tot[r] / xt->total;
+ double entries[] = {
+ [CRS_CL_COUNT] = xt->row_tot[r],
+ [CRS_CL_ROW] = 100.0,
+ [CRS_CL_COLUMN] = expected_value * 100.,
+ [CRS_CL_TOTAL] = expected_value * 100.,
+ [CRS_CL_EXPECTED] = expected_value,
+ [CRS_CL_RESIDUAL] = SYSMIS,
+ [CRS_CL_SRESIDUAL] = SYSMIS,
+ [CRS_CL_ASRESIDUAL] = SYSMIS,
+ };
+ for (size_t i = 0; i < proc->n_cells; i++)
{
- char suffix = 0;
- double v;
-
- switch (proc->a_cells[i])
+ int cell = proc->a_cells[i];
+ double entry = entries[cell];
+ if (entry != SYSMIS)
{
- case CRS_CL_COUNT:
- v = xt->row_tot[r];
- break;
- case CRS_CL_ROW:
- v = 100.0;
- suffix = '%';
- break;
- case CRS_CL_COLUMN:
- v = xt->row_tot[r] / xt->total * 100.;
- suffix = '%';
- break;
- case CRS_CL_TOTAL:
- v = xt->row_tot[r] / xt->total * 100.;
- suffix = '%';
- break;
- case CRS_CL_EXPECTED:
- case CRS_CL_RESIDUAL:
- case CRS_CL_SRESIDUAL:
- case CRS_CL_ASRESIDUAL:
- v = 0.;
- break;
- default:
- NOT_REACHED ();
+ indexes[ROW_VAR + 1] = r;
+ indexes[COL_VAR + 1] = n_cols;
+ indexes[0] = crs_leaves[cell];
+ pivot_table_put (table, indexes, table->n_dimensions,
+ pivot_value_new_number (entry));
}
-
- format_cell_entry (table, xt->n_cols, 0, v, suffix, mark_missing, proc->dict);
- tab_next_row (table);
}
}
- /* Column totals, grand total. */
- last_row = 0;
- if (proc->n_cells > 1)
- tab_hline (table, TAL_1, -1, xt->n_cols, 0);
- for (c = 0; c <= xt->n_cols; c++)
- {
- double ct = c < xt->n_cols ? xt->col_tot[c] : xt->total;
- bool mark_missing = false;
- int i;
-
- if (proc->exclude == MV_NEVER && c < xt->n_cols
- && var_is_num_missing (xt->vars[COL_VAR], xt->cols[c].f, MV_USER))
- mark_missing = true;
-
- for (i = 0; i < proc->n_cells; i++)
+ for (size_t c = 0; c <= n_cols; c++)
+ {
+ if (c < n_cols && !xt->col_tot[c] && proc->mode != INTEGER)
+ continue;
+
+ double ct = c < n_cols ? xt->col_tot[c] : xt->total;
+ double expected_value = ct / xt->total;
+ double entries[] = {
+ [CRS_CL_COUNT] = ct,
+ [CRS_CL_ROW] = expected_value * 100.0,
+ [CRS_CL_COLUMN] = 100.0,
+ [CRS_CL_TOTAL] = expected_value * 100.,
+ [CRS_CL_EXPECTED] = expected_value,
+ [CRS_CL_RESIDUAL] = SYSMIS,
+ [CRS_CL_SRESIDUAL] = SYSMIS,
+ [CRS_CL_ASRESIDUAL] = SYSMIS,
+ };
+ for (size_t i = 0; i < proc->n_cells; i++)
{
- char suffix = 0;
- double v;
-
- switch (proc->a_cells[i])
+ int cell = proc->a_cells[i];
+ double entry = entries[cell];
+ if (entry != SYSMIS)
{
- case CRS_CL_COUNT:
- v = ct;
- break;
- case CRS_CL_ROW:
- v = ct / xt->total * 100.;
- suffix = '%';
- break;
- case CRS_CL_COLUMN:
- v = 100.;
- suffix = '%';
- break;
- case CRS_CL_TOTAL:
- v = ct / xt->total * 100.;
- suffix = '%';
- break;
- case CRS_CL_EXPECTED:
- case CRS_CL_RESIDUAL:
- case CRS_CL_SRESIDUAL:
- case CRS_CL_ASRESIDUAL:
- continue;
- default:
- NOT_REACHED ();
+ indexes[ROW_VAR + 1] = n_rows;
+ indexes[COL_VAR + 1] = c;
+ indexes[0] = crs_leaves[cell];
+ pivot_table_put (table, indexes, table->n_dimensions,
+ pivot_value_new_number (entry));
}
-
- format_cell_entry (table, c, i, v, suffix, mark_missing, proc->dict);
}
- last_row = i;
}
- tab_offset (table, -1, tab_row (table) + last_row);
- tab_offset (table, 0, -1);
+ free (indexes);
}
static void calc_r (struct crosstabulation *,
/* Display chi-square statistics. */
static void
-display_chisq (struct crosstabulation *xt, struct tab_table *chisq,
- bool *showed_fisher)
+display_chisq (struct crosstabulation *xt, struct pivot_table *chisq)
{
- static const char *chisq_stats[N_CHISQ] =
- {
- N_("Pearson Chi-Square"),
- N_("Likelihood Ratio"),
- N_("Fisher's Exact Test"),
- N_("Continuity Correction"),
- N_("Linear-by-Linear Association"),
- };
double chisq_v[N_CHISQ];
double fisher1, fisher2;
int df[N_CHISQ];
-
- int i;
-
calc_chisq (xt, chisq_v, df, &fisher1, &fisher2);
- tab_offset (chisq, xt->n_consts + xt->n_vars - 2, -1);
-
- for (i = 0; i < N_CHISQ; i++)
+ size_t *indexes = xnmalloc (chisq->n_dimensions, sizeof *indexes);
+ assert (xt->n_vars == 2);
+ for (size_t i = 0; i < xt->n_consts; i++)
+ indexes[i + 2] = xt->const_indexes[i];
+ for (int i = 0; i < N_CHISQ; i++)
{
- if ((i != 2 && chisq_v[i] == SYSMIS)
- || (i == 2 && fisher1 == SYSMIS))
- continue;
+ indexes[0] = i;
- tab_text (chisq, 0, 0, TAB_LEFT, gettext (chisq_stats[i]));
- if (i != 2)
- {
- tab_double (chisq, 1, 0, TAB_RIGHT, chisq_v[i], NULL, RC_OTHER);
- tab_double (chisq, 2, 0, TAB_RIGHT, df[i], NULL, RC_WEIGHT);
- tab_double (chisq, 3, 0, TAB_RIGHT,
- gsl_cdf_chisq_Q (chisq_v[i], df[i]), NULL, RC_PVALUE);
- }
- else
- {
- *showed_fisher = true;
- tab_double (chisq, 4, 0, TAB_RIGHT, fisher2, NULL, RC_PVALUE);
- tab_double (chisq, 5, 0, TAB_RIGHT, fisher1, NULL, RC_PVALUE);
- }
- tab_next_row (chisq);
+ double entries[5] = { SYSMIS, SYSMIS, SYSMIS, SYSMIS, SYSMIS };
+ if (i == 2)
+ {
+ entries[3] = fisher2;
+ entries[4] = fisher1;
+ }
+ else if (chisq_v[i] != SYSMIS)
+ {
+ entries[0] = chisq_v[i];
+ entries[1] = df[i];
+ entries[2] = gsl_cdf_chisq_Q (chisq_v[i], df[i]);
+ }
+
+ for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
+ if (entries[j] != SYSMIS)
+ {
+ indexes[1] = j;
+ pivot_table_put (chisq, indexes, chisq->n_dimensions,
+ pivot_value_new_number (entries[j]));
+ }
}
- tab_text (chisq, 0, 0, TAB_LEFT, _("N of Valid Cases"));
- tab_double (chisq, 1, 0, TAB_RIGHT, xt->total, NULL, RC_WEIGHT);
- tab_next_row (chisq);
+ indexes[0] = 5;
+ indexes[1] = 0;
+ pivot_table_put (chisq, indexes, chisq->n_dimensions,
+ pivot_value_new_number (xt->total));
- tab_offset (chisq, 0, -1);
+ free (indexes);
}
static int calc_symmetric (struct crosstabs_proc *, struct crosstabulation *,
/* Display symmetric measures. */
static void
display_symmetric (struct crosstabs_proc *proc, struct crosstabulation *xt,
- struct tab_table *sym)
+ struct pivot_table *sym)
{
- static const char *categories[] =
- {
- N_("Nominal by Nominal"),
- N_("Ordinal by Ordinal"),
- N_("Interval by Interval"),
- N_("Measure of Agreement"),
- };
-
- static const char *stats[N_SYMMETRIC] =
- {
- N_("Phi"),
- N_("Cramer's V"),
- N_("Contingency Coefficient"),
- N_("Kendall's tau-b"),
- N_("Kendall's tau-c"),
- N_("Gamma"),
- N_("Spearman Correlation"),
- N_("Pearson's R"),
- N_("Kappa"),
- };
-
- static const int stats_categories[N_SYMMETRIC] =
- {
- 0, 0, 0, 1, 1, 1, 1, 2, 3,
- };
-
- int last_cat = -1;
double sym_v[N_SYMMETRIC], sym_ase[N_SYMMETRIC], sym_t[N_SYMMETRIC];
double somers_d_v[3], somers_d_ase[3], somers_d_t[3];
- int i;
if (!calc_symmetric (proc, xt, sym_v, sym_ase, sym_t,
somers_d_v, somers_d_ase, somers_d_t))
return;
- tab_offset (sym, xt->n_consts + xt->n_vars - 2, -1);
+ size_t *indexes = xnmalloc (sym->n_dimensions, sizeof *indexes);
+ assert (xt->n_vars == 2);
+ for (size_t i = 0; i < xt->n_consts; i++)
+ indexes[i + 2] = xt->const_indexes[i];
- for (i = 0; i < N_SYMMETRIC; i++)
+ for (int i = 0; i < N_SYMMETRIC; i++)
{
if (sym_v[i] == SYSMIS)
continue;
- if (stats_categories[i] != last_cat)
- {
- last_cat = stats_categories[i];
- tab_text (sym, 0, 0, TAB_LEFT, gettext (categories[last_cat]));
- }
+ indexes[1] = i;
- tab_text (sym, 1, 0, TAB_LEFT, gettext (stats[i]));
- tab_double (sym, 2, 0, TAB_RIGHT, sym_v[i], NULL, RC_OTHER);
- if (sym_ase[i] != SYSMIS)
- tab_double (sym, 3, 0, TAB_RIGHT, sym_ase[i], NULL, RC_OTHER);
- if (sym_t[i] != SYSMIS)
- tab_double (sym, 4, 0, TAB_RIGHT, sym_t[i], NULL, RC_OTHER);
- /*tab_double (sym, 5, 0, TAB_RIGHT, normal_sig (sym_v[i]), NULL, RC_PVALUE);*/
- tab_next_row (sym);
+ double entries[] = { sym_v[i], sym_ase[i], sym_t[i] };
+ for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
+ if (entries[j] != SYSMIS)
+ {
+ indexes[0] = j;
+ pivot_table_put (sym, indexes, sym->n_dimensions,
+ pivot_value_new_number (entries[j]));
+ }
}
- tab_text (sym, 0, 0, TAB_LEFT, _("N of Valid Cases"));
- tab_double (sym, 2, 0, TAB_RIGHT, xt->total, NULL, RC_WEIGHT);
- tab_next_row (sym);
+ indexes[1] = N_SYMMETRIC;
+ indexes[0] = 0;
+ struct pivot_value *total = pivot_value_new_number (xt->total);
+ pivot_value_set_rc (sym, total, PIVOT_RC_COUNT);
+ pivot_table_put (sym, indexes, sym->n_dimensions, total);
- tab_offset (sym, 0, -1);
+ free (indexes);
}
-static int calc_risk (struct crosstabulation *,
- double[], double[], double[], union value *);
+static bool calc_risk (struct crosstabulation *,
+ double[], double[], double[], union value *,
+ double *);
/* Display risk estimate. */
static void
-display_risk (struct crosstabulation *xt, struct tab_table *risk)
+display_risk (struct crosstabulation *xt, struct pivot_table *risk,
+ struct pivot_dimension *risk_statistics)
{
- char buf[256];
- double risk_v[3], lower[3], upper[3];
+ double risk_v[3], lower[3], upper[3], n_valid;
union value c[2];
- int i;
-
- if (!calc_risk (xt, risk_v, upper, lower, c))
+ if (!calc_risk (xt, risk_v, upper, lower, c, &n_valid))
return;
- tab_offset (risk, xt->n_consts + xt->n_vars - 2, -1);
+ size_t *indexes = xnmalloc (risk->n_dimensions, sizeof *indexes);
+ assert (xt->n_vars == 2);
+ for (size_t i = 0; i < xt->n_consts; i++)
+ indexes[i + 2] = xt->const_indexes[i];
- for (i = 0; i < 3; i++)
+ for (int i = 0; i < 3; i++)
{
- const struct variable *cv = xt->vars[COL_VAR];
- const struct variable *rv = xt->vars[ROW_VAR];
- int cvw = var_get_width (cv);
- int rvw = var_get_width (rv);
+ const struct variable *cv = xt->vars[COL_VAR].var;
+ const struct variable *rv = xt->vars[ROW_VAR].var;
if (risk_v[i] == SYSMIS)
continue;
+ struct string label = DS_EMPTY_INITIALIZER;
switch (i)
{
case 0:
- if (var_is_numeric (cv))
- sprintf (buf, _("Odds Ratio for %s (%g / %g)"),
- var_to_string (cv), c[0].f, c[1].f);
- else
- sprintf (buf, _("Odds Ratio for %s (%.*s / %.*s)"),
- var_to_string (cv),
- cvw, value_str (&c[0], cvw),
- cvw, value_str (&c[1], cvw));
+ ds_put_format (&label, _("Odds Ratio for %s"), var_to_string (rv));
+ ds_put_cstr (&label, " (");
+ var_append_value_name (rv, &c[0], &label);
+ ds_put_cstr (&label, " / ");
+ var_append_value_name (rv, &c[1], &label);
+ ds_put_cstr (&label, ")");
break;
case 1:
case 2:
- if (var_is_numeric (rv))
- sprintf (buf, _("For cohort %s = %.*g"),
- var_to_string (rv), DBL_DIG + 1, xt->rows[i - 1].f);
- else
- sprintf (buf, _("For cohort %s = %.*s"),
- var_to_string (rv),
- rvw, value_str (&xt->rows[i - 1], rvw));
+ ds_put_format (&label, _("For cohort %s = "), var_to_string (cv));
+ var_append_value_name (cv, &xt->vars[ROW_VAR].values[i - 1], &label);
break;
}
- tab_text (risk, 0, 0, TAB_LEFT, buf);
- tab_double (risk, 1, 0, TAB_RIGHT, risk_v[i], NULL, RC_OTHER);
- tab_double (risk, 2, 0, TAB_RIGHT, lower[i], NULL, RC_OTHER);
- tab_double (risk, 3, 0, TAB_RIGHT, upper[i], NULL, RC_OTHER);
- tab_next_row (risk);
- }
-
- tab_text (risk, 0, 0, TAB_LEFT, _("N of Valid Cases"));
- tab_double (risk, 1, 0, TAB_RIGHT, xt->total, NULL, RC_WEIGHT);
- tab_next_row (risk);
+ indexes[1] = pivot_category_create_leaf (
+ risk_statistics->root,
+ pivot_value_new_user_text_nocopy (ds_steal_cstr (&label)));
- tab_offset (risk, 0, -1);
+ double entries[] = { risk_v[i], lower[i], upper[i] };
+ for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
+ {
+ indexes[0] = j;
+ pivot_table_put (risk, indexes, risk->n_dimensions,
+ pivot_value_new_number (entries[i]));
+ }
+ }
+ indexes[1] = pivot_category_create_leaf (
+ risk_statistics->root,
+ pivot_value_new_text (N_("N of Valid Cases")));
+ indexes[0] = 0;
+ pivot_table_put (risk, indexes, risk->n_dimensions,
+ pivot_value_new_number (n_valid));
+ free (indexes);
}
static int calc_directional (struct crosstabs_proc *, struct crosstabulation *,
/* Display directional measures. */
static void
-display_directional (struct crosstabs_proc *proc, struct crosstabulation *xt,
- struct tab_table *direct)
+display_directional (struct crosstabs_proc *proc,
+ struct crosstabulation *xt, struct pivot_table *direct)
{
- static const char *categories[] =
- {
- N_("Nominal by Nominal"),
- N_("Ordinal by Ordinal"),
- N_("Nominal by Interval"),
- };
-
- static const char *stats[] =
- {
- N_("Lambda"),
- N_("Goodman and Kruskal tau"),
- N_("Uncertainty Coefficient"),
- N_("Somers' d"),
- N_("Eta"),
- };
-
- static const char *types[] =
- {
- N_("Symmetric"),
- N_("%s Dependent"),
- N_("%s Dependent"),
- };
-
- static const int stats_categories[N_DIRECTIONAL] =
- {
- 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 2, 2,
- };
-
- static const int stats_stats[N_DIRECTIONAL] =
- {
- 0, 0, 0, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4,
- };
-
- static const int stats_types[N_DIRECTIONAL] =
- {
- 0, 1, 2, 1, 2, 0, 1, 2, 0, 1, 2, 1, 2,
- };
-
- static const int *stats_lookup[] =
- {
- stats_categories,
- stats_stats,
- stats_types,
- };
-
- static const char **stats_names[] =
- {
- categories,
- stats,
- types,
- };
-
- int last[3] =
- {
- -1, -1, -1,
- };
-
double direct_v[N_DIRECTIONAL];
double direct_ase[N_DIRECTIONAL];
double direct_t[N_DIRECTIONAL];
double sig[N_DIRECTIONAL];
-
- int i;
-
if (!calc_directional (proc, xt, direct_v, direct_ase, direct_t, sig))
return;
- tab_offset (direct, xt->n_consts + xt->n_vars - 2, -1);
+ size_t *indexes = xnmalloc (direct->n_dimensions, sizeof *indexes);
+ assert (xt->n_vars == 2);
+ for (size_t i = 0; i < xt->n_consts; i++)
+ indexes[i + 2] = xt->const_indexes[i];
- for (i = 0; i < N_DIRECTIONAL; i++)
+ for (int i = 0; i < N_DIRECTIONAL; i++)
{
if (direct_v[i] == SYSMIS)
continue;
- {
- int j;
-
- for (j = 0; j < 3; j++)
- if (last[j] != stats_lookup[j][i])
- {
- if (j < 2)
- tab_hline (direct, TAL_1, j, 6, 0);
-
- for (; j < 3; j++)
- {
- const char *string;
- int k = last[j] = stats_lookup[j][i];
-
- if (k == 0)
- string = NULL;
- else if (k == 1)
- string = var_to_string (xt->vars[0]);
- else
- string = var_to_string (xt->vars[1]);
-
- tab_text_format (direct, j, 0, TAB_LEFT,
- gettext (stats_names[j][k]), string);
- }
- }
- }
+ indexes[1] = i;
- tab_double (direct, 3, 0, TAB_RIGHT, direct_v[i], NULL, RC_OTHER);
- if (direct_ase[i] != SYSMIS)
- tab_double (direct, 4, 0, TAB_RIGHT, direct_ase[i], NULL, RC_OTHER);
- if (direct_t[i] != SYSMIS)
- tab_double (direct, 5, 0, TAB_RIGHT, direct_t[i], NULL, RC_OTHER);
- tab_double (direct, 6, 0, TAB_RIGHT, sig[i], NULL, RC_PVALUE);
- tab_next_row (direct);
+ double entries[] = {
+ direct_v[i], direct_ase[i], direct_t[i], sig[i],
+ };
+ for (size_t j = 0; j < sizeof entries / sizeof *entries; j++)
+ if (entries[j] != SYSMIS)
+ {
+ indexes[0] = j;
+ pivot_table_put (direct, indexes, direct->n_dimensions,
+ pivot_value_new_number (entries[j]));
+ }
}
- tab_offset (direct, 0, -1);
+ free (indexes);
}
\f
/* Statistical calculations. */
double chisq[N_CHISQ], int df[N_CHISQ],
double *fisher1, double *fisher2)
{
- int r, c;
-
chisq[0] = chisq[1] = 0.;
chisq[2] = chisq[3] = chisq[4] = SYSMIS;
*fisher1 = *fisher2 = SYSMIS;
return;
}
- for (r = 0; r < xt->n_rows; r++)
- for (c = 0; c < xt->n_cols; c++)
+ size_t n_cols = xt->vars[COL_VAR].n_values;
+ FOR_EACH_POPULATED_ROW (r, xt)
+ FOR_EACH_POPULATED_COLUMN (c, xt)
{
- const double expected = xt->row_tot[r] * xt->col_tot[c] / xt->total;
- const double freq = xt->mat[xt->n_cols * r + c];
- const double residual = freq - expected;
+ const double expected = xt->row_tot[r] * xt->col_tot[c] / xt->total;
+ const double freq = xt->mat[n_cols * r + c];
+ const double residual = freq - expected;
chisq[0] += residual * residual / expected;
- if (freq)
- chisq[1] += freq * log (expected / freq);
+ if (freq)
+ chisq[1] += freq * log (expected / freq);
}
if (chisq[0] == 0.)
{
int nz_cols[2];
- int i, j;
-
- for (i = j = 0; i < xt->n_cols; i++)
- if (xt->col_tot[i] != 0.)
- {
- nz_cols[j++] = i;
- if (j == 2)
- break;
- }
+ int j = 0;
+ FOR_EACH_POPULATED_COLUMN (c, xt)
+ {
+ nz_cols[j++] = c;
+ if (j == 2)
+ break;
+ }
assert (j == 2);
f11 = xt->mat[nz_cols[0]];
f12 = xt->mat[nz_cols[1]];
- f21 = xt->mat[nz_cols[0] + xt->n_cols];
- f22 = xt->mat[nz_cols[1] + xt->n_cols];
+ f21 = xt->mat[nz_cols[0] + n_cols];
+ f22 = xt->mat[nz_cols[1] + n_cols];
}
/* Yates. */
}
/* Calculate Mantel-Haenszel. */
- if (var_is_numeric (xt->vars[ROW_VAR]) && var_is_numeric (xt->vars[COL_VAR]))
+ if (var_is_numeric (xt->vars[ROW_VAR].var)
+ && var_is_numeric (xt->vars[COL_VAR].var))
{
double r, ase_0, ase_1;
- calc_r (xt, (double *) xt->rows, (double *) xt->cols, &r, &ase_0, &ase_1);
+ calc_r (xt, (double *) xt->vars[ROW_VAR].values,
+ (double *) xt->vars[COL_VAR].values,
+ &r, &ase_0, &ase_1);
chisq[4] = (xt->total - 1.) * r * r;
df[4] = 1;
calc_r (struct crosstabulation *xt,
double *XT, double *Y, double *r, double *t, double *error)
{
+ size_t n_rows = xt->vars[ROW_VAR].n_values;
+ size_t n_cols = xt->vars[COL_VAR].n_values;
double SX, SY, S, T;
double Xbar, Ybar;
double sum_XYf, sum_X2Y2f;
double sum_Yc, sum_Y2c;
int i, j;
- for (sum_X2Y2f = sum_XYf = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ for (sum_X2Y2f = sum_XYf = 0., i = 0; i < n_rows; i++)
+ for (j = 0; j < n_cols; j++)
{
- double fij = xt->mat[j + i * xt->n_cols];
+ double fij = xt->mat[j + i * n_cols];
double product = XT[i] * Y[j];
double temp = fij * product;
sum_XYf += temp;
sum_X2Y2f += temp * product;
}
- for (sum_Xr = sum_X2r = 0., i = 0; i < xt->n_rows; i++)
+ for (sum_Xr = sum_X2r = 0., i = 0; i < n_rows; i++)
{
sum_Xr += XT[i] * xt->row_tot[i];
sum_X2r += pow2 (XT[i]) * xt->row_tot[i];
}
Xbar = sum_Xr / xt->total;
- for (sum_Yc = sum_Y2c = 0., i = 0; i < xt->n_cols; i++)
+ for (sum_Yc = sum_Y2c = 0., i = 0; i < n_cols; i++)
{
sum_Yc += Y[i] * xt->col_tot[i];
sum_Y2c += Y[i] * Y[i] * xt->col_tot[i];
{
double s, c, y, t;
- for (s = c = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ for (s = c = 0., i = 0; i < n_rows; i++)
+ for (j = 0; j < n_cols; j++)
{
double Xresid, Yresid;
double temp;
temp = (T * Xresid * Yresid
- ((S / (2. * T))
* (Xresid * Xresid * SY + Yresid * Yresid * SX)));
- y = xt->mat[j + i * xt->n_cols] * temp * temp - c;
+ y = xt->mat[j + i * n_cols] * temp * temp - c;
t = s + y;
c = (t - s) - y;
s = t;
double somers_d_v[3], double somers_d_ase[3],
double somers_d_t[3])
{
+ size_t n_rows = xt->vars[ROW_VAR].n_values;
+ size_t n_cols = xt->vars[COL_VAR].n_values;
int q, i;
q = MIN (xt->ns_rows, xt->ns_cols);
if (proc->statistics & ((1u << CRS_ST_PHI) | (1u << CRS_ST_CC)))
{
double Xp = 0.; /* Pearson chi-square. */
- int r, c;
- for (r = 0; r < xt->n_rows; r++)
- for (c = 0; c < xt->n_cols; c++)
+ FOR_EACH_POPULATED_ROW (r, xt)
+ FOR_EACH_POPULATED_COLUMN (c, xt)
{
- const double expected = xt->row_tot[r] * xt->col_tot[c] / xt->total;
- const double freq = xt->mat[xt->n_cols * r + c];
- const double residual = freq - expected;
+ double expected = xt->row_tot[r] * xt->col_tot[c] / xt->total;
+ double freq = xt->mat[n_cols * r + c];
+ double residual = freq - expected;
Xp += residual * residual / expected;
}
int r, c;
Dr = Dc = pow2 (xt->total);
- for (r = 0; r < xt->n_rows; r++)
+ for (r = 0; r < n_rows; r++)
Dr -= pow2 (xt->row_tot[r]);
- for (c = 0; c < xt->n_cols; c++)
+ for (c = 0; c < n_cols; c++)
Dc -= pow2 (xt->col_tot[c]);
- cum = xnmalloc (xt->n_cols * xt->n_rows, sizeof *cum);
- for (c = 0; c < xt->n_cols; c++)
+ cum = xnmalloc (n_cols * n_rows, sizeof *cum);
+ for (c = 0; c < n_cols; c++)
{
double ct = 0.;
- for (r = 0; r < xt->n_rows; r++)
- cum[c + r * xt->n_cols] = ct += xt->mat[c + r * xt->n_cols];
+ for (r = 0; r < n_rows; r++)
+ cum[c + r * n_cols] = ct += xt->mat[c + r * n_cols];
}
/* P and Q. */
double Cij, Dij;
P = Q = 0.;
- for (i = 0; i < xt->n_rows; i++)
+ for (i = 0; i < n_rows; i++)
{
Cij = Dij = 0.;
- for (j = 1; j < xt->n_cols; j++)
- Cij += xt->col_tot[j] - cum[j + i * xt->n_cols];
+ for (j = 1; j < n_cols; j++)
+ Cij += xt->col_tot[j] - cum[j + i * n_cols];
if (i > 0)
- for (j = 1; j < xt->n_cols; j++)
- Dij += cum[j + (i - 1) * xt->n_cols];
+ for (j = 1; j < n_cols; j++)
+ Dij += cum[j + (i - 1) * n_cols];
for (j = 0;;)
{
- double fij = xt->mat[j + i * xt->n_cols];
+ double fij = xt->mat[j + i * n_cols];
P += fij * Cij;
Q += fij * Dij;
- if (++j == xt->n_cols)
+ if (++j == n_cols)
break;
- assert (j < xt->n_cols);
+ assert (j < n_cols);
- Cij -= xt->col_tot[j] - cum[j + i * xt->n_cols];
- Dij += xt->col_tot[j - 1] - cum[j - 1 + i * xt->n_cols];
+ Cij -= xt->col_tot[j] - cum[j + i * n_cols];
+ Dij += xt->col_tot[j - 1] - cum[j - 1 + i * n_cols];
if (i > 0)
{
- Cij += cum[j - 1 + (i - 1) * xt->n_cols];
- Dij -= cum[j + (i - 1) * xt->n_cols];
+ Cij += cum[j - 1 + (i - 1) * n_cols];
+ Dij -= cum[j + (i - 1) * n_cols];
}
}
}
double Cij, Dij;
btau_cum = ctau_cum = gamma_cum = d_yx_cum = d_xy_cum = 0.;
- for (i = 0; i < xt->n_rows; i++)
+ for (i = 0; i < n_rows; i++)
{
Cij = Dij = 0.;
- for (j = 1; j < xt->n_cols; j++)
- Cij += xt->col_tot[j] - cum[j + i * xt->n_cols];
+ for (j = 1; j < n_cols; j++)
+ Cij += xt->col_tot[j] - cum[j + i * n_cols];
if (i > 0)
- for (j = 1; j < xt->n_cols; j++)
- Dij += cum[j + (i - 1) * xt->n_cols];
+ for (j = 1; j < n_cols; j++)
+ Dij += cum[j + (i - 1) * n_cols];
for (j = 0;;)
{
- double fij = xt->mat[j + i * xt->n_cols];
+ double fij = xt->mat[j + i * n_cols];
if (proc->statistics & (1u << CRS_ST_BTAU))
{
- (Q - P) * (xt->total - xt->col_tot[j]));
}
- if (++j == xt->n_cols)
+ if (++j == n_cols)
break;
- assert (j < xt->n_cols);
+ assert (j < n_cols);
- Cij -= xt->col_tot[j] - cum[j + i * xt->n_cols];
- Dij += xt->col_tot[j - 1] - cum[j - 1 + i * xt->n_cols];
+ Cij -= xt->col_tot[j] - cum[j + i * n_cols];
+ Dij += xt->col_tot[j - 1] - cum[j - 1 + i * n_cols];
if (i > 0)
{
- Cij += cum[j - 1 + (i - 1) * xt->n_cols];
- Dij -= cum[j + (i - 1) * xt->n_cols];
+ Cij += cum[j - 1 + (i - 1) * n_cols];
+ Dij -= cum[j + (i - 1) * n_cols];
}
}
}
/* Spearman correlation, Pearson's r. */
if (proc->statistics & (1u << CRS_ST_CORR))
{
- double *R = xmalloc (sizeof *R * xt->n_rows);
- double *C = xmalloc (sizeof *C * xt->n_cols);
+ double *R = xmalloc (sizeof *R * n_rows);
+ double *C = xmalloc (sizeof *C * n_cols);
{
double y, t, c = 0., s = 0.;
t = s + y;
c = (t - s) - y;
s = t;
- if (++i == xt->n_rows)
+ if (++i == n_rows)
break;
- assert (i < xt->n_rows);
+ assert (i < n_rows);
}
}
t = s + y;
c = (t - s) - y;
s = t;
- if (++j == xt->n_cols)
+ if (++j == n_cols)
break;
- assert (j < xt->n_cols);
+ assert (j < n_cols);
}
}
free (R);
free (C);
- calc_r (xt, (double *) xt->rows, (double *) xt->cols, &v[7], &t[7], &ase[7]);
+ calc_r (xt, (double *) xt->vars[ROW_VAR].values,
+ (double *) xt->vars[COL_VAR].values,
+ &v[7], &t[7], &ase[7]);
}
/* Cohen's kappa. */
prod = xt->row_tot[i] * xt->col_tot[j];
sum = xt->row_tot[i] + xt->col_tot[j];
- sum_fii += xt->mat[j + i * xt->n_cols];
+ sum_fii += xt->mat[j + i * n_cols];
sum_rici += prod;
- sum_fiiri_ci += xt->mat[j + i * xt->n_cols] * sum;
+ sum_fiiri_ci += xt->mat[j + i * n_cols] * sum;
sum_riciri_ci += prod * sum;
}
for (sum_fijri_ci2 = 0., i = 0; i < xt->ns_rows; i++)
for (j = 0; j < xt->ns_cols; j++)
{
double sum = xt->row_tot[i] + xt->col_tot[j];
- sum_fijri_ci2 += xt->mat[j + i * xt->n_cols] * sum * sum;
+ sum_fijri_ci2 += xt->mat[j + i * n_cols] * sum * sum;
}
v[8] = (xt->total * sum_fii - sum_rici) / (pow2 (xt->total) - sum_rici);
}
/* Calculate risk estimate. */
-static int
+static bool
calc_risk (struct crosstabulation *xt,
- double *value, double *upper, double *lower, union value *c)
+ double *value, double *upper, double *lower, union value *c,
+ double *n_valid)
{
+ size_t n_cols = xt->vars[COL_VAR].n_values;
double f11, f12, f21, f22;
double v;
- {
- int i;
-
- for (i = 0; i < 3; i++)
- value[i] = upper[i] = lower[i] = SYSMIS;
- }
+ for (int i = 0; i < 3; i++)
+ value[i] = upper[i] = lower[i] = SYSMIS;
if (xt->ns_rows != 2 || xt->ns_cols != 2)
- return 0;
+ return false;
{
+ /* Find populated columns. */
int nz_cols[2];
- int i, j;
-
- for (i = j = 0; i < xt->n_cols; i++)
- if (xt->col_tot[i] != 0.)
- {
- nz_cols[j++] = i;
- if (j == 2)
- break;
- }
-
- assert (j == 2);
-
- f11 = xt->mat[nz_cols[0]];
- f12 = xt->mat[nz_cols[1]];
- f21 = xt->mat[nz_cols[0] + xt->n_cols];
- f22 = xt->mat[nz_cols[1] + xt->n_cols];
-
- c[0] = xt->cols[nz_cols[0]];
- c[1] = xt->cols[nz_cols[1]];
+ int n = 0;
+ FOR_EACH_POPULATED_COLUMN (c, xt)
+ nz_cols[n++] = c;
+ assert (n == 2);
+
+ /* Find populated rows. */
+ int nz_rows[2];
+ n = 0;
+ FOR_EACH_POPULATED_ROW (r, xt)
+ nz_rows[n++] = r;
+ assert (n == 2);
+
+ f11 = xt->mat[nz_cols[0] + n_cols * nz_rows[0]];
+ f12 = xt->mat[nz_cols[1] + n_cols * nz_rows[0]];
+ f21 = xt->mat[nz_cols[0] + n_cols * nz_rows[1]];
+ f22 = xt->mat[nz_cols[1] + n_cols * nz_rows[1]];
+ *n_valid = f11 + f12 + f21 + f22;
+
+ c[0] = xt->vars[COL_VAR].values[nz_cols[0]];
+ c[1] = xt->vars[COL_VAR].values[nz_cols[1]];
}
value[0] = (f11 * f22) / (f12 * f21);
lower[2] = value[2] * exp (-1.960 * v);
upper[2] = value[2] * exp (1.960 * v);
- return 1;
+ return true;
}
/* Calculate directional measures. */
double v[N_DIRECTIONAL], double ase[N_DIRECTIONAL],
double t[N_DIRECTIONAL], double sig[N_DIRECTIONAL])
{
- {
- int i;
-
- for (i = 0; i < N_DIRECTIONAL; i++)
- v[i] = ase[i] = t[i] = sig[i] = SYSMIS;
- }
+ size_t n_rows = xt->vars[ROW_VAR].n_values;
+ size_t n_cols = xt->vars[COL_VAR].n_values;
+ for (int i = 0; i < N_DIRECTIONAL; i++)
+ v[i] = ase[i] = t[i] = sig[i] = SYSMIS;
/* Lambda. */
if (proc->statistics & (1u << CRS_ST_LAMBDA))
{
- double *fim = xnmalloc (xt->n_rows, sizeof *fim);
- int *fim_index = xnmalloc (xt->n_rows, sizeof *fim_index);
- double *fmj = xnmalloc (xt->n_cols, sizeof *fmj);
- int *fmj_index = xnmalloc (xt->n_cols, sizeof *fmj_index);
- double sum_fim, sum_fmj;
- double rm, cm;
- int rm_index, cm_index;
- int i, j;
-
/* Find maximum for each row and their sum. */
- for (sum_fim = 0., i = 0; i < xt->n_rows; i++)
+ double *fim = xnmalloc (n_rows, sizeof *fim);
+ int *fim_index = xnmalloc (n_rows, sizeof *fim_index);
+ double sum_fim = 0.0;
+ for (int i = 0; i < n_rows; i++)
{
- double max = xt->mat[i * xt->n_cols];
+ double max = xt->mat[i * n_cols];
int index = 0;
- for (j = 1; j < xt->n_cols; j++)
- if (xt->mat[j + i * xt->n_cols] > max)
+ for (int j = 1; j < n_cols; j++)
+ if (xt->mat[j + i * n_cols] > max)
{
- max = xt->mat[j + i * xt->n_cols];
+ max = xt->mat[j + i * n_cols];
index = j;
}
- sum_fim += fim[i] = max;
+ fim[i] = max;
+ sum_fim += max;
fim_index[i] = index;
}
/* Find maximum for each column. */
- for (sum_fmj = 0., j = 0; j < xt->n_cols; j++)
+ double *fmj = xnmalloc (n_cols, sizeof *fmj);
+ int *fmj_index = xnmalloc (n_cols, sizeof *fmj_index);
+ double sum_fmj = 0.0;
+ for (int j = 0; j < n_cols; j++)
{
double max = xt->mat[j];
int index = 0;
- for (i = 1; i < xt->n_rows; i++)
- if (xt->mat[j + i * xt->n_cols] > max)
+ for (int i = 1; i < n_rows; i++)
+ if (xt->mat[j + i * n_cols] > max)
{
- max = xt->mat[j + i * xt->n_cols];
+ max = xt->mat[j + i * n_cols];
index = i;
}
- sum_fmj += fmj[j] = max;
+ fmj[j] = max;
+ sum_fmj += max;
fmj_index[j] = index;
}
/* Find maximum row total. */
- rm = xt->row_tot[0];
- rm_index = 0;
- for (i = 1; i < xt->n_rows; i++)
+ double rm = xt->row_tot[0];
+ int rm_index = 0;
+ for (int i = 1; i < n_rows; i++)
if (xt->row_tot[i] > rm)
{
rm = xt->row_tot[i];
}
/* Find maximum column total. */
- cm = xt->col_tot[0];
- cm_index = 0;
- for (j = 1; j < xt->n_cols; j++)
+ double cm = xt->col_tot[0];
+ int cm_index = 0;
+ for (int j = 1; j < n_cols; j++)
if (xt->col_tot[j] > cm)
{
cm = xt->col_tot[j];
/* ASE1 for Y given XT. */
{
- double accum;
-
- accum = 0.;
- for (i = 0; i < xt->n_rows; i++)
+ double accum = 0.0;
+ for (int i = 0; i < n_rows; i++)
if (cm_index == fim_index[i])
accum += fim[i];
ase[2] = sqrt ((xt->total - sum_fim) * (sum_fim + cm - 2. * accum)
/* ASE0 for Y given XT. */
{
- double accum;
-
- for (accum = 0., i = 0; i < xt->n_rows; i++)
+ double accum = 0.0;
+ for (int i = 0; i < n_rows; i++)
if (cm_index != fim_index[i])
- accum += (xt->mat[i * xt->n_cols + fim_index[i]]
- + xt->mat[i * xt->n_cols + cm_index]);
+ accum += (xt->mat[i * n_cols + fim_index[i]]
+ + xt->mat[i * n_cols + cm_index]);
t[2] = v[2] / (sqrt (accum - pow2 (sum_fim - cm) / xt->total) / (xt->total - cm));
}
/* ASE1 for XT given Y. */
{
- double accum;
-
- accum = 0.;
- for (j = 0; j < xt->n_cols; j++)
+ double accum = 0.0;
+ for (int j = 0; j < n_cols; j++)
if (rm_index == fmj_index[j])
accum += fmj[j];
ase[1] = sqrt ((xt->total - sum_fmj) * (sum_fmj + rm - 2. * accum)
/* ASE0 for XT given Y. */
{
- double accum;
-
- for (accum = 0., j = 0; j < xt->n_cols; j++)
+ double accum = 0.0;
+ for (int j = 0; j < n_cols; j++)
if (rm_index != fmj_index[j])
- accum += (xt->mat[j + xt->n_cols * fmj_index[j]]
- + xt->mat[j + xt->n_cols * rm_index]);
+ accum += (xt->mat[j + n_cols * fmj_index[j]]
+ + xt->mat[j + n_cols * rm_index]);
t[1] = v[1] / (sqrt (accum - pow2 (sum_fmj - rm) / xt->total) / (xt->total - rm));
}
/* Symmetric ASE0 and ASE1. */
{
- double accum0;
- double accum1;
-
- for (accum0 = accum1 = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ double accum0 = 0.0;
+ double accum1 = 0.0;
+ for (int i = 0; i < n_rows; i++)
+ for (int j = 0; j < n_cols; j++)
{
int temp0 = (fmj_index[j] == i) + (fim_index[i] == j);
int temp1 = (i == rm_index) + (j == cm_index);
- accum0 += xt->mat[j + i * xt->n_cols] * pow2 (temp0 - temp1);
- accum1 += (xt->mat[j + i * xt->n_cols]
+ accum0 += xt->mat[j + i * n_cols] * pow2 (temp0 - temp1);
+ accum1 += (xt->mat[j + i * n_cols]
* pow2 (temp0 + (v[0] - 1.) * temp1));
}
ase[0] = sqrt (accum1 - 4. * xt->total * v[0] * v[0]) / (2. * xt->total - rm - cm);
/ (2. * xt->total - rm - cm));
}
- for (i = 0; i < 3; i++)
+ for (int i = 0; i < 3; i++)
sig[i] = 2 * gsl_cdf_ugaussian_Q (t[i]);
free (fim);
/* Tau. */
{
- double sum_fij2_ri, sum_fij2_ci;
- double sum_ri2, sum_cj2;
-
- for (sum_fij2_ri = sum_fij2_ci = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ double sum_fij2_ri = 0.0;
+ double sum_fij2_ci = 0.0;
+ FOR_EACH_POPULATED_ROW (i, xt)
+ FOR_EACH_POPULATED_COLUMN (j, xt)
{
- double temp = pow2 (xt->mat[j + i * xt->n_cols]);
+ double temp = pow2 (xt->mat[j + i * n_cols]);
sum_fij2_ri += temp / xt->row_tot[i];
sum_fij2_ci += temp / xt->col_tot[j];
}
- for (sum_ri2 = 0., i = 0; i < xt->n_rows; i++)
+ double sum_ri2 = 0.0;
+ for (int i = 0; i < n_rows; i++)
sum_ri2 += pow2 (xt->row_tot[i]);
- for (sum_cj2 = 0., j = 0; j < xt->n_cols; j++)
+ double sum_cj2 = 0.0;
+ for (int j = 0; j < n_cols; j++)
sum_cj2 += pow2 (xt->col_tot[j]);
v[3] = (xt->total * sum_fij2_ci - sum_ri2) / (pow2 (xt->total) - sum_ri2);
if (proc->statistics & (1u << CRS_ST_UC))
{
- double UX, UY, UXY, P;
- double ase1_yx, ase1_xy, ase1_sym;
- int i, j;
+ double UX = 0.0;
+ FOR_EACH_POPULATED_ROW (i, xt)
+ UX -= xt->row_tot[i] / xt->total * log (xt->row_tot[i] / xt->total);
- for (UX = 0., i = 0; i < xt->n_rows; i++)
- if (xt->row_tot[i] > 0.)
- UX -= xt->row_tot[i] / xt->total * log (xt->row_tot[i] / xt->total);
+ double UY = 0.0;
+ FOR_EACH_POPULATED_COLUMN (j, xt)
+ UY -= xt->col_tot[j] / xt->total * log (xt->col_tot[j] / xt->total);
- for (UY = 0., j = 0; j < xt->n_cols; j++)
- if (xt->col_tot[j] > 0.)
- UY -= xt->col_tot[j] / xt->total * log (xt->col_tot[j] / xt->total);
-
- for (UXY = P = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ double UXY = 0.0;
+ double P = 0.0;
+ for (int i = 0; i < n_rows; i++)
+ for (int j = 0; j < n_cols; j++)
{
- double entry = xt->mat[j + i * xt->n_cols];
+ double entry = xt->mat[j + i * n_cols];
if (entry <= 0.)
continue;
UXY -= entry / xt->total * log (entry / xt->total);
}
- for (ase1_yx = ase1_xy = ase1_sym = 0., i = 0; i < xt->n_rows; i++)
- for (j = 0; j < xt->n_cols; j++)
+ double ase1_yx = 0.0;
+ double ase1_xy = 0.0;
+ double ase1_sym = 0.0;
+ for (int i = 0; i < n_rows; i++)
+ for (int j = 0; j < n_cols; j++)
{
- double entry = xt->mat[j + i * xt->n_cols];
+ double entry = xt->mat[j + i * n_cols];
if (entry <= 0.)
continue;
if (calc_symmetric (proc, xt, v_dummy, ase_dummy, t_dummy,
somers_d_v, somers_d_ase, somers_d_t))
{
- int i;
- for (i = 0; i < 3; i++)
+ for (int i = 0; i < 3; i++)
{
v[8 + i] = somers_d_v[i];
ase[8 + i] = somers_d_ase[i];
/* Eta. */
if (proc->statistics & (1u << CRS_ST_ETA))
{
- {
- double sum_Xr, sum_X2r;
- double SX, SXW;
- int i, j;
-
- for (sum_Xr = sum_X2r = 0., i = 0; i < xt->n_rows; i++)
- {
- sum_Xr += xt->rows[i].f * xt->row_tot[i];
- sum_X2r += pow2 (xt->rows[i].f) * xt->row_tot[i];
- }
- SX = sum_X2r - pow2 (sum_Xr) / xt->total;
-
- for (SXW = 0., j = 0; j < xt->n_cols; j++)
- {
- double cum;
-
- for (cum = 0., i = 0; i < xt->n_rows; i++)
- {
- SXW += pow2 (xt->rows[i].f) * xt->mat[j + i * xt->n_cols];
- cum += xt->rows[i].f * xt->mat[j + i * xt->n_cols];
- }
+ /* X dependent. */
+ double sum_Xr = 0.0;
+ double sum_X2r = 0.0;
+ for (int i = 0; i < n_rows; i++)
+ {
+ sum_Xr += xt->vars[ROW_VAR].values[i].f * xt->row_tot[i];
+ sum_X2r += pow2 (xt->vars[ROW_VAR].values[i].f) * xt->row_tot[i];
+ }
+ double SX = sum_X2r - pow2 (sum_Xr) / xt->total;
- SXW -= cum * cum / xt->col_tot[j];
- }
- v[11] = sqrt (1. - SXW / SX);
- }
+ double SXW = 0.0;
+ FOR_EACH_POPULATED_COLUMN (j, xt)
+ {
+ double cum = 0.0;
- {
- double sum_Yc, sum_Y2c;
- double SY, SYW;
- int i, j;
+ for (int i = 0; i < n_rows; i++)
+ {
+ SXW += (pow2 (xt->vars[ROW_VAR].values[i].f)
+ * xt->mat[j + i * n_cols]);
+ cum += (xt->vars[ROW_VAR].values[i].f
+ * xt->mat[j + i * n_cols]);
+ }
- for (sum_Yc = sum_Y2c = 0., i = 0; i < xt->n_cols; i++)
- {
- sum_Yc += xt->cols[i].f * xt->col_tot[i];
- sum_Y2c += pow2 (xt->cols[i].f) * xt->col_tot[i];
- }
- SY = sum_Y2c - sum_Yc * sum_Yc / xt->total;
+ SXW -= cum * cum / xt->col_tot[j];
+ }
+ v[11] = sqrt (1. - SXW / SX);
- for (SYW = 0., i = 0; i < xt->n_rows; i++)
- {
- double cum;
+ /* Y dependent. */
+ double sum_Yc = 0.0;
+ double sum_Y2c = 0.0;
+ for (int i = 0; i < n_cols; i++)
+ {
+ sum_Yc += xt->vars[COL_VAR].values[i].f * xt->col_tot[i];
+ sum_Y2c += pow2 (xt->vars[COL_VAR].values[i].f) * xt->col_tot[i];
+ }
+ double SY = sum_Y2c - pow2 (sum_Yc) / xt->total;
- for (cum = 0., j = 0; j < xt->n_cols; j++)
- {
- SYW += pow2 (xt->cols[j].f) * xt->mat[j + i * xt->n_cols];
- cum += xt->cols[j].f * xt->mat[j + i * xt->n_cols];
- }
+ double SYW = 0.0;
+ FOR_EACH_POPULATED_ROW (i, xt)
+ {
+ double cum = 0.0;
+ for (int j = 0; j < n_cols; j++)
+ {
+ SYW += (pow2 (xt->vars[COL_VAR].values[j].f)
+ * xt->mat[j + i * n_cols]);
+ cum += (xt->vars[COL_VAR].values[j].f
+ * xt->mat[j + i * n_cols]);
+ }
- SYW -= cum * cum / xt->row_tot[i];
- }
- v[12] = sqrt (1. - SYW / SY);
- }
+ SYW -= cum * cum / xt->row_tot[i];
+ }
+ v[12] = sqrt (1. - SYW / SY);
}
return 1;
projects / pspp / blobdiff