/* Structures and Functions for the Statistics Summary Box */
struct ssbox;
-typedef void populate_ssbox_func(struct ssbox *ssb,
+typedef void populate_ssbox_func (struct ssbox *ssb,
struct cmd_t_test *cmd);
-typedef void finalize_ssbox_func(struct ssbox *ssb);
+typedef void finalize_ssbox_func (struct ssbox *ssb);
struct ssbox
{
};
/* Create a ssbox */
-void ssbox_create(struct ssbox *ssb, struct cmd_t_test *cmd, int mode);
+void ssbox_create (struct ssbox *ssb, struct cmd_t_test *cmd, int mode);
/* Populate a ssbox according to cmd */
-void ssbox_populate(struct ssbox *ssb, struct cmd_t_test *cmd);
+void ssbox_populate (struct ssbox *ssb, struct cmd_t_test *cmd);
/* Submit and destroy a ssbox */
-void ssbox_finalize(struct ssbox *ssb);
+void ssbox_finalize (struct ssbox *ssb);
/* A function to create, populate and submit the Paired Samples Correlation
box */
-void pscbox(void);
+void pscbox (void);
/* Structures and Functions for the Test Results Box */
struct trbox;
-typedef void populate_trbox_func(struct trbox *trb,
+typedef void populate_trbox_func (struct trbox *trb,
struct cmd_t_test *cmd);
-typedef void finalize_trbox_func(struct trbox *trb);
+typedef void finalize_trbox_func (struct trbox *trb);
struct trbox {
struct tab_table *t;
};
/* Create a trbox */
-void trbox_create(struct trbox *trb, struct cmd_t_test *cmd, int mode);
+void trbox_create (struct trbox *trb, struct cmd_t_test *cmd, int mode);
/* Populate a ssbox according to cmd */
-void trbox_populate(struct trbox *trb, struct cmd_t_test *cmd);
+void trbox_populate (struct trbox *trb, struct cmd_t_test *cmd);
/* Submit and destroy a ssbox */
-void trbox_finalize(struct trbox *trb);
+void trbox_finalize (struct trbox *trb);
/* Which mode was T-TEST invoked */
enum {
static void group_postcalc (struct cmd_t_test *);
-static void calculate(struct cmd_t_test *,
+static void calculate (struct cmd_t_test *,
struct casereader *,
const struct dataset *);
static bool bad_weight_warn = false;
-static int compare_group_binary(const struct group_statistics *a,
+static int compare_group_binary (const struct group_statistics *a,
const struct group_statistics *b,
const struct group_properties *p);
-static unsigned hash_group_binary(const struct group_statistics *g,
+static unsigned hash_group_binary (const struct group_statistics *g,
const struct group_properties *p);
if ( m != 1)
{
- msg(SE,
- _("TESTVAL, GROUPS and PAIRS subcommands are mutually exclusive.")
+ msg (SE,
+ _ ("TESTVAL, GROUPS and PAIRS subcommands are mutually exclusive.")
);
- free_t_test(&cmd);
+ free_t_test (&cmd);
return CMD_FAILURE;
}
}
{
if (cmd.sbc_variables)
{
- msg(SE, _("VARIABLES subcommand is not appropriate with PAIRS"));
- free_t_test(&cmd);
+ msg (SE, _ ("VARIABLES subcommand is not appropriate with PAIRS"));
+ free_t_test (&cmd);
return CMD_FAILURE;
}
else
const_hsh_insert (hash, pairs[i].v[1]);
}
- assert(cmd.n_variables == 0);
+ assert (cmd.n_variables == 0);
cmd.n_variables = const_hsh_count (hash);
cmd.v_variables = xnrealloc (cmd.v_variables, cmd.n_variables,
v != 0;
v = const_hsh_next (hash, &hi) )
cmd.v_variables[i++]=v;
- const_hsh_destroy(hash);
+ const_hsh_destroy (hash);
}
}
else if ( !cmd.sbc_variables)
{
- msg(SE, _("One or more VARIABLES must be specified."));
- free_t_test(&cmd);
+ msg (SE, _ ("One or more VARIABLES must be specified."));
+ free_t_test (&cmd);
return CMD_FAILURE;
}
ok = proc_commit (ds) && ok;
n_pairs=0;
- free(pairs);
+ free (pairs);
pairs=0;
if ( mode == T_IND_SAMPLES)
}
}
- free_t_test(&cmd);
+ free_t_test (&cmd);
return ok ? CMD_SUCCESS : CMD_CASCADING_FAILURE;
}
if (var_is_long_string (indep_var))
{
- msg (SE, _("Long string variable %s is not valid here."),
+ msg (SE, _ ("Long string variable %s is not valid here."),
var_get_name (indep_var));
return 0;
}
}
else
{
- msg (SE, _("When applying GROUPS to a string variable, two "
+ msg (SE, _ ("When applying GROUPS to a string variable, two "
"values must be specified."));
return 0;
}
{
if (var_is_alpha (indep_var))
{
- msg (SE, _("When applying GROUPS to a string variable, two "
+ msg (SE, _ ("When applying GROUPS to a string variable, two "
"values must be specified."));
return 0;
}
if (n_before_WITH != n_after_WITH)
{
free (vars);
- msg (SE, _("PAIRED was specified but the number of variables "
+ msg (SE, _ ("PAIRED was specified but the number of variables "
"preceding WITH (%zu) did not match the number "
"following (%zu)."),
n_before_WITH, n_after_WITH);
if (n_vars < 2)
{
free (vars);
- msg (SE, _("At least two variables must be specified "
+ msg (SE, _ ("At least two variables must be specified "
"on PAIRS."));
return 0;
}
{
int i;
- assert(n_pairs_local == n_vars / 2);
+ assert (n_pairs_local == n_vars / 2);
for (i = 0; i < n_pairs_local; ++i)
{
pairs[i].v[n_pairs] = vars[i];
int i,j;
size_t p = n_pairs;
- for(i=0 ; i < n_before_WITH ; ++i )
+ for (i=0 ; i < n_before_WITH ; ++i )
{
- for(j=0 ; j < n_after_WITH ; ++j)
+ for (j=0 ; j < n_after_WITH ; ++j)
{
pairs[p].v[0] = vars[i];
pairs[p].v[1] = vars[j+n_before_WITH];
size_t i,j;
size_t p=n_pairs;
- for(i=0 ; i < n_vars ; ++i )
+ for (i=0 ; i < n_vars ; ++i )
{
- for(j=i+1 ; j < n_vars ; ++j)
+ for (j=i+1 ; j < n_vars ; ++j)
{
pairs[p].v[0] = vars[i];
pairs[p].v[1] = vars[j];
/* Implementation of the SSBOX object */
-void ssbox_base_init(struct ssbox *this, int cols,int rows);
+void ssbox_base_init (struct ssbox *this, int cols,int rows);
-void ssbox_base_finalize(struct ssbox *ssb);
+void ssbox_base_finalize (struct ssbox *ssb);
-void ssbox_one_sample_init(struct ssbox *this,
+void ssbox_one_sample_init (struct ssbox *this,
struct cmd_t_test *cmd );
-void ssbox_independent_samples_init(struct ssbox *this,
+void ssbox_independent_samples_init (struct ssbox *this,
struct cmd_t_test *cmd);
-void ssbox_paired_init(struct ssbox *this,
+void ssbox_paired_init (struct ssbox *this,
struct cmd_t_test *cmd);
/* Factory to create an ssbox */
void
-ssbox_create(struct ssbox *ssb, struct cmd_t_test *cmd, int mode)
+ssbox_create (struct ssbox *ssb, struct cmd_t_test *cmd, int mode)
{
switch (mode)
{
case T_1_SAMPLE:
- ssbox_one_sample_init(ssb,cmd);
+ ssbox_one_sample_init (ssb,cmd);
break;
case T_IND_SAMPLES:
- ssbox_independent_samples_init(ssb,cmd);
+ ssbox_independent_samples_init (ssb,cmd);
break;
case T_PAIRED:
- ssbox_paired_init(ssb,cmd);
+ ssbox_paired_init (ssb,cmd);
break;
default:
NOT_REACHED ();
/* Despatcher for the populate method */
void
-ssbox_populate(struct ssbox *ssb,struct cmd_t_test *cmd)
+ssbox_populate (struct ssbox *ssb,struct cmd_t_test *cmd)
{
- ssb->populate(ssb,cmd);
+ ssb->populate (ssb,cmd);
}
/* Despatcher for finalize */
void
-ssbox_finalize(struct ssbox *ssb)
+ssbox_finalize (struct ssbox *ssb)
{
- ssb->finalize(ssb);
+ ssb->finalize (ssb);
}
/* Submit the box and clear up */
void
-ssbox_base_finalize(struct ssbox *ssb)
+ssbox_base_finalize (struct ssbox *ssb)
{
- tab_submit(ssb->t);
+ tab_submit (ssb->t);
}
/* Initialize a ssbox struct */
void
-ssbox_base_init(struct ssbox *this, int cols,int rows)
+ssbox_base_init (struct ssbox *this, int cols,int rows)
{
this->finalize = ssbox_base_finalize;
this->t = tab_create (cols, rows, 0);
tab_columns (this->t, SOM_COL_DOWN, 1);
tab_headers (this->t,0,0,1,0);
tab_box (this->t, TAL_2, TAL_2, TAL_0, TAL_1, 0, 0, cols -1, rows -1 );
- tab_hline(this->t, TAL_2,0,cols-1,1);
+ tab_hline (this->t, TAL_2,0,cols-1,1);
tab_dim (this->t, tab_natural_dimensions);
}
-void ssbox_one_sample_populate(struct ssbox *ssb,
+void ssbox_one_sample_populate (struct ssbox *ssb,
struct cmd_t_test *cmd);
/* Initialize the one_sample ssbox */
void
-ssbox_one_sample_init(struct ssbox *this,
+ssbox_one_sample_init (struct ssbox *this,
struct cmd_t_test *cmd )
{
const int hsize=5;
this->populate = ssbox_one_sample_populate;
- ssbox_base_init(this, hsize,vsize);
- tab_title (this->t, _("One-Sample Statistics"));
- tab_vline(this->t, TAL_2, 1,0,vsize - 1);
- tab_text (this->t, 1, 0, TAB_CENTER | TAT_TITLE, _("N"));
- tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _("Mean"));
- tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _("Std. Deviation"));
- tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _("SE. Mean"));
+ ssbox_base_init (this, hsize,vsize);
+ tab_title (this->t, _ ("One-Sample Statistics"));
+ tab_vline (this->t, TAL_2, 1,0,vsize - 1);
+ tab_text (this->t, 1, 0, TAB_CENTER | TAT_TITLE, _ ("N"));
+ tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _ ("Mean"));
+ tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _ ("Std. Deviation"));
+ tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _ ("SE. Mean"));
}
-void ssbox_independent_samples_populate(struct ssbox *ssb,
+void ssbox_independent_samples_populate (struct ssbox *ssb,
struct cmd_t_test *cmd);
/* Initialize the independent samples ssbox */
void
-ssbox_independent_samples_init(struct ssbox *this,
+ssbox_independent_samples_init (struct ssbox *this,
struct cmd_t_test *cmd)
{
int hsize=6;
this->populate = ssbox_independent_samples_populate;
- ssbox_base_init(this, hsize,vsize);
+ ssbox_base_init (this, hsize,vsize);
tab_vline (this->t, TAL_GAP, 1, 0,vsize - 1);
- tab_title (this->t, _("Group Statistics"));
+ tab_title (this->t, _ ("Group Statistics"));
tab_text (this->t, 1, 0, TAB_CENTER | TAT_TITLE, var_get_name (indep_var));
- tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _("N"));
- tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _("Mean"));
- tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _("Std. Deviation"));
- tab_text (this->t, 5, 0, TAB_CENTER | TAT_TITLE, _("SE. Mean"));
+ tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _ ("N"));
+ tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _ ("Mean"));
+ tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _ ("Std. Deviation"));
+ tab_text (this->t, 5, 0, TAB_CENTER | TAT_TITLE, _ ("SE. Mean"));
}
/* Populate the ssbox for independent samples */
void
-ssbox_independent_samples_populate(struct ssbox *ssb,
+ssbox_independent_samples_populate (struct ssbox *ssb,
struct cmd_t_test *cmd)
{
int i;
if (gp.criterion == CMP_LE )
{
- strcpy(prefix[0],">=");
- strcpy(prefix[1],"<");
+ strcpy (prefix[0],">=");
+ strcpy (prefix[1],"<");
indep_value[0] = gp.v.critical_value;
indep_value[1] = gp.v.critical_value;
}
indep_value[1] = gp.v.g_value[1].f;
}
- assert(ssb->t);
+ assert (ssb->t);
for (i=0; i < cmd->n_variables; ++i)
{
search_val = gp.v.g_value[count];
}
- gs = hsh_find(grp_hash, (void *) &search_val);
- assert(gs);
+ gs = hsh_find (grp_hash, (void *) &search_val);
+ assert (gs);
- tab_float(ssb->t, 2 ,i*2+count+1, TAB_RIGHT, gs->n, 10, 0);
- tab_float(ssb->t, 3 ,i*2+count+1, TAB_RIGHT, gs->mean, 8, 2);
- tab_float(ssb->t, 4 ,i*2+count+1, TAB_RIGHT, gs->std_dev, 8, 3);
- tab_float(ssb->t, 5 ,i*2+count+1, TAB_RIGHT, gs->se_mean, 8, 3);
+ tab_float (ssb->t, 2 ,i*2+count+1, TAB_RIGHT, gs->n, 10, 0);
+ tab_float (ssb->t, 3 ,i*2+count+1, TAB_RIGHT, gs->mean, 8, 2);
+ tab_float (ssb->t, 4 ,i*2+count+1, TAB_RIGHT, gs->std_dev, 8, 3);
+ tab_float (ssb->t, 5 ,i*2+count+1, TAB_RIGHT, gs->se_mean, 8, 3);
}
}
}
-void ssbox_paired_populate(struct ssbox *ssb,
+void ssbox_paired_populate (struct ssbox *ssb,
struct cmd_t_test *cmd);
/* Initialize the paired values ssbox */
void
-ssbox_paired_init(struct ssbox *this, struct cmd_t_test *cmd UNUSED)
+ssbox_paired_init (struct ssbox *this, struct cmd_t_test *cmd UNUSED)
{
int hsize=6;
this->populate = ssbox_paired_populate;
- ssbox_base_init(this, hsize,vsize);
- tab_title (this->t, _("Paired Sample Statistics"));
- tab_vline(this->t,TAL_GAP,1,0,vsize-1);
- tab_vline(this->t,TAL_2,2,0,vsize-1);
- tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _("Mean"));
- tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _("N"));
- tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _("Std. Deviation"));
- tab_text (this->t, 5, 0, TAB_CENTER | TAT_TITLE, _("SE. Mean"));
+ ssbox_base_init (this, hsize,vsize);
+ tab_title (this->t, _ ("Paired Sample Statistics"));
+ tab_vline (this->t,TAL_GAP,1,0,vsize-1);
+ tab_vline (this->t,TAL_2,2,0,vsize-1);
+ tab_text (this->t, 2, 0, TAB_CENTER | TAT_TITLE, _ ("Mean"));
+ tab_text (this->t, 3, 0, TAB_CENTER | TAT_TITLE, _ ("N"));
+ tab_text (this->t, 4, 0, TAB_CENTER | TAT_TITLE, _ ("Std. Deviation"));
+ tab_text (this->t, 5, 0, TAB_CENTER | TAT_TITLE, _ ("SE. Mean"));
}
/* Populate the ssbox for paired values */
void
-ssbox_paired_populate(struct ssbox *ssb,struct cmd_t_test *cmd UNUSED)
+ssbox_paired_populate (struct ssbox *ssb,struct cmd_t_test *cmd UNUSED)
{
int i;
- assert(ssb->t);
+ assert (ssb->t);
for (i=0; i < n_pairs; ++i)
{
int j;
- tab_text (ssb->t, 0, i*2+1, TAB_LEFT | TAT_PRINTF , _("Pair %d"),i);
+ tab_text (ssb->t, 0, i*2+1, TAB_LEFT | TAT_PRINTF , _ ("Pair %d"),i);
for (j=0 ; j < 2 ; ++j)
{
tab_float (ssb->t,2, i*2+j+1, TAB_RIGHT, pairs[i].mean[j], 8, 2);
tab_float (ssb->t,3, i*2+j+1, TAB_RIGHT, pairs[i].n, 10, 0);
tab_float (ssb->t,4, i*2+j+1, TAB_RIGHT, pairs[i].std_dev[j], 8, 3);
- tab_float (ssb->t,5, i*2+j+1, TAB_RIGHT, pairs[i].std_dev[j]/sqrt(pairs[i].n), 8, 3);
+ tab_float (ssb->t,5, i*2+j+1, TAB_RIGHT, pairs[i].std_dev[j]/sqrt (pairs[i].n), 8, 3);
}
}
/* Populate the one sample ssbox */
void
-ssbox_one_sample_populate(struct ssbox *ssb, struct cmd_t_test *cmd)
+ssbox_one_sample_populate (struct ssbox *ssb, struct cmd_t_test *cmd)
{
int i;
- assert(ssb->t);
+ assert (ssb->t);
for (i=0; i < cmd->n_variables; ++i)
{
/* Implementation of the Test Results box struct */
-void trbox_base_init(struct trbox *self,size_t n_vars, int cols);
-void trbox_base_finalize(struct trbox *trb);
+void trbox_base_init (struct trbox *self,size_t n_vars, int cols);
+void trbox_base_finalize (struct trbox *trb);
-void trbox_independent_samples_init(struct trbox *trb,
+void trbox_independent_samples_init (struct trbox *trb,
struct cmd_t_test *cmd );
-void trbox_independent_samples_populate(struct trbox *trb,
+void trbox_independent_samples_populate (struct trbox *trb,
struct cmd_t_test *cmd);
-void trbox_one_sample_init(struct trbox *self,
+void trbox_one_sample_init (struct trbox *self,
struct cmd_t_test *cmd );
-void trbox_one_sample_populate(struct trbox *trb,
+void trbox_one_sample_populate (struct trbox *trb,
struct cmd_t_test *cmd);
-void trbox_paired_init(struct trbox *self,
+void trbox_paired_init (struct trbox *self,
struct cmd_t_test *cmd );
-void trbox_paired_populate(struct trbox *trb,
+void trbox_paired_populate (struct trbox *trb,
struct cmd_t_test *cmd);
/* Create a trbox according to mode*/
void
-trbox_create(struct trbox *trb,
+trbox_create (struct trbox *trb,
struct cmd_t_test *cmd, int mode)
{
switch (mode)
{
case T_1_SAMPLE:
- trbox_one_sample_init(trb,cmd);
+ trbox_one_sample_init (trb,cmd);
break;
case T_IND_SAMPLES:
- trbox_independent_samples_init(trb,cmd);
+ trbox_independent_samples_init (trb,cmd);
break;
case T_PAIRED:
- trbox_paired_init(trb,cmd);
+ trbox_paired_init (trb,cmd);
break;
default:
NOT_REACHED ();
/* Populate a trbox according to cmd */
void
-trbox_populate(struct trbox *trb, struct cmd_t_test *cmd)
+trbox_populate (struct trbox *trb, struct cmd_t_test *cmd)
{
- trb->populate(trb,cmd);
+ trb->populate (trb,cmd);
}
/* Submit and destroy a trbox */
void
-trbox_finalize(struct trbox *trb)
+trbox_finalize (struct trbox *trb)
{
- trb->finalize(trb);
+ trb->finalize (trb);
}
/* Initialize the independent samples trbox */
void
-trbox_independent_samples_init(struct trbox *self,
+trbox_independent_samples_init (struct trbox *self,
struct cmd_t_test *cmd UNUSED)
{
const int hsize=11;
const int vsize=cmd->n_variables*2+3;
- assert(self);
+ assert (self);
self->populate = trbox_independent_samples_populate;
- trbox_base_init(self,cmd->n_variables*2,hsize);
- tab_title(self->t,_("Independent Samples Test"));
- tab_hline(self->t,TAL_1,2,hsize-1,1);
- tab_vline(self->t,TAL_2,2,0,vsize-1);
- tab_vline(self->t,TAL_1,4,0,vsize-1);
- tab_box(self->t,-1,-1,-1,TAL_1, 2,1,hsize-2,vsize-1);
- tab_hline(self->t,TAL_1, hsize-2,hsize-1,2);
- tab_box(self->t,-1,-1,-1,TAL_1, hsize-2,2,hsize-1,vsize-1);
- tab_joint_text(self->t, 2, 0, 3, 0,
- TAB_CENTER,_("Levene's Test for Equality of Variances"));
- tab_joint_text(self->t, 4,0,hsize-1,0,
- TAB_CENTER,_("t-test for Equality of Means"));
-
- tab_text(self->t,2,2, TAB_CENTER | TAT_TITLE,_("F"));
- tab_text(self->t,3,2, TAB_CENTER | TAT_TITLE,_("Sig."));
- tab_text(self->t,4,2, TAB_CENTER | TAT_TITLE,_("t"));
- tab_text(self->t,5,2, TAB_CENTER | TAT_TITLE,_("df"));
- tab_text(self->t,6,2, TAB_CENTER | TAT_TITLE,_("Sig. (2-tailed)"));
- tab_text(self->t,7,2, TAB_CENTER | TAT_TITLE,_("Mean Difference"));
- tab_text(self->t,8,2, TAB_CENTER | TAT_TITLE,_("Std. Error Difference"));
- tab_text(self->t,9,2, TAB_CENTER | TAT_TITLE,_("Lower"));
- tab_text(self->t,10,2, TAB_CENTER | TAT_TITLE,_("Upper"));
-
- tab_joint_text(self->t, 9, 1, 10, 1, TAB_CENTER | TAT_PRINTF,
- _("%g%% Confidence Interval of the Difference"),
+ trbox_base_init (self,cmd->n_variables*2,hsize);
+ tab_title (self->t,_ ("Independent Samples Test"));
+ tab_hline (self->t,TAL_1,2,hsize-1,1);
+ tab_vline (self->t,TAL_2,2,0,vsize-1);
+ tab_vline (self->t,TAL_1,4,0,vsize-1);
+ tab_box (self->t,-1,-1,-1,TAL_1, 2,1,hsize-2,vsize-1);
+ tab_hline (self->t,TAL_1, hsize-2,hsize-1,2);
+ tab_box (self->t,-1,-1,-1,TAL_1, hsize-2,2,hsize-1,vsize-1);
+ tab_joint_text (self->t, 2, 0, 3, 0,
+ TAB_CENTER,_ ("Levene's Test for Equality of Variances"));
+ tab_joint_text (self->t, 4,0,hsize-1,0,
+ TAB_CENTER,_ ("t-test for Equality of Means"));
+
+ tab_text (self->t,2,2, TAB_CENTER | TAT_TITLE,_ ("F"));
+ tab_text (self->t,3,2, TAB_CENTER | TAT_TITLE,_ ("Sig."));
+ tab_text (self->t,4,2, TAB_CENTER | TAT_TITLE,_ ("t"));
+ tab_text (self->t,5,2, TAB_CENTER | TAT_TITLE,_ ("df"));
+ tab_text (self->t,6,2, TAB_CENTER | TAT_TITLE,_ ("Sig. (2-tailed)"));
+ tab_text (self->t,7,2, TAB_CENTER | TAT_TITLE,_ ("Mean Difference"));
+ tab_text (self->t,8,2, TAB_CENTER | TAT_TITLE,_ ("Std. Error Difference"));
+ tab_text (self->t,9,2, TAB_CENTER | TAT_TITLE,_ ("Lower"));
+ tab_text (self->t,10,2, TAB_CENTER | TAT_TITLE,_ ("Upper"));
+
+ tab_joint_text (self->t, 9, 1, 10, 1, TAB_CENTER | TAT_PRINTF,
+ _ ("%g%% Confidence Interval of the Difference"),
cmd->criteria*100.0);
}
/* Populate the independent samples trbox */
void
-trbox_independent_samples_populate(struct trbox *self,
+trbox_independent_samples_populate (struct trbox *self,
struct cmd_t_test *cmd )
{
int i;
- assert(self);
+ assert (self);
for (i=0; i < cmd->n_variables; ++i)
{
double p,q;
else
search_val = gp.v.g_value[0];
- gs0 = hsh_find(grp_hash, (void *) &search_val);
- assert(gs0);
+ gs0 = hsh_find (grp_hash, (void *) &search_val);
+ assert (gs0);
if ( gp.criterion == CMP_LE )
search_val.f = gp.v.critical_value + 1.0;
else
search_val = gp.v.g_value[1];
- gs1 = hsh_find(grp_hash, (void *) &search_val);
- assert(gs1);
+ gs1 = hsh_find (grp_hash, (void *) &search_val);
+ assert (gs1);
tab_text (self->t, 0, i*2+3, TAB_LEFT, var_get_name (cmd->v_variables[i]));
- tab_text (self->t, 1, i*2+3, TAB_LEFT, _("Equal variances assumed"));
+ tab_text (self->t, 1, i*2+3, TAB_LEFT, _ ("Equal variances assumed"));
- tab_float(self->t, 2, i*2+3, TAB_CENTER, grp_data->levene, 8,3);
+ tab_float (self->t, 2, i*2+3, TAB_CENTER, grp_data->levene, 8,3);
/* Now work out the significance of the Levene test */
df1 = 1; df2 = grp_data->ugs.n - 2;
- q = gsl_cdf_fdist_Q(grp_data->levene, df1, df2);
+ q = gsl_cdf_fdist_Q (grp_data->levene, df1, df2);
- tab_float(self->t, 3, i*2+3, TAB_CENTER, q, 8,3 );
+ tab_float (self->t, 3, i*2+3, TAB_CENTER, q, 8,3 );
df = gs0->n + gs1->n - 2.0 ;
tab_float (self->t, 5, i*2+3, TAB_RIGHT, df, 10, 0);
- pooled_variance = ( (gs0->n )*pow2(gs0->s_std_dev)
+ pooled_variance = ( (gs0->n )*pow2 (gs0->s_std_dev)
+
- (gs1->n )*pow2(gs1->s_std_dev)
+ (gs1->n )*pow2 (gs1->s_std_dev)
) / df ;
- t = (gs0->mean - gs1->mean) / sqrt(pooled_variance) ;
- t /= sqrt((gs0->n + gs1->n)/(gs0->n*gs1->n));
+ t = (gs0->mean - gs1->mean) / sqrt (pooled_variance) ;
+ t /= sqrt ((gs0->n + gs1->n)/ (gs0->n*gs1->n));
tab_float (self->t, 4, i*2+3, TAB_RIGHT, t, 8, 3);
- p = gsl_cdf_tdist_P(t, df);
- q = gsl_cdf_tdist_Q(t, df);
+ p = gsl_cdf_tdist_P (t, df);
+ q = gsl_cdf_tdist_Q (t, df);
- tab_float(self->t, 6, i*2+3, TAB_RIGHT, 2.0*(t>0?q:p) , 8, 3);
+ tab_float (self->t, 6, i*2+3, TAB_RIGHT, 2.0* (t>0?q:p) , 8, 3);
mean_diff = gs0->mean - gs1->mean;
- tab_float(self->t, 7, i*2+3, TAB_RIGHT, mean_diff, 8, 3);
+ tab_float (self->t, 7, i*2+3, TAB_RIGHT, mean_diff, 8, 3);
- std_err_diff = sqrt( pow2(gs0->se_mean) + pow2(gs1->se_mean));
- tab_float(self->t, 8, i*2+3, TAB_RIGHT, std_err_diff, 8, 3);
+ std_err_diff = sqrt ( pow2 (gs0->se_mean) + pow2 (gs1->se_mean));
+ tab_float (self->t, 8, i*2+3, TAB_RIGHT, std_err_diff, 8, 3);
/* Now work out the confidence interval */
q = (1 - cmd->criteria)/2.0; /* 2-tailed test */
- t = gsl_cdf_tdist_Qinv(q,df);
- tab_float(self->t, 9, i*2+3, TAB_RIGHT,
+ t = gsl_cdf_tdist_Qinv (q,df);
+ tab_float (self->t, 9, i*2+3, TAB_RIGHT,
mean_diff - t * std_err_diff, 8, 3);
- tab_float(self->t, 10, i*2+3, TAB_RIGHT,
+ tab_float (self->t, 10, i*2+3, TAB_RIGHT,
mean_diff + t * std_err_diff, 8, 3);
double se2;
/* Now for the \sigma_1 != \sigma_2 case */
tab_text (self->t, 1, i*2+3+1,
- TAB_LEFT, _("Equal variances not assumed"));
+ TAB_LEFT, _ ("Equal variances not assumed"));
- se2 = (pow2(gs0->s_std_dev)/(gs0->n -1) ) +
- (pow2(gs1->s_std_dev)/(gs1->n -1) );
+ se2 = (pow2 (gs0->s_std_dev)/ (gs0->n -1) ) +
+ (pow2 (gs1->s_std_dev)/ (gs1->n -1) );
- t = mean_diff / sqrt(se2) ;
+ t = mean_diff / sqrt (se2) ;
tab_float (self->t, 4, i*2+3+1, TAB_RIGHT, t, 8, 3);
- df = pow2(se2) / (
- (pow2(pow2(gs0->s_std_dev)/(gs0->n - 1 ))
- /(gs0->n -1 )
+ df = pow2 (se2) / (
+ (pow2 (pow2 (gs0->s_std_dev)/ (gs0->n - 1 ))
+ / (gs0->n -1 )
)
+
- (pow2(pow2(gs1->s_std_dev)/(gs1->n - 1 ))
- /(gs1->n -1 )
+ (pow2 (pow2 (gs1->s_std_dev)/ (gs1->n - 1 ))
+ / (gs1->n -1 )
)
) ;
tab_float (self->t, 5, i*2+3+1, TAB_RIGHT, df, 8, 3);
- p = gsl_cdf_tdist_P(t, df);
- q = gsl_cdf_tdist_Q(t, df);
+ p = gsl_cdf_tdist_P (t, df);
+ q = gsl_cdf_tdist_Q (t, df);
- tab_float(self->t, 6, i*2+3+1, TAB_RIGHT, 2.0*(t>0?q:p) , 8, 3);
+ tab_float (self->t, 6, i*2+3+1, TAB_RIGHT, 2.0* (t>0?q:p) , 8, 3);
/* Now work out the confidence interval */
q = (1 - cmd->criteria)/2.0; /* 2-tailed test */
- t = gsl_cdf_tdist_Qinv(q, df);
+ t = gsl_cdf_tdist_Qinv (q, df);
- tab_float(self->t, 7, i*2+3+1, TAB_RIGHT, mean_diff, 8, 3);
+ tab_float (self->t, 7, i*2+3+1, TAB_RIGHT, mean_diff, 8, 3);
- tab_float(self->t, 8, i*2+3+1, TAB_RIGHT, std_err_diff, 8, 3);
+ tab_float (self->t, 8, i*2+3+1, TAB_RIGHT, std_err_diff, 8, 3);
- tab_float(self->t, 9, i*2+3+1, TAB_RIGHT,
+ tab_float (self->t, 9, i*2+3+1, TAB_RIGHT,
mean_diff - t * std_err_diff, 8, 3);
- tab_float(self->t, 10, i*2+3+1, TAB_RIGHT,
+ tab_float (self->t, 10, i*2+3+1, TAB_RIGHT,
mean_diff + t * std_err_diff, 8, 3);
}
/* Initialize the paired samples trbox */
void
-trbox_paired_init(struct trbox *self,
+trbox_paired_init (struct trbox *self,
struct cmd_t_test *cmd UNUSED)
{
self->populate = trbox_paired_populate;
- trbox_base_init(self,n_pairs,hsize);
- tab_title (self->t, _("Paired Samples Test"));
- tab_hline(self->t,TAL_1,2,6,1);
- tab_vline(self->t,TAL_2,2,0,vsize - 1);
- tab_joint_text(self->t,2,0,6,0,TAB_CENTER,_("Paired Differences"));
- tab_box(self->t,-1,-1,-1,TAL_1, 2,1,6,vsize-1);
- tab_box(self->t,-1,-1,-1,TAL_1, 6,0,hsize-1,vsize-1);
- tab_hline(self->t,TAL_1,5,6, 2);
- tab_vline(self->t,TAL_GAP,6,0,1);
-
- tab_joint_text(self->t, 5, 1, 6, 1, TAB_CENTER | TAT_PRINTF,
- _("%g%% Confidence Interval of the Difference"),
+ trbox_base_init (self,n_pairs,hsize);
+ tab_title (self->t, _ ("Paired Samples Test"));
+ tab_hline (self->t,TAL_1,2,6,1);
+ tab_vline (self->t,TAL_2,2,0,vsize - 1);
+ tab_joint_text (self->t,2,0,6,0,TAB_CENTER,_ ("Paired Differences"));
+ tab_box (self->t,-1,-1,-1,TAL_1, 2,1,6,vsize-1);
+ tab_box (self->t,-1,-1,-1,TAL_1, 6,0,hsize-1,vsize-1);
+ tab_hline (self->t,TAL_1,5,6, 2);
+ tab_vline (self->t,TAL_GAP,6,0,1);
+
+ tab_joint_text (self->t, 5, 1, 6, 1, TAB_CENTER | TAT_PRINTF,
+ _ ("%g%% Confidence Interval of the Difference"),
cmd->criteria*100.0);
- tab_text (self->t, 2, 2, TAB_CENTER | TAT_TITLE, _("Mean"));
- tab_text (self->t, 3, 2, TAB_CENTER | TAT_TITLE, _("Std. Deviation"));
- tab_text (self->t, 4, 2, TAB_CENTER | TAT_TITLE, _("Std. Error Mean"));
- tab_text (self->t, 5, 2, TAB_CENTER | TAT_TITLE, _("Lower"));
- tab_text (self->t, 6, 2, TAB_CENTER | TAT_TITLE, _("Upper"));
- tab_text (self->t, 7, 2, TAB_CENTER | TAT_TITLE, _("t"));
- tab_text (self->t, 8, 2, TAB_CENTER | TAT_TITLE, _("df"));
- tab_text (self->t, 9, 2, TAB_CENTER | TAT_TITLE, _("Sig. (2-tailed)"));
+ tab_text (self->t, 2, 2, TAB_CENTER | TAT_TITLE, _ ("Mean"));
+ tab_text (self->t, 3, 2, TAB_CENTER | TAT_TITLE, _ ("Std. Deviation"));
+ tab_text (self->t, 4, 2, TAB_CENTER | TAT_TITLE, _ ("Std. Error Mean"));
+ tab_text (self->t, 5, 2, TAB_CENTER | TAT_TITLE, _ ("Lower"));
+ tab_text (self->t, 6, 2, TAB_CENTER | TAT_TITLE, _ ("Upper"));
+ tab_text (self->t, 7, 2, TAB_CENTER | TAT_TITLE, _ ("t"));
+ tab_text (self->t, 8, 2, TAB_CENTER | TAT_TITLE, _ ("df"));
+ tab_text (self->t, 9, 2, TAB_CENTER | TAT_TITLE, _ ("Sig. (2-tailed)"));
}
/* Populate the paired samples trbox */
void
-trbox_paired_populate(struct trbox *trb,
+trbox_paired_populate (struct trbox *trb,
struct cmd_t_test *cmd UNUSED)
{
int i;
double t;
double df = n - 1;
- tab_text (trb->t, 0, i+3, TAB_LEFT | TAT_PRINTF, _("Pair %d"),i);
+ tab_text (trb->t, 0, i+3, TAB_LEFT | TAT_PRINTF, _ ("Pair %d"),i);
tab_text (trb->t, 1, i+3, TAB_LEFT | TAT_PRINTF, "%s - %s",
var_get_name (pairs[i].v[0]),
var_get_name (pairs[i].v[1]));
- tab_float(trb->t, 2, i+3, TAB_RIGHT, pairs[i].mean_diff, 8, 4);
+ tab_float (trb->t, 2, i+3, TAB_RIGHT, pairs[i].mean_diff, 8, 4);
- tab_float(trb->t, 3, i+3, TAB_RIGHT, pairs[i].std_dev_diff, 8, 5);
+ tab_float (trb->t, 3, i+3, TAB_RIGHT, pairs[i].std_dev_diff, 8, 5);
/* SE Mean */
- se_mean = pairs[i].std_dev_diff / sqrt(n) ;
- tab_float(trb->t, 4, i+3, TAB_RIGHT, se_mean, 8,5 );
+ se_mean = pairs[i].std_dev_diff / sqrt (n) ;
+ tab_float (trb->t, 4, i+3, TAB_RIGHT, se_mean, 8,5 );
/* Now work out the confidence interval */
q = (1 - cmd->criteria)/2.0; /* 2-tailed test */
- t = gsl_cdf_tdist_Qinv(q, df);
+ t = gsl_cdf_tdist_Qinv (q, df);
- tab_float(trb->t, 5, i+3, TAB_RIGHT,
+ tab_float (trb->t, 5, i+3, TAB_RIGHT,
pairs[i].mean_diff - t * se_mean , 8, 4);
- tab_float(trb->t, 6, i+3, TAB_RIGHT,
+ tab_float (trb->t, 6, i+3, TAB_RIGHT,
pairs[i].mean_diff + t * se_mean , 8, 4);
t = (pairs[i].mean[0] - pairs[i].mean[1])
/ sqrt (
- ( pow2 (pairs[i].s_std_dev[0]) + pow2 (pairs[i].s_std_dev[1]) -
+ ( pow2 (pairs[i].s_std_dev[0]) + pow2 (pairs[i].s_std_dev[1]) -
2 * pairs[i].correlation *
pairs[i].s_std_dev[0] * pairs[i].s_std_dev[1] )
/ (n - 1)
);
- tab_float(trb->t, 7, i+3, TAB_RIGHT, t , 8,3 );
+ tab_float (trb->t, 7, i+3, TAB_RIGHT, t , 8,3 );
/* Degrees of freedom */
- tab_float(trb->t, 8, i+3, TAB_RIGHT, df , 10, 0 );
+ tab_float (trb->t, 8, i+3, TAB_RIGHT, df , 10, 0 );
- p = gsl_cdf_tdist_P(t,df);
- q = gsl_cdf_tdist_P(t,df);
+ p = gsl_cdf_tdist_P (t,df);
+ q = gsl_cdf_tdist_P (t,df);
- tab_float(trb->t, 9, i+3, TAB_RIGHT, 2.0*(t>0?q:p) , 8, 3);
+ tab_float (trb->t, 9, i+3, TAB_RIGHT, 2.0* (t>0?q:p) , 8, 3);
}
}
/* Initialize the one sample trbox */
void
-trbox_one_sample_init(struct trbox *self, struct cmd_t_test *cmd )
+trbox_one_sample_init (struct trbox *self, struct cmd_t_test *cmd )
{
const int hsize=7;
const int vsize=cmd->n_variables+3;
self->populate = trbox_one_sample_populate;
- trbox_base_init(self, cmd->n_variables,hsize);
- tab_title (self->t, _("One-Sample Test"));
- tab_hline(self->t, TAL_1, 1, hsize - 1, 1);
- tab_vline(self->t, TAL_2, 1, 0, vsize - 1);
+ trbox_base_init (self, cmd->n_variables,hsize);
+ tab_title (self->t, _ ("One-Sample Test"));
+ tab_hline (self->t, TAL_1, 1, hsize - 1, 1);
+ tab_vline (self->t, TAL_2, 1, 0, vsize - 1);
- tab_joint_text(self->t, 1, 0, hsize-1,0, TAB_CENTER | TAT_PRINTF,
- _("Test Value = %f"), cmd->n_testval[0]);
+ tab_joint_text (self->t, 1, 0, hsize-1,0, TAB_CENTER | TAT_PRINTF,
+ _ ("Test Value = %f"), cmd->n_testval[0]);
- tab_box(self->t, -1, -1, -1, TAL_1, 1,1,hsize-1,vsize-1);
+ tab_box (self->t, -1, -1, -1, TAL_1, 1,1,hsize-1,vsize-1);
- tab_joint_text(self->t,5,1,6,1,TAB_CENTER | TAT_PRINTF,
- _("%g%% Confidence Interval of the Difference"),
+ tab_joint_text (self->t,5,1,6,1,TAB_CENTER | TAT_PRINTF,
+ _ ("%g%% Confidence Interval of the Difference"),
cmd->criteria*100.0);
- tab_vline(self->t,TAL_GAP,6,1,1);
- tab_hline(self->t,TAL_1,5,6,2);
- tab_text (self->t, 1, 2, TAB_CENTER | TAT_TITLE, _("t"));
- tab_text (self->t, 2, 2, TAB_CENTER | TAT_TITLE, _("df"));
- tab_text (self->t, 3, 2, TAB_CENTER | TAT_TITLE, _("Sig. (2-tailed)"));
- tab_text (self->t, 4, 2, TAB_CENTER | TAT_TITLE, _("Mean Difference"));
- tab_text (self->t, 5, 2, TAB_CENTER | TAT_TITLE, _("Lower"));
- tab_text (self->t, 6, 2, TAB_CENTER | TAT_TITLE, _("Upper"));
+ tab_vline (self->t,TAL_GAP,6,1,1);
+ tab_hline (self->t,TAL_1,5,6,2);
+ tab_text (self->t, 1, 2, TAB_CENTER | TAT_TITLE, _ ("t"));
+ tab_text (self->t, 2, 2, TAB_CENTER | TAT_TITLE, _ ("df"));
+ tab_text (self->t, 3, 2, TAB_CENTER | TAT_TITLE, _ ("Sig. (2-tailed)"));
+ tab_text (self->t, 4, 2, TAB_CENTER | TAT_TITLE, _ ("Mean Difference"));
+ tab_text (self->t, 5, 2, TAB_CENTER | TAT_TITLE, _ ("Lower"));
+ tab_text (self->t, 6, 2, TAB_CENTER | TAT_TITLE, _ ("Upper"));
}
/* Populate the one sample trbox */
void
-trbox_one_sample_populate(struct trbox *trb, struct cmd_t_test *cmd)
+trbox_one_sample_populate (struct trbox *trb, struct cmd_t_test *cmd)
{
int i;
- assert(trb->t);
+ assert (trb->t);
for (i=0; i < cmd->n_variables; ++i)
{
tab_text (trb->t, 0, i+3, TAB_LEFT, var_get_name (cmd->v_variables[i]));
- t = (gs->mean - cmd->n_testval[0] ) * sqrt(gs->n) / gs->std_dev ;
+ t = (gs->mean - cmd->n_testval[0] ) * sqrt (gs->n) / gs->std_dev ;
tab_float (trb->t, 1, i+3, TAB_RIGHT, t, 8,3);
tab_float (trb->t, 2, i+3, TAB_RIGHT, df, 8,0);
- p = gsl_cdf_tdist_P(t, df);
- q = gsl_cdf_tdist_Q(t, df);
+ p = gsl_cdf_tdist_P (t, df);
+ q = gsl_cdf_tdist_Q (t, df);
/* Multiply by 2 to get 2-tailed significance, makeing sure we've got
the correct tail*/
- tab_float (trb->t, 3, i+3, TAB_RIGHT, 2.0*(t>0?q:p), 8,3);
+ tab_float (trb->t, 3, i+3, TAB_RIGHT, 2.0* (t>0?q:p), 8,3);
tab_float (trb->t, 4, i+3, TAB_RIGHT, gs->mean_diff, 8,3);
q = (1 - cmd->criteria)/2.0; /* 2-tailed test */
- t = gsl_cdf_tdist_Qinv(q, df);
+ t = gsl_cdf_tdist_Qinv (q, df);
tab_float (trb->t, 5, i+3, TAB_RIGHT,
gs->mean_diff - t * gs->se_mean, 8,4);
/* Base initializer for the generalized trbox */
void
-trbox_base_init(struct trbox *self, size_t data_rows, int cols)
+trbox_base_init (struct trbox *self, size_t data_rows, int cols)
{
const size_t rows = 3 + data_rows;
self->t = tab_create (cols, rows, 0);
tab_headers (self->t,0,0,3,0);
tab_box (self->t, TAL_2, TAL_2, TAL_0, TAL_0, 0, 0, cols -1, rows -1);
- tab_hline(self->t, TAL_2,0,cols-1,3);
+ tab_hline (self->t, TAL_2,0,cols-1,3);
tab_dim (self->t, tab_natural_dimensions);
}
/* Base finalizer for the trbox */
void
-trbox_base_finalize(struct trbox *trb)
+trbox_base_finalize (struct trbox *trb)
{
- tab_submit(trb->t);
+ tab_submit (trb->t);
}
/* Create , populate and submit the Paired Samples Correlation box */
void
-pscbox(void)
+pscbox (void)
{
const int rows=1+n_pairs;
const int cols=5;
tab_columns (table, SOM_COL_DOWN, 1);
tab_headers (table,0,0,1,0);
tab_box (table, TAL_2, TAL_2, TAL_0, TAL_1, 0, 0, cols -1, rows -1 );
- tab_hline(table, TAL_2, 0, cols - 1, 1);
- tab_vline(table, TAL_2, 2, 0, rows - 1);
- tab_dim(table, tab_natural_dimensions);
- tab_title(table, _("Paired Samples Correlations"));
+ tab_hline (table, TAL_2, 0, cols - 1, 1);
+ tab_vline (table, TAL_2, 2, 0, rows - 1);
+ tab_dim (table, tab_natural_dimensions);
+ tab_title (table, _ ("Paired Samples Correlations"));
/* column headings */
- tab_text(table, 2,0, TAB_CENTER | TAT_TITLE, _("N"));
- tab_text(table, 3,0, TAB_CENTER | TAT_TITLE, _("Correlation"));
- tab_text(table, 4,0, TAB_CENTER | TAT_TITLE, _("Sig."));
+ tab_text (table, 2,0, TAB_CENTER | TAT_TITLE, _ ("N"));
+ tab_text (table, 3,0, TAB_CENTER | TAT_TITLE, _ ("Correlation"));
+ tab_text (table, 4,0, TAB_CENTER | TAT_TITLE, _ ("Sig."));
for (i=0; i < n_pairs; ++i)
{
double df = pairs[i].n -2;
double correlation_t =
- pairs[i].correlation * sqrt(df) /
- sqrt(1 - pow2(pairs[i].correlation));
+ pairs[i].correlation * sqrt (df) /
+ sqrt (1 - pow2 (pairs[i].correlation));
/* row headings */
- tab_text(table, 0,i+1, TAB_LEFT | TAT_TITLE | TAT_PRINTF,
- _("Pair %d"), i);
+ tab_text (table, 0,i+1, TAB_LEFT | TAT_TITLE | TAT_PRINTF,
+ _ ("Pair %d"), i);
- tab_text(table, 1,i+1, TAB_LEFT | TAT_TITLE | TAT_PRINTF,
- _("%s & %s"),
+ tab_text (table, 1,i+1, TAB_LEFT | TAT_TITLE | TAT_PRINTF,
+ _ ("%s & %s"),
var_get_name (pairs[i].v[0]),
var_get_name (pairs[i].v[1]));
/* row data */
- tab_float(table, 2, i+1, TAB_RIGHT, pairs[i].n, 4, 0);
- tab_float(table, 3, i+1, TAB_RIGHT, pairs[i].correlation, 8, 3);
+ tab_float (table, 2, i+1, TAB_RIGHT, pairs[i].n, 4, 0);
+ tab_float (table, 3, i+1, TAB_RIGHT, pairs[i].correlation, 8, 3);
- p = gsl_cdf_tdist_P(correlation_t, df);
- q = gsl_cdf_tdist_Q(correlation_t, df);
+ p = gsl_cdf_tdist_P (correlation_t, df);
+ q = gsl_cdf_tdist_Q (correlation_t, df);
- tab_float(table, 4, i+1, TAB_RIGHT, 2.0*(correlation_t>0?q:p), 8, 3);
+ tab_float (table, 4, i+1, TAB_RIGHT, 2.0* (correlation_t>0?q:p), 8, 3);
}
- tab_submit(table);
+ tab_submit (table);
}
return 0;
}
- for(i = 0; i < cmd->n_variables ; ++i)
+ for (i = 0; i < cmd->n_variables ; ++i)
{
const struct variable *v = cmd->v_variables[i];
const union value *val = case_data (c, v);
{
int i=0;
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_statistics *gs;
gs= &group_proc_get (cmd->v_variables[i])->ugs;
{
int i=0;
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_statistics *gs;
gs= &group_proc_get (cmd->v_variables[i])->ugs;
gs->mean=gs->sum / gs->n;
- gs->s_std_dev= sqrt(
+ gs->s_std_dev= sqrt (
( (gs->ssq / gs->n ) - gs->mean * gs->mean )
) ;
- gs->std_dev= sqrt(
- gs->n/(gs->n-1) *
+ gs->std_dev= sqrt (
+ gs->n/ (gs->n-1) *
( (gs->ssq / gs->n ) - gs->mean * gs->mean )
) ;
- gs->se_mean = gs->std_dev / sqrt(gs->n);
+ gs->se_mean = gs->std_dev / sqrt (gs->n);
gs->mean_diff= gs->sum_diff / gs->n;
}
}
double weight = dict_get_case_weight (dict, c, NULL);
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_statistics *gs;
const struct variable *v = cmd->v_variables[i];
{
int i=0;
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_statistics *gs;
gs= &group_proc_get (cmd->v_variables[i])->ugs;
{
int i=0;
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_statistics *gs;
gs= &group_proc_get (cmd->v_variables[i])->ugs;
{
int i;
- for(i=0; i < n_pairs ; ++i )
+ for (i=0; i < n_pairs ; ++i )
{
pairs[i].n = 0;
pairs[i].sum[0] = 0; pairs[i].sum[1] = 0;
double weight = dict_get_case_weight (dict, c, NULL);
- for(i=0; i < n_pairs ; ++i )
+ for (i=0; i < n_pairs ; ++i )
{
const struct variable *v0 = pairs[i].v[0];
const struct variable *v1 = pairs[i].v[1];
pairs[i].sum[0] += weight * val0->f;
pairs[i].sum[1] += weight * val1->f;
- pairs[i].ssq[0] += weight * pow2(val0->f);
- pairs[i].ssq[1] += weight * pow2(val1->f);
+ pairs[i].ssq[0] += weight * pow2 (val0->f);
+ pairs[i].ssq[1] += weight * pow2 (val1->f);
pairs[i].sum_of_prod += weight * val0->f * val1->f ;
pairs[i].sum_of_diffs += weight * ( val0->f - val1->f ) ;
- pairs[i].ssq_diffs += weight * pow2(val0->f - val1->f);
+ pairs[i].ssq_diffs += weight * pow2 (val0->f - val1->f);
}
}
{
int i;
- for(i=0; i < n_pairs ; ++i )
+ for (i=0; i < n_pairs ; ++i )
{
int j;
const double n = pairs[i].n;
for (j=0; j < 2 ; ++j)
{
pairs[i].mean[j] = pairs[i].sum[j] / n ;
- pairs[i].s_std_dev[j] = sqrt((pairs[i].ssq[j] / n -
- pow2(pairs[i].mean[j]))
+ pairs[i].s_std_dev[j] = sqrt ((pairs[i].ssq[j] / n -
+ pow2 (pairs[i].mean[j]))
);
- pairs[i].std_dev[j] = sqrt(n/(n-1)*(pairs[i].ssq[j] / n -
- pow2(pairs[i].mean[j]))
+ pairs[i].std_dev[j] = sqrt (n/ (n-1)* (pairs[i].ssq[j] / n -
+ pow2 (pairs[i].mean[j]))
);
}
pairs[i].std_dev_diff = sqrt ( n / (n - 1) * (
( pairs[i].ssq_diffs / n )
-
- pow2(pairs[i].mean_diff )
+ pow2 (pairs[i].mean_diff )
) );
}
}
int i;
int j;
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
struct group_proc *ttpr = group_proc_get (cmd->v_variables[i]);
gp.indep_width = var_get_width (indep_var);
- ttpr->group_hash = hsh_create(2,
+ ttpr->group_hash = hsh_create (2,
(hsh_compare_func *) compare_group_binary,
(hsh_hash_func *) hash_group_binary,
(hsh_free_func *) free_group,
for (j=0 ; j < 2 ; ++j)
{
-
struct group_statistics *gs = xmalloc (sizeof *gs);
gs->sum = 0;
gv = case_data (c, indep_var);
- for(i=0; i< cmd->n_variables ; ++i)
+ for (i=0; i< cmd->n_variables ; ++i)
{
const struct variable *var = cmd->v_variables[i];
const union value *val = case_data (c, var);
struct hsh_table *grp_hash = group_proc_get (var)->group_hash;
struct group_statistics *gs;
- gs = hsh_find(grp_hash, (void *) gv);
+ gs = hsh_find (grp_hash, (void *) gv);
/* If the independent variable doesn't match either of the values
for this case then move on to the next case */
{
gs->n += weight;
gs->sum += weight * val->f;
- gs->ssq += weight * pow2(val->f);
+ gs->ssq += weight * pow2 (val->f);
}
}
for (gs = hsh_first (grp_hash,&g);
gs != 0;
- gs = hsh_next(grp_hash,&g))
+ gs = hsh_next (grp_hash,&g))
{
gs->mean = gs->sum / gs->n;
- gs->s_std_dev= sqrt(
+ gs->s_std_dev= sqrt (
( (gs->ssq / gs->n ) - gs->mean * gs->mean )
) ;
- gs->std_dev= sqrt(
- gs->n/(gs->n-1) *
+ gs->std_dev= sqrt (
+ gs->n/ (gs->n-1) *
( (gs->ssq / gs->n ) - gs->mean * gs->mean )
) ;
- gs->se_mean = gs->std_dev / sqrt(gs->n);
+ gs->se_mean = gs->std_dev / sqrt (gs->n);
count ++;
}
- assert(count == 2);
+ assert (count == 2);
}
}
static void
-calculate(struct cmd_t_test *cmd,
+calculate (struct cmd_t_test *cmd,
struct casereader *input, const struct dataset *ds)
{
const struct dictionary *dict = dataset_dict (ds);
casereader_destroy (pass1);
common_postcalc (cmd);
- switch(mode)
+ switch (mode)
{
case T_1_SAMPLE:
one_sample_precalc (cmd);
one_sample_postcalc (cmd);
break;
case T_PAIRED:
- paired_precalc(cmd);
+ paired_precalc (cmd);
for (; casereader_read (pass2, &c); case_destroy (&c))
paired_calc (dict, &c, cmd, exclude);
paired_postcalc (cmd);
case T_IND_SAMPLES:
pass3 = casereader_clone (pass2);
- group_precalc(cmd);
- for(; casereader_read (pass2, &c); case_destroy (&c))
+ group_precalc (cmd);
+ for (; casereader_read (pass2, &c); case_destroy (&c))
group_calc (dict, &c, cmd, exclude);
- group_postcalc(cmd);
+ group_postcalc (cmd);
levene (dict, pass3, indep_var, cmd->n_variables, cmd->v_variables,
exclude);
if (!taint_has_tainted_successor (taint))
{
- ssbox_create(&stat_summary_box,cmd,mode);
- ssbox_populate(&stat_summary_box,cmd);
- ssbox_finalize(&stat_summary_box);
+ ssbox_create (&stat_summary_box,cmd,mode);
+ ssbox_populate (&stat_summary_box,cmd);
+ ssbox_finalize (&stat_summary_box);
if ( mode == T_PAIRED )
- pscbox();
+ pscbox ();
- trbox_create(&test_results_box,cmd,mode);
- trbox_populate(&test_results_box,cmd);
- trbox_finalize(&test_results_box);
+ trbox_create (&test_results_box,cmd,mode);
+ trbox_populate (&test_results_box,cmd);
+ trbox_finalize (&test_results_box);
}
taint_destroy (taint);
}
-short which_group(const struct group_statistics *g,
+short which_group (const struct group_statistics *g,
const struct group_properties *p);
/* Return -1 if the id of a is less than b; +1 if greater than and
0 if equal */
static int
-compare_group_binary(const struct group_statistics *a,
+compare_group_binary (const struct group_statistics *a,
const struct group_statistics *b,
const struct group_properties *p)
{
{
/* less-than comparision is not meaningfull for
alpha variables, so we shouldn't ever arrive here */
- assert(p->indep_width == 0 ) ;
+ assert (p->indep_width == 0 ) ;
flag_a = ( a->id.f < p->v.critical_value ) ;
flag_b = ( b->id.f < p->v.critical_value ) ;
}
else
{
- flag_a = which_group(a, p);
- flag_b = which_group(b, p);
+ flag_a = which_group (a, p);
+ flag_b = which_group (b, p);
}
if (flag_a < flag_b )
values. It's really a comparison, being used as a hash function */
static unsigned
-hash_group_binary(const struct group_statistics *g,
+hash_group_binary (const struct group_statistics *g,
const struct group_properties *p)
{
short flag = -1;
if ( p->criterion == CMP_LE )
{
/* Not meaningfull to do a less than compare for alpha values ? */
- assert(p->indep_width == 0 ) ;
+ assert (p->indep_width == 0 ) ;
flag = ( g->id.f < p->v.critical_value ) ;
}
else if ( p->criterion == CMP_EQ)
{
- flag = which_group(g,p);
+ flag = which_group (g,p);
}
else
NOT_REACHED ();
1 if it belongs to group 1,
2 if it belongs to neither group */
short
-which_group(const struct group_statistics *g,
+which_group (const struct group_statistics *g,
const struct group_properties *p)
{
-
if ( 0 == compare_values (&g->id, &p->v.g_value[0], p->indep_width))
return 0;
projects / pspp-builds.git / commitdiff