static void
output_frequency_table (const struct two_sample_test *t2s,
const struct sign_test_params *param,
const struct dictionary *dict)
{
int i;
struct tab_table *table = tab_create (3, 1 + 4 * t2s->n_pairs);
const struct variable *wv = dict_get_weight (dict);
const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : & F_8_0;
tab_set_format (table, RC_WEIGHT, wfmt);
tab_title (table, _("Frequencies"));
tab_headers (table, 2, 0, 1, 0);
/* Vertical lines inside the box */
tab_box (table, 0, 0, -1, TAL_1,
1, 0, tab_nc (table) - 1, tab_nr (table) - 1 );
/* Box around entire table */
tab_box (table, TAL_2, TAL_2, -1, -1,
0, 0, tab_nc (table) - 1, tab_nr (table) - 1 );
tab_text (table, 2, 0, TAB_CENTER, _("N"));
for (i = 0 ; i < t2s->n_pairs; ++i)
{
variable_pair *vp = &t2s->pairs[i];
struct string pair_name;
ds_init_cstr (&pair_name, var_to_string ((*vp)[0]));
ds_put_cstr (&pair_name, " - ");
ds_put_cstr (&pair_name, var_to_string ((*vp)[1]));
tab_text (table, 0, 1 + i * 4, TAB_LEFT, ds_cstr (&pair_name));
ds_destroy (&pair_name);
tab_hline (table, TAL_1, 0, tab_nc (table) - 1, 1 + i * 4);
tab_text (table, 1, 1 + i * 4, TAB_LEFT, _("Negative Differences"));
tab_text (table, 1, 2 + i * 4, TAB_LEFT, _("Positive Differences"));
tab_text (table, 1, 3 + i * 4, TAB_LEFT, _("Ties"));
tab_text (table, 1, 4 + i * 4, TAB_LEFT, _("Total"));
tab_double (table, 2, 1 + i * 4, TAB_RIGHT, param[i].neg, NULL, RC_WEIGHT);
tab_double (table, 2, 2 + i * 4, TAB_RIGHT, param[i].pos, NULL, RC_WEIGHT);
tab_double (table, 2, 3 + i * 4, TAB_RIGHT, param[i].ties, NULL, RC_WEIGHT);
tab_double (table, 2, 4 + i * 4, TAB_RIGHT,
param[i].ties + param[i].neg + param[i].pos, NULL, RC_WEIGHT);
}
tab_submit (table);
}
static void
output_statistics_table (const struct two_sample_test *t2s,
const struct sign_test_params *param)
{
int i;
struct tab_table *table = tab_create (1 + t2s->n_pairs, 4);
tab_title (table, _("Test Statistics"));
tab_headers (table, 0, 1, 0, 1);
tab_hline (table, TAL_2, 0, tab_nc (table) - 1, 1);
tab_vline (table, TAL_2, 1, 0, tab_nr (table) - 1);
/* Vertical lines inside the box */
tab_box (table, -1, -1, -1, TAL_1,
0, 0,
tab_nc (table) - 1, tab_nr (table) - 1);
/* Box around entire table */
tab_box (table, TAL_2, TAL_2, -1, -1,
0, 0, tab_nc (table) - 1,
tab_nr (table) - 1);
tab_text (table, 0, 1, TAT_TITLE | TAB_LEFT,
_("Exact Sig. (2-tailed)"));
tab_text (table, 0, 2, TAT_TITLE | TAB_LEFT,
_("Exact Sig. (1-tailed)"));
tab_text (table, 0, 3, TAT_TITLE | TAB_LEFT,
_("Point Probability"));
for (i = 0 ; i < t2s->n_pairs; ++i)
{
variable_pair *vp = &t2s->pairs[i];
struct string pair_name;
ds_init_cstr (&pair_name, var_to_string ((*vp)[0]));
ds_put_cstr (&pair_name, " - ");
ds_put_cstr (&pair_name, var_to_string ((*vp)[1]));
tab_text (table, 1 + i, 0, TAB_LEFT, ds_cstr (&pair_name));
ds_destroy (&pair_name);
tab_double (table, 1 + i, 1, TAB_RIGHT,
param[i].one_tailed_sig * 2, NULL, RC_PVALUE);
tab_double (table, 1 + i, 2, TAB_RIGHT, param[i].one_tailed_sig, NULL, RC_PVALUE);
tab_double (table, 1 + i, 3, TAB_RIGHT, param[i].point_prob, NULL, RC_PVALUE);
}
tab_submit (table);
}
/* Create a table which can be populated with the encodings for
the covariance matrix COV */
struct tab_table *
covariance_dump_enc_header (const struct covariance *cov, int length)
{
struct tab_table *t = tab_create (cov->dim, length);
int n;
int i;
tab_title (t, "Covariance Encoding");
tab_box (t,
TAL_2, TAL_2, 0, 0,
0, 0, tab_nc (t) - 1, tab_nr (t) - 1);
tab_hline (t, TAL_2, 0, tab_nc (t) - 1, 1);
for (i = 0 ; i < cov->n_vars; ++i)
{
tab_text (t, i, 0, TAT_TITLE, var_get_name (cov->vars[i]));
tab_vline (t, TAL_1, i + 1, 0, tab_nr (t) - 1);
}
n = 0;
while (i < cov->dim)
{
struct string str;
int idx = i - cov->n_vars;
const struct interaction *iact =
categoricals_get_interaction_by_subscript (cov->categoricals, idx);
int df;
ds_init_empty (&str);
interaction_to_string (iact, &str);
df = categoricals_df (cov->categoricals, n);
tab_joint_text (t,
i, 0,
i + df - 1, 0,
TAT_TITLE, ds_cstr (&str));
if (i + df < tab_nr (t) - 1)
tab_vline (t, TAL_1, i + df, 0, tab_nr (t) - 1);
i += df;
n++;
ds_destroy (&str);
}
return t;
}
void MultiTabs::DrawHeader(const Point2i &mousePosition) const
{
if (tabs.empty())
return;
// Draw the buttons to change tab
if (nb_visible_tabs < tabs.size()) {
#if !CIRCULAR_TABS
if (first_tab != 0)
#endif
prev_tab_bt->Draw(mousePosition);
#if !CIRCULAR_TABS
if (first_tab + nb_visible_tabs != tabs.size())
#endif
next_tab_bt->Draw(mousePosition);
}
for (uint i = first_tab; i < first_tab + nb_visible_tabs; i++) {
// Draw the title
uint pos_x = prev_tab_bt->GetPositionX() + prev_tab_bt->GetSizeX()
+ MARGIN + (i-first_tab)*tab_header_width;
bool is_current = i == current_tab;
Text tab_title(tabs[i].GetTitle(), is_current ? primary_red_color : dark_gray_color,
Font::FONT_MEDIUM, Font::FONT_BOLD, is_current);
tab_title.DrawCenter(Point2i(pos_x + tab_header_width/2,
position.y + tab_header_height/2));
}
if (nb_visible_tabs > 1) {
uint end_y = position.y + tab_header_height - 2;
uint current_tab_pos_x = prev_tab_bt->GetPositionX() + prev_tab_bt->GetSizeX()
+ MARGIN + (current_tab-first_tab)*tab_header_width;
GetMainWindow().VlineColor(current_tab_pos_x, position.y +1, end_y, GetBorderColor());
GetMainWindow().VlineColor(current_tab_pos_x + tab_header_width, position.y +1, end_y, GetBorderColor());
GetMainWindow().HlineColor(position.x, current_tab_pos_x, end_y, GetBorderColor());
GetMainWindow().HlineColor(current_tab_pos_x + tab_header_width, position.x + size.x - 2, end_y, GetBorderColor());
}
}
static void
reliability_statistics (const struct reliability *rel)
{
int n_cols = rol[rel->model].n_cols;
int n_rows = rol[rel->model].n_rows;
int heading_columns = rol[rel->model].heading_cols;
int heading_rows = rol[rel->model].heading_rows;
struct tab_table *tbl = tab_create (n_cols, n_rows);
tab_headers (tbl, heading_columns, 0, heading_rows, 0);
tab_title (tbl, _("Reliability Statistics"));
/* Vertical lines for the data only */
tab_box (tbl,
-1, -1,
-1, TAL_1,
heading_columns, 0,
n_cols - 1, n_rows - 1);
/* Box around table */
tab_box (tbl,
TAL_2, TAL_2,
-1, -1,
0, 0,
n_cols - 1, n_rows - 1);
tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
if ( rel->model == MODEL_ALPHA )
reliability_statistics_model_alpha (tbl, rel);
else if (rel->model == MODEL_SPLIT )
reliability_statistics_model_split (tbl, rel);
tab_submit (tbl);
}
static void
reliability_summary_total (const struct reliability *rel)
{
int i;
const int n_cols = 5;
const int heading_columns = 1;
const int heading_rows = 1;
const int n_rows = rel->sc[0].n_items + heading_rows ;
struct tab_table *tbl = tab_create (n_cols, n_rows);
tab_headers (tbl, heading_columns, 0, heading_rows, 0);
tab_title (tbl, _("Item-Total Statistics"));
/* Vertical lines for the data only */
tab_box (tbl,
-1, -1,
-1, TAL_1,
heading_columns, 0,
n_cols - 1, n_rows - 1);
/* Box around table */
tab_box (tbl,
TAL_2, TAL_2,
-1, -1,
0, 0,
n_cols - 1, n_rows - 1);
tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
tab_text (tbl, 1, 0, TAB_CENTER | TAT_TITLE,
_("Scale Mean if Item Deleted"));
tab_text (tbl, 2, 0, TAB_CENTER | TAT_TITLE,
_("Scale Variance if Item Deleted"));
tab_text (tbl, 3, 0, TAB_CENTER | TAT_TITLE,
_("Corrected Item-Total Correlation"));
tab_text (tbl, 4, 0, TAB_CENTER | TAT_TITLE,
_("Cronbach's Alpha if Item Deleted"));
for (i = 0 ; i < rel->sc[0].n_items; ++i)
{
double cov, item_to_total_r;
double mean, weight, var;
const struct cronbach *s = &rel->sc[rel->total_start + i];
tab_text (tbl, 0, heading_rows + i, TAB_LEFT| TAT_TITLE,
var_to_string (rel->sc[0].items[i]));
moments1_calculate (s->total, &weight, &mean, &var, 0, 0);
tab_double (tbl, 1, heading_rows + i, TAB_RIGHT,
mean, NULL);
tab_double (tbl, 2, heading_rows + i, TAB_RIGHT,
s->variance_of_sums, NULL);
tab_double (tbl, 4, heading_rows + i, TAB_RIGHT,
s->alpha, NULL);
moments1_calculate (rel->sc[0].m[i], &weight, &mean, &var, 0,0);
cov = rel->sc[0].variance_of_sums + var - s->variance_of_sums;
cov /= 2.0;
item_to_total_r = (cov - var) / (sqrt(var) * sqrt (s->variance_of_sums));
tab_double (tbl, 3, heading_rows + i, TAB_RIGHT,
item_to_total_r, NULL);
}
tab_submit (tbl);
}
static void
case_processing_summary (casenumber n_valid, casenumber n_missing,
const struct dictionary *dict)
{
const struct variable *wv = dict_get_weight (dict);
const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : & F_8_0;
casenumber total;
int n_cols = 4;
int n_rows = 4;
int heading_columns = 2;
int heading_rows = 1;
struct tab_table *tbl;
tbl = tab_create (n_cols, n_rows);
tab_headers (tbl, heading_columns, 0, heading_rows, 0);
tab_title (tbl, _("Case Processing Summary"));
/* Vertical lines for the data only */
tab_box (tbl,
-1, -1,
-1, TAL_1,
heading_columns, 0,
n_cols - 1, n_rows - 1);
/* Box around table */
tab_box (tbl,
TAL_2, TAL_2,
-1, -1,
0, 0,
n_cols - 1, n_rows - 1);
tab_hline (tbl, TAL_2, 0, n_cols - 1, heading_rows);
tab_vline (tbl, TAL_2, heading_columns, 0, n_rows - 1);
tab_text (tbl, 0, heading_rows, TAB_LEFT | TAT_TITLE,
_("Cases"));
tab_text (tbl, 1, heading_rows, TAB_LEFT | TAT_TITLE,
_("Valid"));
tab_text (tbl, 1, heading_rows + 1, TAB_LEFT | TAT_TITLE,
_("Excluded"));
tab_text (tbl, 1, heading_rows + 2, TAB_LEFT | TAT_TITLE,
_("Total"));
tab_text (tbl, heading_columns, 0, TAB_CENTER | TAT_TITLE,
_("N"));
tab_text (tbl, heading_columns + 1, 0, TAB_CENTER | TAT_TITLE, _("%"));
total = n_missing + n_valid;
tab_double (tbl, 2, heading_rows, TAB_RIGHT,
n_valid, wfmt);
tab_double (tbl, 2, heading_rows + 1, TAB_RIGHT,
n_missing, wfmt);
tab_double (tbl, 2, heading_rows + 2, TAB_RIGHT,
total, wfmt);
tab_double (tbl, 3, heading_rows, TAB_RIGHT,
100 * n_valid / (double) total, NULL);
tab_double (tbl, 3, heading_rows + 1, TAB_RIGHT,
100 * n_missing / (double) total, NULL);
tab_double (tbl, 3, heading_rows + 2, TAB_RIGHT,
100 * total / (double) total, NULL);
tab_submit (tbl);
}
