static void
reg_stats_bcov (pspp_linreg_cache * c)
{
+ int n_cols;
+ int n_rows;
+ int i;
+ int j;
+ int k;
+ int row;
+ int col;
+ const char *label;
+ struct tab_table *t;
+
assert (c != NULL);
+ n_cols = c->n_indeps + 1 + 2;
+ n_rows = 2 * (c->n_indeps + 1);
+ t = tab_create (n_cols, n_rows, 0);
+ tab_headers (t, 2, 0, 1, 0);
+ tab_dim (t, tab_natural_dimensions);
+ tab_box (t, TAL_2, TAL_2, -1, TAL_1, 0, 0, n_cols - 1, n_rows - 1);
+ tab_hline (t, TAL_2, 0, n_cols - 1, 1);
+ tab_vline (t, TAL_2, 2, 0, n_rows - 1);
+ tab_vline (t, TAL_0, 1, 0, 0);
+ tab_text (t, 0, 0, TAB_CENTER | TAT_TITLE, _("Model"));
+ tab_text (t, 1, 1, TAB_CENTER | TAT_TITLE, _("Covariances"));
+ for (i = 1; i < c->n_indeps + 1; i++)
+ {
+ j = indep_vars[(i - 1)];
+ struct variable *v = cmd.v_variables[j];
+ label = var_to_string (v);
+ tab_text (t, 2, i, TAB_CENTER, label);
+ tab_text (t, i + 2, 0, TAB_CENTER, label);
+ for (k = 1; k < c->n_indeps + 1; k++)
+ {
+ col = (i <= k) ? k : i;
+ row = (i <= k) ? i : k;
+ tab_float (t, k + 2, i, TAB_CENTER,
+ gsl_matrix_get (c->cov, row, col), 8, 3);
+ }
+ }
+ tab_title (t, 0, _("Coefficient Correlations"));
+ tab_submit (t);
}
static void
reg_stats_ses (pspp_linreg_cache * c)
*/
for (i = 0; i < f; i++)
{
- *(keywords + i) = 1;
+ keywords[i] = 1;
}
}
else
*/
if (keywords[defaults] | d)
{
- *(keywords + anova) = 1;
- *(keywords + outs) = 1;
- *(keywords + coeff) = 1;
- *(keywords + r) = 1;
+ keywords[anova] = 1;
+ keywords[outs] = 1;
+ keywords[coeff] = 1;
+ keywords[r] = 1;
}
}
statistics_keyword_output (reg_stats_r, keywords[r], c);