"ONEWAY" (oneway_):
*^variables=custom;
missing=miss:!analysis/listwise,
- incl:include/!exclude;
+ incl:include/!exclude;
+contrast= double list;
+statistics[st_]=descriptives,homogeneity.
*/
/* A hash table containing all the distinct values of the independent
variables */
-static struct hsh_table *global_group_hash ;
+static struct hsh_table *global_group_hash;
/* The number of distinct values of the independent variable, when all
missing values are disregarded */
/* Routines to show the output tables */
-static void show_anova_table(void);
-static void show_descriptives(void);
-static void show_homogeneity(void);
+static void show_anova_table (void);
+static void show_descriptives (void);
+static void show_homogeneity (void);
-static void show_contrast_coeffs(short *);
-static void show_contrast_tests(short *);
+static void show_contrast_coeffs (short *);
+static void show_contrast_tests (short *);
enum stat_table_t {STAT_DESC = 1, STAT_HOMO = 2};
-static enum stat_table_t stat_tables ;
+static enum stat_table_t stat_tables;
-void output_oneway(void);
+void output_oneway (void);
int
int i;
bool ok;
- if ( !parse_oneway (lexer, ds, &cmd, NULL) )
+ if ( !parse_oneway (lexer, ds, &cmd, NULL))
return CMD_FAILURE;
/* What statistics were requested */
- if ( cmd.sbc_statistics )
+ if ( cmd.sbc_statistics)
{
- for (i = 0 ; i < ONEWAY_ST_count ; ++i )
+ for (i = 0; i < ONEWAY_ST_count; ++i)
{
- if ( ! cmd.a_statistics[i] ) continue;
-
- switch (i) {
- case ONEWAY_ST_DESCRIPTIVES:
- stat_tables |= STAT_DESC;
- break;
- case ONEWAY_ST_HOMOGENEITY:
- stat_tables |= STAT_HOMO;
- break;
- }
+ if (! cmd.a_statistics[i]) continue;
+
+ switch (i)
+ {
+ case ONEWAY_ST_DESCRIPTIVES:
+ stat_tables |= STAT_DESC;
+ break;
+ case ONEWAY_ST_HOMOGENEITY:
+ stat_tables |= STAT_HOMO;
+ break;
+ }
}
}
void
-output_oneway(void)
+output_oneway (void)
{
size_t i;
- short *bad_contrast ;
+ short *bad_contrast;
bad_contrast = xnmalloc (cmd.sbc_contrast, sizeof *bad_contrast);
/* Check the sanity of the given contrast values */
- for (i = 0 ; i < cmd.sbc_contrast ; ++i )
+ for (i = 0; i < cmd.sbc_contrast; ++i)
{
int j;
double sum = 0;
bad_contrast[i] = 0;
- if ( subc_list_double_count(&cmd.dl_contrast[i]) !=
- ostensible_number_of_groups )
+ if (subc_list_double_count (&cmd.dl_contrast[i]) !=
+ ostensible_number_of_groups)
{
- msg(SW,
- _("Number of contrast coefficients must equal the number of groups"));
+ msg (SW,
+ _("Number of contrast coefficients must equal the number of groups"));
bad_contrast[i] = 1;
continue;
}
- for (j=0; j < ostensible_number_of_groups ; ++j )
- sum += subc_list_double_at(&cmd.dl_contrast[i],j);
+ for (j = 0; j < ostensible_number_of_groups; ++j)
+ sum += subc_list_double_at (&cmd.dl_contrast[i], j);
if ( sum != 0.0 )
- msg(SW,_("Coefficients for contrast %zu do not total zero"), i + 1);
+ msg (SW, _("Coefficients for contrast %zu do not total zero"), i + 1);
}
if ( stat_tables & STAT_DESC )
- show_descriptives();
+ show_descriptives ();
if ( stat_tables & STAT_HOMO )
- show_homogeneity();
+ show_homogeneity ();
- show_anova_table();
+ show_anova_table ();
if (cmd.sbc_contrast )
{
- show_contrast_coeffs(bad_contrast);
- show_contrast_tests(bad_contrast);
+ show_contrast_coeffs (bad_contrast);
+ show_contrast_tests (bad_contrast);
}
-
- free(bad_contrast);
+ free (bad_contrast);
/* Clean up */
- for (i = 0 ; i < n_vars ; ++i )
+ for (i = 0; i < n_vars; ++i )
{
struct hsh_table *group_hash = group_proc_get (vars[i])->group_hash;
- hsh_destroy(group_hash);
+ hsh_destroy (group_hash);
}
- hsh_destroy(global_group_hash);
-
+ hsh_destroy (global_group_hash);
}
-
-
/* Parser for the variables sub command */
static int
oneway_custom_variables (struct lexer *lexer,
- struct dataset *ds, struct cmd_oneway *cmd UNUSED,
- void *aux UNUSED)
+ struct dataset *ds, struct cmd_oneway *cmd UNUSED,
+ void *aux UNUSED)
{
struct dictionary *dict = dataset_dict (ds);
lex_match (lexer, '=');
- if ((lex_token (lexer) != T_ID || dict_lookup_var (dict, lex_tokid (lexer)) == NULL)
+ if ((lex_token (lexer) != T_ID ||
+ dict_lookup_var (dict, lex_tokid (lexer)) == NULL)
&& lex_token (lexer) != T_ALL)
return 2;
if (!parse_variables_const (lexer, dict, &vars, &n_vars,
- PV_DUPLICATE
- | PV_NUMERIC | PV_NO_SCRATCH) )
+ PV_DUPLICATE
+ | PV_NUMERIC | PV_NO_SCRATCH) )
{
free (vars);
return 0;
}
- assert(n_vars);
+ assert (n_vars);
if ( ! lex_match (lexer, T_BY))
return 2;
if ( !indep_var )
{
- msg(SE,_("`%s' is not a variable name"),lex_tokid (lexer));
+ msg (SE, _("`%s' is not a variable name"), lex_tokid (lexer));
return 0;
}
/* Show the ANOVA table */
static void
-show_anova_table(void)
+show_anova_table (void)
{
size_t i;
int n_cols =7;
struct tab_table *t;
- t = tab_create (n_cols,n_rows,0);
+ t = tab_create (n_cols, n_rows, 0);
tab_headers (t, 2, 0, 1, 0);
tab_dim (t, tab_natural_dimensions);
tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("Significance"));
- for ( i=0 ; i < n_vars ; ++i )
+ for (i = 0; i < n_vars; ++i)
{
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;
- const char *s = var_to_string(vars[i]);
+ const char *s = var_to_string (vars[i]);
- for (gs = hsh_first (group_hash,&g);
+ for (gs = hsh_first (group_hash, &g);
gs != 0;
- gs = hsh_next(group_hash,&g))
+ gs = hsh_next (group_hash, &g))
{
ssa += pow2 (gs->sum) / gs->n;
}
tab_text (t, 1, i * 3 + 3, TAB_LEFT | TAT_TITLE, _("Total"));
if (i > 0)
- tab_hline(t, TAL_1, 0, n_cols - 1 , i * 3 + 1);
+ 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 - pow2 (totals->sum) / totals->n ;
+ const double sst = totals->ssq - pow2 (totals->sum) / totals->n;
const double df1 = gp->n_groups - 1;
- const double df2 = totals->n - gp->n_groups ;
+ const double df2 = totals->n - gp->n_groups;
const double msa = ssa / df1;
gp->mse = (sst - ssa) / df2;
tab_float (t, 4, i * 3 + 2, TAB_RIGHT, gp->mse, 8, 3);
{
- const double F = msa/gp->mse ;
+ const double F = msa/gp->mse;
/* The F value */
tab_float (t, 5, i * 3 + 1, 0, F, 8, 3);
/* The significance */
- tab_float (t, 6, i * 3 + 1, 0, gsl_cdf_fdist_Q(F,df1,df2), 8, 3);
+ tab_float (t, 6, i * 3 + 1, 0, gsl_cdf_fdist_Q (F, df1, df2), 8, 3);
}
}
}
/* Show the descriptives table */
static void
-show_descriptives(void)
+show_descriptives (void)
{
size_t v;
int n_cols =10;
struct tab_table *t;
int row;
- const double confidence=0.95;
+ const double confidence = 0.95;
const double q = (1.0 - confidence) / 2.0;
- int n_rows = 2 ;
+ int n_rows = 2;
- for ( v = 0 ; v < n_vars ; ++v )
+ for ( v = 0; v < n_vars; ++v )
n_rows += group_proc_get (vars[v])->n_groups + 1;
- t = tab_create (n_cols,n_rows,0);
+ t = tab_create (n_cols, n_rows, 0);
tab_headers (t, 2, 0, 2, 0);
tab_dim (t, tab_natural_dimensions);
n_cols - 1, n_rows - 1);
/* Underline headers */
- tab_hline (t, TAL_2, 0, n_cols - 1, 2 );
+ tab_hline (t, TAL_2, 0, n_cols - 1, 2);
tab_vline (t, TAL_2, 2, 0, n_rows - 1);
tab_text (t, 2, 1, TAB_CENTER | TAT_TITLE, _("N"));
tab_text (t, 5, 1, TAB_CENTER | TAT_TITLE, _("Std. Error"));
- tab_vline(t, TAL_0, 7, 0, 0);
- tab_hline(t, TAL_1, 6, 7, 1);
- tab_joint_text (t, 6, 0, 7, 0, TAB_CENTER | TAT_TITLE | TAT_PRINTF, _("%g%% Confidence Interval for Mean"),confidence*100.0);
+ tab_vline (t, TAL_0, 7, 0, 0);
+ tab_hline (t, TAL_1, 6, 7, 1);
+ tab_joint_text (t, 6, 0, 7, 0, TAB_CENTER | TAT_TITLE | TAT_PRINTF,
+ _("%g%% Confidence Interval for Mean"), confidence*100.0);
tab_text (t, 6, 1, TAB_CENTER | TAT_TITLE, _("Lower Bound"));
tab_text (t, 7, 1, TAB_CENTER | TAT_TITLE, _("Upper Bound"));
row = 2;
- for ( v=0 ; v < n_vars ; ++v )
+ for (v = 0; v < n_vars; ++v)
{
double T;
double std_error;
struct group_statistics *gs;
struct group_statistics *totals = &gp->ugs;
- const char *s = var_to_string(vars[v]);
+ const char *s = var_to_string (vars[v]);
struct group_statistics *const *gs_array =
- (struct group_statistics *const *) hsh_sort(gp->group_hash);
+ (struct group_statistics *const *) hsh_sort (gp->group_hash);
int count = 0;
tab_text (t, 0, row, TAB_LEFT | TAT_TITLE, s);
if ( v > 0)
- tab_hline(t, TAL_1, 0, n_cols - 1 , row);
+ tab_hline (t, TAL_1, 0, n_cols - 1, row);
- for (count = 0 ; count < hsh_count(gp->group_hash) ; ++count)
+ for (count = 0; count < hsh_count (gp->group_hash); ++count)
{
struct string vstr;
ds_init_empty (&vstr);
/* Now fill in the numbers ... */
- tab_float (t, 2, row + count, 0, gs->n, 8,0);
+ tab_float (t, 2, row + count, 0, gs->n, 8, 0);
tab_float (t, 3, row + count, 0, gs->mean, 8, 2);
tab_float (t, 4, row + count, 0, gs->std_dev, 8, 2);
- std_error = gs->std_dev/sqrt(gs->n) ;
+ std_error = gs->std_dev/sqrt (gs->n);
tab_float (t, 5, row + count, 0,
std_error, 8, 2);
/* Now the confidence interval */
- T = gsl_cdf_tdist_Qinv(q, gs->n - 1);
+ T = gsl_cdf_tdist_Qinv (q, gs->n - 1);
- tab_float(t, 6, row + count, 0,
- gs->mean - T * std_error, 8, 2);
+ tab_float (t, 6, row + count, 0,
+ gs->mean - T * std_error, 8, 2);
- tab_float(t, 7, row + count, 0,
- gs->mean + T * std_error, 8, 2);
+ tab_float (t, 7, row + count, 0,
+ gs->mean + T * std_error, 8, 2);
/* Min and Max */
-
- tab_float(t, 8, row + count, 0, gs->minimum, 8, 2);
- tab_float(t, 9, row + count, 0, gs->maximum, 8, 2);
-
+ tab_float (t, 8, row + count, 0, gs->minimum, 8, 2);
+ tab_float (t, 9, row + count, 0, gs->maximum, 8, 2);
}
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, 2, row + count, 0, totals->n, 8, 0);
- tab_float (t, 3, row + count, 0, totals->mean, 8,2);
+ tab_float (t, 3, row + count, 0, totals->mean, 8, 2);
- tab_float (t, 4, row + count, 0, totals->std_dev,8,2);
+ tab_float (t, 4, row + count, 0, totals->std_dev, 8, 2);
- std_error = totals->std_dev/sqrt(totals->n) ;
+ std_error = totals->std_dev/sqrt (totals->n);
- tab_float (t, 5, row + count, 0, std_error, 8,2);
+ tab_float (t, 5, row + count, 0, std_error, 8, 2);
/* Now the confidence interval */
- T = gsl_cdf_tdist_Qinv(q,totals->n - 1);
+ T = gsl_cdf_tdist_Qinv (q, totals->n - 1);
- tab_float(t, 6, row + count, 0,
- totals->mean - T * std_error, 8, 2);
+ tab_float (t, 6, row + count, 0,
+ totals->mean - T * std_error, 8, 2);
- tab_float(t, 7, row + count, 0,
- totals->mean + T * std_error, 8, 2);
+ tab_float (t, 7, row + count, 0,
+ totals->mean + T * std_error, 8, 2);
/* Min and Max */
-
- tab_float(t, 8, row + count, 0, totals->minimum, 8, 2);
- tab_float(t, 9, row + count, 0, totals->maximum, 8, 2);
+ tab_float (t, 8, row + count, 0, totals->minimum, 8, 2);
+ tab_float (t, 9, row + count, 0, totals->maximum, 8, 2);
row += gp->n_groups + 1;
}
-
tab_submit (t);
-
-
}
/* Show the homogeneity table */
static void
-show_homogeneity(void)
+show_homogeneity (void)
{
size_t v;
int n_cols = 5;
struct tab_table *t;
- t = tab_create (n_cols,n_rows,0);
+ t = tab_create (n_cols, n_rows, 0);
tab_headers (t, 1, 0, 1, 0);
tab_dim (t, tab_natural_dimensions);
n_cols - 1, n_rows - 1);
- tab_hline(t, TAL_2, 0, n_cols - 1, 1);
- tab_vline(t, TAL_2, 1, 0, n_rows - 1);
+ tab_hline (t, TAL_2, 0, n_cols - 1, 1);
+ tab_vline (t, TAL_2, 1, 0, n_rows - 1);
- tab_text (t, 1, 0, TAB_CENTER | TAT_TITLE, _("Levene Statistic"));
- tab_text (t, 2, 0, TAB_CENTER | TAT_TITLE, _("df1"));
- tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("df2"));
- tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Significance"));
-
+ tab_text (t, 1, 0, TAB_CENTER | TAT_TITLE, _("Levene Statistic"));
+ tab_text (t, 2, 0, TAB_CENTER | TAT_TITLE, _("df1"));
+ tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("df2"));
+ tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Significance"));
tab_title (t, _("Test of Homogeneity of Variances"));
- for ( v=0 ; v < n_vars ; ++v )
+ for (v = 0; v < n_vars; ++v)
{
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 char *s = var_to_string (var);
const struct group_statistics *totals = &gp->ugs;
const double df1 = gp->n_groups - 1;
- const double df2 = totals->n - gp->n_groups ;
+ const double df2 = totals->n - gp->n_groups;
tab_text (t, 0, v + 1, TAB_LEFT | TAT_TITLE, s);
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);
+ 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);
/* Now the significance */
- tab_float (t, 4, v + 1, TAB_RIGHT,gsl_cdf_fdist_Q(F,df1,df2), 8, 3);
+ tab_float (t, 4, v + 1, TAB_RIGHT, gsl_cdf_fdist_Q (F, df1, df2), 8, 3);
}
tab_submit (t);
int n_cols = 2 + ostensible_number_of_groups;
int n_rows = 2 + cmd.sbc_contrast;
union value *group_value;
- int count = 0 ;
- void *const *group_values ;
+ int count = 0;
+ void *const *group_values;
struct tab_table *t;
- t = tab_create (n_cols,n_rows,0);
+ t = tab_create (n_cols, n_rows, 0);
tab_headers (t, 2, 0, 2, 0);
tab_dim (t, tab_natural_dimensions);
n_cols - 1, n_rows - 1);
tab_box (t,
- -1,-1,
+ -1, -1,
TAL_0, TAL_0,
2, 0,
n_cols - 1, 0);
tab_box (t,
- -1,-1,
+ -1, -1,
TAL_0, TAL_0,
- 0,0,
- 1,1);
+ 0, 0,
+ 1, 1);
- tab_hline(t, TAL_1, 2, n_cols - 1, 1);
- tab_hline(t, TAL_2, 0, n_cols - 1, 2);
+ tab_hline (t, TAL_1, 2, n_cols - 1, 1);
+ tab_hline (t, TAL_2, 0, n_cols - 1, 2);
- tab_vline(t, TAL_2, 2, 0, n_rows - 1);
+ tab_vline (t, TAL_2, 2, 0, n_rows - 1);
tab_title (t, _("Contrast Coefficients"));
tab_joint_text (t, 2, 0, n_cols - 1, 0, TAB_CENTER | TAT_TITLE,
- var_to_string(indep_var));
+ var_to_string (indep_var));
- group_values = hsh_sort(global_group_hash);
- for (count = 0 ;
- count < hsh_count(global_group_hash) ;
+ group_values = hsh_sort (global_group_hash);
+ for (count = 0;
+ count < hsh_count (global_group_hash);
++count)
{
int i;
ds_destroy (&vstr);
- for (i = 0 ; i < cmd.sbc_contrast ; ++i )
+ for (i = 0; i < cmd.sbc_contrast; ++i )
{
- tab_text(t, 1, i + 2, TAB_CENTER | TAT_PRINTF, "%d", i + 1);
+ tab_text (t, 1, i + 2, TAB_CENTER | TAT_PRINTF, "%d", i + 1);
if ( bad_contrast[i] )
- tab_text(t, count + 2, i + 2, TAB_RIGHT, "?" );
+ tab_text (t, count + 2, i + 2, TAB_RIGHT, "?" );
else
- tab_text(t, count + 2, i + 2, TAB_RIGHT | TAT_PRINTF, "%g",
- subc_list_double_at(&cmd.dl_contrast[i], count)
- );
+ tab_text (t, count + 2, i + 2, TAB_RIGHT | TAT_PRINTF, "%g",
+ subc_list_double_at (&cmd.dl_contrast[i], count)
+ );
}
}
/* Show the results of the contrast tests */
static void
-show_contrast_tests(short *bad_contrast)
+show_contrast_tests (short *bad_contrast)
{
size_t v;
int n_cols = 8;
struct tab_table *t;
- t = tab_create (n_cols,n_rows,0);
+ t = tab_create (n_cols, n_rows, 0);
tab_headers (t, 3, 0, 1, 0);
tab_dim (t, tab_natural_dimensions);
n_cols - 1, n_rows - 1);
tab_box (t,
- -1,-1,
+ -1, -1,
TAL_0, TAL_0,
0, 0,
2, 0);
- tab_hline(t, TAL_2, 0, n_cols - 1, 1);
- tab_vline(t, TAL_2, 3, 0, n_rows - 1);
+ tab_hline (t, TAL_2, 0, n_cols - 1, 1);
+ tab_vline (t, TAL_2, 3, 0, n_rows - 1);
tab_title (t, _("Contrast Tests"));
- tab_text (t, 2, 0, TAB_CENTER | TAT_TITLE, _("Contrast"));
- tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("Value of Contrast"));
+ tab_text (t, 2, 0, TAB_CENTER | TAT_TITLE, _("Contrast"));
+ tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("Value of Contrast"));
tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Std. Error"));
tab_text (t, 5, 0, TAB_CENTER | TAT_TITLE, _("t"));
tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("df"));
tab_text (t, 7, 0, TAB_CENTER | TAT_TITLE, _("Sig. (2-tailed)"));
- for ( v = 0 ; v < n_vars ; ++v )
+ for (v = 0; v < n_vars; ++v)
{
int i;
int lines_per_variable = 2 * cmd.sbc_contrast;
tab_text (t, 0, (v * lines_per_variable) + 1, TAB_LEFT | TAT_TITLE,
- var_to_string(vars[v]));
+ var_to_string (vars[v]));
- for ( i = 0 ; i < cmd.sbc_contrast ; ++i )
+ for (i = 0; i < cmd.sbc_contrast; ++i)
{
int ci;
double contrast_value = 0.0;
void *const *group_stat_array;
double T;
- double std_error_contrast ;
+ double std_error_contrast;
double df;
- double sec_vneq=0.0;
+ double sec_vneq = 0.0;
/* Note: The calculation of the degrees of freedom in the
"variances not equal" case is painfull!!
The following formula may help to understand it:
- \frac{\left(\sum_{i=1}^k{c_i^2\frac{s_i^2}{n_i}}\right)^2}
+ \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}
+ \sum_{i=1}^k\left (
+ \frac{\left (c_i^2\frac{s_i^2}{n_i}\right)^2} {n_i-1}
\right)
}
*/
}
tab_text (t, 2, (v * lines_per_variable) + i + 1,
- TAB_CENTER | TAT_TITLE | TAT_PRINTF, "%d",i+1);
+ TAB_CENTER | TAT_TITLE | TAT_PRINTF, "%d", i + 1);
tab_text (t, 2, (v * lines_per_variable) + i + 1 + cmd.sbc_contrast,
- TAB_CENTER | TAT_TITLE | TAT_PRINTF, "%d",i+1);
+ TAB_CENTER | TAT_TITLE | TAT_PRINTF, "%d", i + 1);
if ( bad_contrast[i])
continue;
- group_stat_array = hsh_sort(group_hash);
+ group_stat_array = hsh_sort (group_hash);
- for (ci = 0 ; ci < hsh_count(group_hash) ; ++ci)
+ for (ci = 0; ci < hsh_count (group_hash); ++ci)
{
- const double coef = subc_list_double_at(&cmd.dl_contrast[i], ci);
+ const double coef = subc_list_double_at (&cmd.dl_contrast[i], ci);
struct group_statistics *gs = group_stat_array[ci];
const double winv = pow2 (gs->std_dev) / gs->n;
contrast_value += coef * gs->mean;
- coef_msq += (coef * coef) / gs->n ;
+ coef_msq += (coef * coef) / gs->n;
- sec_vneq += (coef * coef) * pow2 (gs->std_dev) /gs->n ;
+ sec_vneq += (coef * coef) * pow2 (gs->std_dev) /gs->n;
df_numerator += (coef * coef) * winv;
df_denominator += pow2((coef * coef) * winv) / (gs->n - 1);
}
- sec_vneq = sqrt(sec_vneq);
+ sec_vneq = sqrt (sec_vneq);
df_numerator = pow2(df_numerator);
tab_float (t, 3, (v * lines_per_variable) + i + 1,
- TAB_RIGHT, contrast_value, 8,2);
+ TAB_RIGHT, contrast_value, 8, 2);
tab_float (t, 3, (v * lines_per_variable) + i + 1 +
cmd.sbc_contrast,
- TAB_RIGHT, contrast_value, 8,2);
+ TAB_RIGHT, contrast_value, 8, 2);
std_error_contrast = sqrt (grp_data->mse * coef_msq);
/* Std. Error */
tab_float (t, 4, (v * lines_per_variable) + i + 1,
TAB_RIGHT, std_error_contrast,
- 8,3);
+ 8, 3);
- T = fabs(contrast_value / std_error_contrast) ;
+ T = fabs (contrast_value / std_error_contrast);
/* T Statistic */
tab_float (t, 5, (v * lines_per_variable) + i + 1,
TAB_RIGHT, T,
- 8,3);
+ 8, 3);
df = grp_data->ugs.n - grp_data->n_groups;
/* Degrees of Freedom */
tab_float (t, 6, (v * lines_per_variable) + i + 1,
TAB_RIGHT, df,
- 8,0);
+ 8, 0);
/* Significance TWO TAILED !!*/
tab_float (t, 7, (v * lines_per_variable) + i + 1,
- TAB_RIGHT, 2 * gsl_cdf_tdist_Q(T,df),
- 8,3);
+ TAB_RIGHT, 2 * gsl_cdf_tdist_Q (T, df),
+ 8, 3);
/* Now for the Variances NOT Equal case */
tab_float (t, 4,
(v * lines_per_variable) + i + 1 + cmd.sbc_contrast,
TAB_RIGHT, sec_vneq,
- 8,3);
+ 8, 3);
T = contrast_value / sec_vneq;
tab_float (t, 5,
(v * lines_per_variable) + i + 1 + cmd.sbc_contrast,
TAB_RIGHT, T,
- 8,3);
+ 8, 3);
df = df_numerator / df_denominator;
tab_float (t, 6,
(v * lines_per_variable) + i + 1 + cmd.sbc_contrast,
TAB_RIGHT, df,
- 8,3);
+ 8, 3);
/* The Significance */
tab_float (t, 7, (v * lines_per_variable) + i + 1 + cmd.sbc_contrast,
- TAB_RIGHT, 2 * gsl_cdf_tdist_Q(T,df),
- 8,3);
+ TAB_RIGHT, 2 * gsl_cdf_tdist_Q (T, df),
+ 8, 3);
}
if ( v > 0 )
- tab_hline(t, TAL_1, 0, n_cols - 1, (v * lines_per_variable) + 1);
+ tab_hline (t, TAL_1, 0, n_cols - 1, (v * lines_per_variable) + 1);
}
tab_submit (t);
/* ONEWAY ANOVA Calculations */
-static void postcalc ( struct cmd_oneway *cmd UNUSED );
+static void postcalc (struct cmd_oneway *cmd UNUSED);
-static void precalc ( struct cmd_oneway *cmd UNUSED );
+static void precalc (struct cmd_oneway *cmd UNUSED);
/* Pre calculations */
static void
-precalc ( struct cmd_oneway *cmd UNUSED )
+precalc (struct cmd_oneway *cmd UNUSED)
{
- size_t i=0;
+ size_t i = 0;
- for(i=0; i< n_vars ; ++i)
+ for (i = 0; i < n_vars; ++i)
{
struct group_proc *gp = group_proc_get (vars[i]);
struct group_statistics *totals = &gp->ugs;
The hash contains a group_statistics structure,
and is keyed by value of the independent variable */
- gp->group_hash = hsh_create(4, compare_group, hash_group,
- (hsh_free_func *) free_group,
- indep_var);
+ gp->group_hash = hsh_create (4, compare_group, hash_group,
+ (hsh_free_func *) free_group,
+ indep_var);
- totals->sum=0;
- totals->n=0;
- totals->ssq=0;
- totals->sum_diff=0;
- totals->maximum = - DBL_MAX;
+ totals->sum = 0;
+ totals->n = 0;
+ totals->ssq = 0;
+ totals->sum_diff = 0;
+ totals->maximum = -DBL_MAX;
totals->minimum = DBL_MAX;
}
}
taint = taint_clone (casereader_get_taint (input));
- global_group_hash = hsh_create(4,
- compare_values,
- hash_value,
- free_value,
- indep_var);
+ global_group_hash = hsh_create (4,
+ compare_values,
+ hash_value,
+ free_value,
+ indep_var);
- precalc(cmd);
+ precalc (cmd);
exclude = cmd->incl != ONEWAY_INCLUDE ? MV_ANY : MV_SYSTEM;
input = casereader_create_filter_missing (input, &indep_var, 1,
if (*p == NULL)
*p = value_dup (indep_val, var_get_width (indep_var));
- for ( i = 0 ; i < n_vars ; ++i )
+ for (i = 0; i < n_vars; ++i)
{
const struct variable *v = vars[i];
{
gs = xmalloc (sizeof *gs);
gs->id = *indep_val;
- gs->sum=0;
- gs->n=0;
- gs->ssq=0;
- gs->sum_diff=0;
+ gs->sum = 0;
+ gs->n = 0;
+ gs->ssq = 0;
+ gs->sum_diff = 0;
gs->minimum = DBL_MAX;
gs->maximum = -DBL_MAX;
}
casereader_destroy (reader);
- postcalc(cmd);
+ postcalc (cmd);
if ( stat_tables & STAT_HOMO )
ostensible_number_of_groups = hsh_count (global_group_hash);
if (!taint_has_tainted_successor (taint))
- output_oneway();
+ output_oneway ();
taint_destroy (taint);
}
void
postcalc ( struct cmd_oneway *cmd UNUSED )
{
- size_t i=0;
-
+ size_t i = 0;
- for(i = 0; i < n_vars ; ++i)
+ for (i = 0; i < n_vars; ++i)
{
struct group_proc *gp = group_proc_get (vars[i]);
struct hsh_table *group_hash = gp->group_hash;
struct hsh_iterator g;
struct group_statistics *gs;
- for (gs = hsh_first (group_hash,&g);
+ for (gs = hsh_first (group_hash, &g);
gs != 0;
- gs = hsh_next(group_hash,&g))
+ gs = hsh_next (group_hash, &g))
{
gs->mean = gs->sum / gs->n;
- gs->s_std_dev= sqrt(
- gs->ssq / gs->n - pow2 (gs->mean)
- ) ;
+ gs->s_std_dev = sqrt (gs->ssq / gs->n - pow2 (gs->mean));
- gs->std_dev= sqrt(
- gs->n / (gs->n - 1) *
- ( gs->ssq / gs->n - pow2 (gs->mean))
- ) ;
+ gs->std_dev = sqrt (
+ gs->n / (gs->n - 1) *
+ ( gs->ssq / gs->n - pow2 (gs->mean))
+ );
gs->se_mean = gs->std_dev / sqrt (gs->n);
gs->mean_diff = gs->sum_diff / gs->n;
}
totals->mean = totals->sum / totals->n;
- totals->std_dev= sqrt(
- totals->n / (totals->n - 1) *
- (totals->ssq / totals->n - pow2 (totals->mean))
- ) ;
+ totals->std_dev = sqrt (
+ totals->n / (totals->n - 1) *
+ (totals->ssq / totals->n - pow2 (totals->mean))
+ );
totals->se_mean = totals->std_dev / sqrt (totals->n);
}
projects / pspp-builds.git / commitdiff