incl:include/!exclude;
+compare=cmp:variables/!groups;
+percentiles=custom;
+ +id=var;
+plot[plt_]=stemleaf,boxplot,npplot,:spreadlevel(*d:n),histogram,all,none;
+cinterval=double;
+statistics[st_]=descriptives,:extreme(*d:n),all,none.
+
void np_plot(const struct metrics *m, const char *factorname);
+void box_plot_group(const struct factor *fctr,
+ const struct variable **vars, int n_vars,
+ const struct variable *id
+ ) ;
+
+
+void box_plot_variables(const struct factor *fctr,
+ struct variable **vars, int n_vars,
+ const struct variable *id
+ );
+
+
/* Per Split function */
static void run_examine(const struct casefile *cf, void *cmd_);
double weight, int case_missing);
+/* Represent a factor as a string, so it can be
+ printed in a human readable fashion */
+const char * factor_to_string(const struct factor *fctr,
+ struct factor_statistics *fs,
+ const struct variable *var);
+
+
+/* Represent a factor as a string, so it can be
+ printed in a human readable fashion,
+ but sacrificing some readablility for the sake of brevity */
+const char *factor_to_string_concise(const struct factor *fctr,
+ struct factor_statistics *fs);
+
+
+
+
/* Function to use for testing for missing values */
static is_missing_func value_is_missing;
if ( ! cmd.sbc_cinterval)
cmd.n_cinterval[0] = 95.0;
-
/* If descriptives have been requested, make sure the
quartiles are calculated */
if ( cmd.a_statistics[XMN_ST_DESCRIPTIVES] )
np_plot(&totals[v], var_to_string(dependent_vars[v]));
}
+ if ( cmd.a_plot[XMN_PLT_BOXPLOT] )
+ {
+ if ( cmd.cmp == XMN_GROUPS )
+ {
+ box_plot_group(0, dependent_vars, n_dependent_vars,
+ cmd.v_id);
+ }
+ else
+ box_plot_variables(0, dependent_vars, n_dependent_vars,
+ cmd.v_id);
+ }
+
if ( cmd.a_plot[XMN_PLT_HISTOGRAM] )
{
for ( v = 0 ; v < n_dependent_vars; ++v )
struct factor_statistics **fs = fctr->fs ;
+ if ( cmd.a_plot[XMN_PLT_BOXPLOT] )
+ {
+ if ( cmd.cmp == XMN_VARIABLES )
+ box_plot_variables(fctr, dependent_vars, n_dependent_vars,
+ cmd.v_id);
+ else
+ box_plot_group(fctr, dependent_vars, n_dependent_vars,
+ cmd.v_id);
+ }
+
for ( v = 0 ; v < n_dependent_vars; ++v )
{
for ( fs = fctr->fs ; *fs ; ++fs )
{
- char buf1[100];
- char buf2[100];
- sprintf(buf1, "%s (",
- var_to_string(dependent_vars[v]));
-
- snprintf(buf2, 100, "%s = %s",
- var_to_string(fctr->indep_var[0]),
- value_to_string(&(*fs)->id[0],fctr->indep_var[0]));
-
- strcat(buf1, buf2);
-
- if ( fctr->indep_var[1] )
- {
- sprintf(buf2, "; %s = %s)",
- var_to_string(fctr->indep_var[1]),
- value_to_string(&(*fs)->id[1],
- fctr->indep_var[1]));
- strcat(buf1, buf2);
- }
- else
- {
- strcat(buf1, ")");
- }
+ const char *s = factor_to_string(fctr, *fs, dependent_vars[v]);
if ( cmd.a_plot[XMN_PLT_NPPLOT] )
- np_plot(&(*fs)->m[v],buf1);
+ np_plot(&(*fs)->m[v], s);
-
if ( cmd.a_plot[XMN_PLT_HISTOGRAM] )
{
struct normal_curve normal;
normal.stddev = (*fs)->m[v].stddev;
histogram_plot((*fs)->m[v].histogram,
- buf1, &normal, 0);
+ s, &normal, 0);
}
} /* for ( fs .... */
if ( value_is_missing(val,var) || case_missing )
val = 0;
-
- metrics_calc( &(*foo)->m[v], val, weight, case_no );
+
+ metrics_calc( &(*foo)->m[v], val, weight, case_no);
+
}
fctr = fctr->next;
if ( value_is_missing(val,var) || case_missing )
val = 0;
- metrics_calc(&totals[v], val, weight, case_no );
+ metrics_calc(&totals[v], val, weight, case_no);
}
tab_title (tbl, 0, _("Extreme Values"));
-
tab_vline (tbl, TAL_2, n_cols - 2, 0, n_rows -1);
tab_vline (tbl, TAL_1, n_cols - 1, 0, n_rows -1);
tab_text (tbl, n_cols - 1, 0, TAB_CENTER | TAT_TITLE, _("Value"));
tab_text (tbl, n_cols - 2, 0, TAB_CENTER | TAT_TITLE, _("Case Number"));
-
-
-
for ( i = 0 ; i < n_dep_var ; ++i )
{
-
-
-
-
-
-
-
/* Fill in the descriptives data */
void
populate_descriptives(struct tab_table *tbl, int col, int row,
}
+
+void
+box_plot_variables(const struct factor *fctr,
+ struct variable **vars, int n_vars,
+ const struct variable *id)
+{
+ int i;
+ struct factor_statistics **fs ;
+
+ if ( ! fctr )
+ {
+ box_plot_group(fctr, vars, n_vars, id);
+ return;
+ }
+
+ for ( fs = fctr->fs ; *fs ; ++fs )
+ {
+ double y_min = DBL_MAX;
+ double y_max = -DBL_MAX;
+ struct chart ch;
+
+ chart_initialise(&ch);
+
+ const char *s = factor_to_string(fctr, *fs, 0 );
+
+ chart_write_title(&ch, s);
+
+ for ( i = 0 ; i < n_vars ; ++i )
+ {
+ y_max = max(y_max, (*fs)->m[i].max);
+ y_min = min(y_min, (*fs)->m[i].min);
+ }
+
+ boxplot_draw_yscale(&ch, y_max, y_min);
+
+ for ( i = 0 ; i < n_vars ; ++i )
+ {
+
+ const double box_width = (ch.data_right - ch.data_left)
+ / (n_vars * 2.0 ) ;
+
+ const double box_centre = ( i * 2 + 1) * box_width
+ + ch.data_left;
+
+ boxplot_draw_boxplot(&ch,
+ box_centre, box_width,
+ &(*fs)->m[i],
+ var_to_string(vars[i]));
+
+
+ }
+
+ chart_finalise(&ch);
+
+ }
+
+}
+
+
+
+/* Do a box plot, grouping all factors into one plot ;
+ each dependent variable has its own plot.
+*/
+void
+box_plot_group(const struct factor *fctr,
+ const struct variable **vars,
+ int n_vars,
+ const struct variable *id)
+{
+ int i;
+
+ for ( i = 0 ; i < n_vars ; ++i )
+ {
+ struct factor_statistics **fs ;
+ struct chart ch;
+
+ chart_initialise(&ch);
+
+ boxplot_draw_yscale(&ch, totals[i].max, totals[i].min);
+
+ if ( fctr )
+ {
+ int n_factors = 0;
+ int f=0;
+ for ( fs = fctr->fs ; *fs ; ++fs )
+ ++n_factors;
+
+ chart_write_title(&ch, _("Boxplot of %s vs. %s"),
+ var_to_string(vars[i]), var_to_string(fctr->indep_var[0]) );
+
+ for ( fs = fctr->fs ; *fs ; ++fs )
+ {
+
+ const char *s = factor_to_string_concise(fctr, *fs);
+
+ const double box_width = (ch.data_right - ch.data_left)
+ / (n_factors * 2.0 ) ;
+
+ const double box_centre = ( f++ * 2 + 1) * box_width
+ + ch.data_left;
+
+ boxplot_draw_boxplot(&ch,
+ box_centre, box_width,
+ &(*fs)->m[i],
+ s);
+ }
+ }
+ else
+ {
+ const double box_width = (ch.data_right - ch.data_left) / 3.0;
+ const double box_centre = (ch.data_right + ch.data_left) / 2.0;
+
+ chart_write_title(&ch, _("Boxplot"));
+
+ boxplot_draw_boxplot(&ch,
+ box_centre, box_width,
+ &totals[i],
+ var_to_string(vars[i]) );
+
+ }
+
+ chart_finalise(&ch);
+ }
+
+}
+
+
/* Plot the normal and detrended normal plots for m
Label the plots with factorname */
void
if ( (*p)->p == 25 )
tab_float(tbl, col + i + 1 , row + 1,
TAB_CENTER,
- m->hinges[0], 8, 2);
+ m->hinge[0], 8, 2);
if ( (*p)->p == 50 )
tab_float(tbl, col + i + 1 , row + 1,
TAB_CENTER,
- m->hinges[1], 8, 2);
+ m->hinge[1], 8, 2);
if ( (*p)->p == 75 )
tab_float(tbl, col + i + 1 , row + 1,
TAB_CENTER,
- m->hinges[2], 8, 2);
+ m->hinge[2], 8, 2);
i++;
p++;
}
+}
+
+const char *
+factor_to_string(const struct factor *fctr,
+ struct factor_statistics *fs,
+ const struct variable *var)
+{
+
+ static char buf1[100];
+ char buf2[100];
+ strcpy(buf1,"");
+
+ if (var)
+ sprintf(buf1, "%s (",var_to_string(var) );
+
+
+ snprintf(buf2, 100, "%s = %s",
+ var_to_string(fctr->indep_var[0]),
+ value_to_string(&fs->id[0],fctr->indep_var[0]));
+
+ strcat(buf1, buf2);
+
+ if ( fctr->indep_var[1] )
+ {
+ sprintf(buf2, "; %s = %s)",
+ var_to_string(fctr->indep_var[1]),
+ value_to_string(&fs->id[1],
+ fctr->indep_var[1]));
+ strcat(buf1, buf2);
+ }
+ else
+ {
+ if ( var )
+ strcat(buf1, ")");
+ }
+
+ return buf1;
}
+
+
+const char *
+factor_to_string_concise(const struct factor *fctr,
+ struct factor_statistics *fs)
+
+{
+
+ static char buf[100];
+
+ char buf2[100];
+
+ snprintf(buf, 100, "%s",
+ value_to_string(&fs->id[0], fctr->indep_var[0]));
+
+ if ( fctr->indep_var[1] )
+ {
+ sprintf(buf2, ",%s)", value_to_string(&fs->id[1], fctr->indep_var[1]) );
+ strcat(buf, buf2);
+ }
+
+
+ return buf;
+}
projects / pspp-builds.git / blobdiff