for (v = 0; v < cmd->n_vars; ++v)
{
+ const gsl_matrix *ucm;
gsl_matrix *cm;
struct per_var_ws *pvw = &ws.vws[v];
const struct categoricals *cats = covariance_get_categoricals (pvw->cov);
continue;
}
- cm = covariance_calculate_unnormalized (pvw->cov);
+ ucm = covariance_calculate_unnormalized (pvw->cov);
+
+ cm = gsl_matrix_alloc (ucm->size1, ucm->size2);
+ gsl_matrix_memcpy (cm, ucm);
moments1_calculate (ws.dd_total[v]->mom, &pvw->n, NULL, NULL, NULL, NULL);
reg_sweep (cm, 0);
pvw->sse = gsl_matrix_get (cm, 0, 0);
+ gsl_matrix_free (cm);
pvw->ssa = pvw->sst - pvw->sse;
pvw->n_groups = categoricals_n_total (cats);
pvw->mse = (pvw->sst - pvw->ssa) / (pvw->n - pvw->n_groups);
-
- gsl_matrix_free (cm);
}
for (v = 0; v < cmd->n_vars; ++v)
tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("df"));
tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Mean Square"));
tab_text (t, 5, 0, TAB_CENTER | TAT_TITLE, _("F"));
- tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("Significance"));
+ tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("Sig."));
for (i = 0; i < cmd->n_vars; ++i)
tab_text (t, 1, 0, TAB_CENTER | TAT_TITLE, _("Levene Statistic"));
tab_text (t, 2, 0, TAB_CENTER | TAT_TITLE, _("df1"));
tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("df2"));
- tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Significance"));
+ tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Sig."));
tab_title (t, _("Test of Homogeneity of Variances"));