append_value_name (const struct variable *var, const union value *val, struct string *str)
{
var_append_value_name (var, val, str);
append_value_name (const struct variable *var, const union value *val, struct string *str)
{
var_append_value_name (var, val, str);
const struct exploratory_stats *es =
categoricals_get_user_data_by_category_real (cmd->cats, iact_idx, grp);
const struct exploratory_stats *es =
categoricals_get_user_data_by_category_real (cmd->cats, iact_idx, grp);
const struct exploratory_stats *es =
categoricals_get_user_data_by_category_real (cmd->cats, iact_idx, grp);
const struct exploratory_stats *es =
categoricals_get_user_data_by_category_real (cmd->cats, iact_idx, grp);
{
ds_put_cstr (&label, " (");
for (ivar_idx = 0; ivar_idx < iact->n_vars; ++ivar_idx)
{
ds_put_cstr (&label, " (");
for (ivar_idx = 0; ivar_idx < iact->n_vars; ++ivar_idx)
if (npp == NULL || dnpp == NULL)
{
msg (MW, _("Not creating NP plot because data set is empty."));
if (npp == NULL || dnpp == NULL)
{
msg (MW, _("Not creating NP plot because data set is empty."));
{
ds_put_cstr (&label, " (");
for (ivar_idx = 0; ivar_idx < iact->n_vars; ++ivar_idx)
{
ds_put_cstr (&label, " (");
for (ivar_idx = 0; ivar_idx < iact->n_vars; ++ivar_idx)
moments_calculate (es[v].mom, &n, &mean, &var, NULL, NULL);
moments_calculate (es[v].mom, &n, &mean, &var, NULL, NULL);
ds_cstr (&label), n, mean,
sqrt (var), false));
ds_cstr (&label), n, mean,
sqrt (var), false));
const struct interaction *iact,
struct pivot_footnote *missing_footnote)
{
const struct interaction *iact,
struct pivot_footnote *missing_footnote)
{
percentiles_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Percentiles"));
percentiles_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Percentiles"));
struct pivot_dimension *percentiles = pivot_dimension_create (
table, PIVOT_AXIS_COLUMN, N_("Percentiles"));
struct pivot_dimension *percentiles = pivot_dimension_create (
table, PIVOT_AXIS_COLUMN, N_("Percentiles"));
normality_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Tests of Normality"));
normality_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Tests of Normality"));
struct pivot_dimension *test =
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Shapiro-Wilk"),
struct pivot_dimension *test =
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Shapiro-Wilk"),
descriptives_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Descriptives"));
descriptives_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Descriptives"));
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Aspect"),
N_("Statistic"), N_("Std. Error"));
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Aspect"),
N_("Statistic"), N_("Std. Error"));
extremes_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Extreme Values"));
extremes_report (const struct examine *cmd, int iact_idx)
{
struct pivot_table *table = pivot_table_create (N_("Extreme Values"));
struct pivot_dimension *statistics = pivot_dimension_create (
table, PIVOT_AXIS_COLUMN, N_("Statistics"));
struct pivot_dimension *statistics = pivot_dimension_create (
table, PIVOT_AXIS_COLUMN, N_("Statistics"));
for (size_t i = 0; i < cmd->disp_extremes; i++)
pivot_category_create_leaf (order->root, pivot_value_new_integer (i + 1));
for (size_t i = 0; i < cmd->disp_extremes; i++)
pivot_category_create_leaf (order->root, pivot_value_new_integer (i + 1));
- pivot_dimension_create (table, PIVOT_AXIS_ROW, N_("Extreme"),
+ pivot_dimension_create (table, PIVOT_AXIS_ROW,
+ /* TRANSLATORS: This is a noun, not an adjective. */
+ N_("Extreme"),
N_("Highest"), N_("Lowest"));
const struct interaction *iact = cmd->iacts[iact_idx];
N_("Highest"), N_("Lowest"));
const struct interaction *iact = cmd->iacts[iact_idx];
pivot_table_set_weight_var (table, dict_get_weight (cmd->dict));
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Statistics"),
pivot_table_set_weight_var (table, dict_get_weight (cmd->dict));
pivot_dimension_create (table, PIVOT_AXIS_COLUMN, N_("Statistics"),
lex_match (lexer, T_SLASH);
if (lex_match_id (lexer, "VARIABLES"))
{
lex_match (lexer, T_SLASH);
if (lex_match_id (lexer, "VARIABLES"))
{
{
msg (SE, _("%s and %s are mutually exclusive"), "TOTAL", "NOTOTAL");
goto error;
{
msg (SE, _("%s and %s are mutually exclusive"), "TOTAL", "NOTOTAL");
goto error;
/* If totals have been requested or if there are no factors
in this analysis, then the totals need to be included. */
/* If totals have been requested or if there are no factors
in this analysis, then the totals need to be included. */
{
examine.id_idx = var_get_case_index (examine.id_var);
examine.id_width = var_get_width (examine.id_var);
{
examine.id_idx = var_get_case_index (examine.id_var);
examine.id_width = var_get_width (examine.id_var);