#include "alloc.h"
#include "str.h"
#include "case.h"
+#include "dictionary.h"
#include "command.h"
#include "lexer.h"
#include "error.h"
#include "group_proc.h"
#include "group.h"
#include "levene.h"
+/* (headers) */
/* (specification)
"ONEWAY" (oneway_):
- *variables=custom;
+ *^variables=custom;
+missing=miss:!analysis/listwise,
incl:include/!exclude;
contrast= double list;
multipass_procedure_with_splits (run_oneway, &cmd);
+ free (vars);
+ free_oneway (&cmd);
return CMD_SUCCESS;
}
/* Clean up */
for (i = 0 ; i < n_vars ; ++i )
{
- struct hsh_table *group_hash = vars[i]->p.grp_data.group_hash;
+ struct hsh_table *group_hash = group_proc_get (vars[i])->group_hash;
hsh_destroy(group_hash);
}
for ( i=0 ; i < n_vars ; ++i )
{
- struct group_statistics *totals = &vars[i]->p.grp_data.ugs;
- struct hsh_table *group_hash = vars[i]->p.grp_data.group_hash;
+ struct group_statistics *totals = &group_proc_get (vars[i])->ugs;
+ struct hsh_table *group_hash = group_proc_get (vars[i])->group_hash;
struct hsh_iterator g;
struct group_statistics *gs;
double ssa=0;
tab_hline(t, TAL_1, 0, n_cols - 1 , i * 3 + 1);
{
+ struct group_proc *gp = group_proc_get (vars[i]);
const double sst = totals->ssq - ( totals->sum * totals->sum) / totals->n ;
- const double df1 = vars[i]->p.grp_data.n_groups - 1;
- const double df2 = totals->n - vars[i]->p.grp_data.n_groups ;
+ const double df1 = gp->n_groups - 1;
+ const double df2 = totals->n - gp->n_groups ;
const double msa = ssa / df1;
- vars[i]->p.grp_data.mse = (sst - ssa) / df2;
+ gp->mse = (sst - ssa) / df2;
/* Sums of Squares */
/* Mean Squares */
tab_float (t, 4, i * 3 + 1, TAB_RIGHT, msa, 8, 3);
- tab_float (t, 4, i * 3 + 2, TAB_RIGHT, vars[i]->p.grp_data.mse, 8, 3);
+ tab_float (t, 4, i * 3 + 2, TAB_RIGHT, gp->mse, 8, 3);
{
- const double F = msa/vars[i]->p.grp_data.mse ;
+ const double F = msa/gp->mse ;
/* The F value */
tab_float (t, 5, i * 3 + 1, 0, F, 8, 3);
for ( v = 0 ; v < n_vars ; ++v )
- n_rows += vars[v]->p.grp_data.n_groups + 1;
+ n_rows += group_proc_get (vars[v])->n_groups + 1;
t = tab_create (n_cols,n_rows,0);
tab_headers (t, 2, 0, 2, 0);
{
double T;
double std_error;
-
+
+ struct group_proc *gp = group_proc_get (vars[v]);
struct hsh_iterator g;
struct group_statistics *gs;
- struct group_statistics *totals = &vars[v]->p.grp_data.ugs;
+ struct group_statistics *totals = &gp->ugs;
int count = 0 ;
const char *s = var_to_string(vars[v]);
- struct hsh_table *group_hash = vars[v]->p.grp_data.group_hash;
+ struct hsh_table *group_hash = gp->group_hash;
tab_text (t, 0, row, TAB_LEFT | TAT_TITLE, s);
gs != 0;
gs = hsh_next(group_hash,&g))
{
- const char *s = val_labs_find(indep_var->val_labs, gs->id );
-
- if ( s )
- tab_text (t, 1, row + count,
- TAB_LEFT | TAT_TITLE ,s);
- else if ( indep_var->width != 0 )
- tab_text (t, 1, row + count,
- TAB_LEFT | TAT_TITLE, gs->id.s);
- else
- tab_text (t, 1, row + count,
- TAB_LEFT | TAT_TITLE | TAT_PRINTF, "%g", gs->id.f);
-
+ tab_text (t, 1, row + count,
+ TAB_LEFT | TAT_TITLE ,value_to_string(&gs->id,indep_var));
/* Now fill in the numbers ... */
tab_float(t, 8, row + count, 0, totals->minimum, 8, 2);
tab_float(t, 9, row + count, 0, totals->maximum, 8, 2);
- row += vars[v]->p.grp_data.n_groups + 1;
+ row += gp->n_groups + 1;
}
{
double F;
const struct variable *var = vars[v];
+ const struct group_proc *gp = group_proc_get (vars[v]);
const char *s = var_to_string(var);
- const struct group_statistics *totals = &var->p.grp_data.ugs;
+ const struct group_statistics *totals = &gp->ugs;
- const double df1 = var->p.grp_data.n_groups - 1;
- const double df2 = totals->n - var->p.grp_data.n_groups ;
+ const double df1 = gp->n_groups - 1;
+ const double df2 = totals->n - gp->n_groups ;
tab_text (t, 0, v + 1, TAB_LEFT | TAT_TITLE, s);
- F = var->p.grp_data.levene;
+ F = gp->levene;
tab_float (t, 1, v + 1, TAB_RIGHT, F, 8,3);
tab_float (t, 2, v + 1, TAB_RIGHT, df1 ,8,0);
tab_float (t, 3, v + 1, TAB_RIGHT, df2 ,8,0);
int ci;
double contrast_value = 0.0;
double coef_msq = 0.0;
- struct group_proc *grp_data = &vars[v]->p.grp_data ;
+ struct group_proc *grp_data = group_proc_get (vars[v]);
struct hsh_table *group_hash = grp_data->group_hash;
struct hsh_iterator g;
struct group_statistics *gs;
cmd.sbc_contrast,
TAB_RIGHT, contrast_value, 8,2);
- std_error_contrast = sqrt(vars[v]->p.grp_data.mse * coef_msq);
+ std_error_contrast = sqrt(grp_data->mse * coef_msq);
/* Std. Error */
tab_float (t, 4, (v * lines_per_variable) + i + 1,
for(i=0; i< n_vars ; ++i)
{
- struct group_statistics *totals = &vars[i]->p.grp_data.ugs;
+ struct group_proc *gp = group_proc_get (vars[i]);
+ struct group_statistics *totals = &gp->ugs;
/* Create a hash for each of the dependent variables.
The hash contains a group_statistics structure,
and is keyed by value of the independent variable */
- vars[i]->p.grp_data.group_hash =
+ gp->group_hash =
hsh_create(4,
(hsh_compare_func *) compare_group,
(hsh_hash_func *) hash_group,
const union value *val = case_data (&c, v->fv);
- struct hsh_table *group_hash = vars[i]->p.grp_data.group_hash;
+ struct group_proc *gp = group_proc_get (vars[i]);
+ struct hsh_table *group_hash = gp->group_hash;
struct group_statistics *gs;
if (! value_is_missing(val,v) )
{
- struct group_statistics *totals = &vars[i]->p.grp_data.ugs;
+ struct group_statistics *totals = &gp->ugs;
totals->n+=weight;
totals->sum+=weight * val->f;
gs->maximum = val->f * weight;
}
- vars[i]->p.grp_data.n_groups = hsh_count ( group_hash );
+ gp->n_groups = hsh_count ( group_hash );
}
}
for(i = 0; i < n_vars ; ++i)
{
- struct hsh_table *group_hash = vars[i]->p.grp_data.group_hash;
- struct group_statistics *totals = &vars[i]->p.grp_data.ugs;
+ struct group_proc *gp = group_proc_get (vars[i]);
+ struct hsh_table *group_hash = gp->group_hash;
+ struct group_statistics *totals = &gp->ugs;
struct hsh_iterator g;
struct group_statistics *gs;