/* PSPP - One way ANOVA. -*-c-*-
- Copyright (C) 1997-9, 2000 Free Software Foundation, Inc.
- Author: John Darrington 2004
+Copyright (C) 1997-9, 2000 Free Software Foundation, Inc.
+Author: John Darrington 2004
- This program is free software; you can redistribute it and/or
- modify it under the terms of the GNU General Public License as
- published by the Free Software Foundation; either version 2 of the
- License, or (at your option) any later version.
+This program is free software; you can redistribute it and/or
+modify it under the terms of the GNU General Public License as
+published by the Free Software Foundation; either version 2 of the
+License, or (at your option) any later version.
- This program is distributed in the hope that it will be useful, but
- WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- General Public License for more details.
+This program is distributed in the hope that it will be useful, but
+WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+General Public License for more details.
- You should have received a copy of the GNU General Public License
- along with this program; if not, write to the Free Software
- Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
- 02111-1307, USA. */
+You should have received a copy of the GNU General Public License
+along with this program; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
+02110-1301, USA. */
#include <config.h>
#include <gsl/gsl_cdf.h>
#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;
- +missing=miss:!analysis/listwise,
- incl:include/!exclude;
- contrast= double list;
- statistics[st_]=descriptives,homogeneity.
+ *^variables=custom;
+ +missing=miss:!analysis/listwise,
+ incl:include/!exclude;
+ contrast= double list;
+ statistics[st_]=descriptives,homogeneity.
*/
/* (declarations) */
/* (functions) */
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;
for (gs = hsh_first (group_hash,&g);
gs != 0;
gs = hsh_next(group_hash,&g))
- {
- ssa += (gs->sum * gs->sum)/gs->n;
- }
+ {
+ ssa += (gs->sum * gs->sum)/gs->n;
+ }
ssa -= ( totals->sum * totals->sum ) / totals->n ;
- const char *s = (vars[i]->label) ? vars[i]->label : vars[i]->name;
-
+ const char *s = var_to_string(vars[i]);
tab_text (t, 0, i * 3 + 1, TAB_LEFT | TAT_TITLE, s);
tab_text (t, 1, i * 3 + 1, TAB_LEFT | TAT_TITLE, _("Between Groups"));
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 ;
- char *s = (vars[v]->label) ? vars[v]->label : vars[v]->name;
+ 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_text (t, 1, row + count,
- TAB_LEFT | TAT_TITLE ,_("Total"));
+ TAB_LEFT | TAT_TITLE ,_("Total"));
tab_float (t, 2, row + count, 0, totals->n, 8,0);
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 char *s = (var->label) ? var->label : var->name;
- const struct group_statistics *totals = &var->p.grp_data.ugs;
+ const struct group_proc *gp = group_proc_get (vars[v]);
+ const char *s = var_to_string(var);
+ 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);
static void
show_contrast_coeffs(short *bad_contrast)
{
- char *s;
int n_cols = 2 + ostensible_number_of_groups;
int n_rows = 2 + cmd.sbc_contrast;
struct hsh_iterator g;
tab_text (t, 0, 2, TAB_LEFT | TAT_TITLE, _("Contrast"));
- s = (indep_var->label) ? indep_var->label : indep_var->name;
- tab_joint_text (t, 2, 0, n_cols - 1, 0, TAB_CENTER | TAT_TITLE, s);
+
+ tab_joint_text (t, 2, 0, n_cols - 1, 0, TAB_CENTER | TAT_TITLE,
+ var_to_string(indep_var));
for (group_value = hsh_first (global_group_hash,&g);
group_value != 0;
group_value = hsh_next(global_group_hash,&g))
{
int i;
- char *lab;
-
- lab = val_labs_find(indep_var->val_labs,*group_value);
-
- if ( lab )
- tab_text (t, count + 2, 1,
- TAB_CENTER | TAT_TITLE ,lab);
- else
- tab_text (t, count + 2, 1,
- TAB_CENTER | TAT_TITLE | TAT_PRINTF, "%g", group_value->f);
+ tab_text (t, count + 2, 1, TAB_CENTER | TAT_TITLE,
+ value_to_string(group_value,indep_var));
for (i = 0 ; i < cmd.sbc_contrast ; ++i )
{
tab_text (t, 0, (v * lines_per_variable) + 1, TAB_LEFT | TAT_TITLE,
- vars[v]->label?vars[v]->label:vars[v]->name);
-
-
+ var_to_string(vars[v]));
for ( i = 0 ; i < cmd.sbc_contrast ; ++i )
{
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;
\frac{\left(\sum_{i=1}^k{c_i^2\frac{s_i^2}{n_i}}\right)^2}
{
\sum_{i=1}^k\left(
- \frac{\left(c_i^2\frac{s_i^2}{n_i}\right)^2} {n_i-1}
+ \frac{\left(c_i^2\frac{s_i^2}{n_i}\right)^2} {n_i-1}
\right)
}
*/
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,
/* Deal with missing values */
if ( value_is_missing(indep_val,indep_var) )
- continue;
+ continue;
/* Skip the entire case if /MISSING=LISTWISE is set */
if ( cmd->miss == ONEWAY_LISTWISE )
const union value *val = case_data (&c, v->fv);
if (value_is_missing(val,v) )
- break;
+ break;
}
if ( i != n_vars )
- continue;
+ continue;
}
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;
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