/* PSPP - a program for statistical analysis.
- Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2012, 2013, 2014 Free Software Foundation, Inc.
+ Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2012, 2013, 2014,
+ 2020 Free Software Foundation, Inc.
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
/* Workspace variable for each dependent variable */
struct per_var_ws
-{
- struct interaction *iact;
- struct categoricals *cat;
- struct covariance *cov;
- struct levene *nl;
+ {
+ struct interaction *iact;
+ struct categoricals *cat;
+ struct covariance *cov;
+ struct levene *nl;
- double n;
+ double n;
- double sst;
- double sse;
- double ssa;
+ double sst;
+ double sse;
+ double ssa;
- int n_groups;
+ int n_groups;
- double mse;
-};
+ double mse;
+ };
/* Per category data */
struct descriptive_data
-{
- const struct variable *var;
- struct moments1 *mom;
+ {
+ const struct variable *var;
+ struct moments1 *mom;
- double minimum;
- double maximum;
-};
+ double minimum;
+ double maximum;
+ };
enum missing_type
{
MISS_ANALYSIS,
};
-enum statistics
- {
- STATS_DESCRIPTIVES = 0x0001,
- STATS_HOMOGENEITY = 0x0002
- };
-
struct coeff_node
{
struct ll ll;
const struct variable *indep_var;
- enum statistics stats;
+ bool descriptive_stats;
+ bool homogeneity_stats;
enum missing_type missing_type;
enum mv_class exclude;
static double sidak_pinv (double std_err, double alpha, double df, int k, const struct moments1 *mom_i UNUSED, const struct moments1 *mom_j UNUSED)
{
const double m = k * (k - 1) / 2;
- double lp = 1.0 - exp (log (1.0 - alpha) / m) ;
+ double lp = 1.0 - exp (log (1.0 - alpha) / m);
return std_err * gsl_cdf_tdist_Pinv (1.0 - lp / 2.0, df);
}
cmd_oneway (struct lexer *lexer, struct dataset *ds)
{
const struct dictionary *dict = dataset_dict (ds);
- struct oneway_spec oneway ;
- oneway.n_vars = 0;
- oneway.vars = NULL;
- oneway.indep_var = NULL;
- oneway.stats = 0;
- oneway.missing_type = MISS_ANALYSIS;
- oneway.exclude = MV_ANY;
- oneway.wv = dict_get_weight (dict);
- oneway.wfmt = dict_get_weight_format (dict);
- oneway.alpha = 0.05;
- oneway.posthoc = NULL;
- oneway.n_posthoc = 0;
+ struct oneway_spec oneway = {
+ .missing_type = MISS_ANALYSIS,
+ .exclude = MV_ANY,
+ .wv = dict_get_weight (dict),
+ .wfmt = dict_get_weight_format (dict),
+ .alpha = 0.05,
+ };
ll_init (&oneway.contrast_list);
-
-
if (lex_match (lexer, T_SLASH))
{
if (!lex_force_match_id (lexer, "VARIABLES"))
- {
- goto error;
- }
+ goto error;
lex_match (lexer, T_EQUALS);
}
while (lex_token (lexer) != T_ENDCMD && lex_token (lexer) != T_SLASH)
{
if (lex_match_id (lexer, "DESCRIPTIVES"))
- {
- oneway.stats |= STATS_DESCRIPTIVES;
- }
+ oneway.descriptive_stats = true;
else if (lex_match_id (lexer, "HOMOGENEITY"))
- {
- oneway.stats |= STATS_HOMOGENEITY;
- }
+ oneway.homogeneity_stats = true;
else
{
- lex_error (lexer, NULL);
+ lex_error_expecting (lexer, "DESCRIPTIVES", "HOMOGENEITY");
goto error;
}
}
lex_match (lexer, T_EQUALS);
while (lex_token (lexer) != T_ENDCMD && lex_token (lexer) != T_SLASH)
{
- int p;
bool method = false;
- for (p = 0 ; p < sizeof (ph_tests) / sizeof (struct posthoc); ++p)
- {
- if (lex_match_id (lexer, ph_tests[p].syntax))
- {
- oneway.n_posthoc++;
- oneway.posthoc = xrealloc (oneway.posthoc, sizeof (*oneway.posthoc) * oneway.n_posthoc);
- oneway.posthoc[oneway.n_posthoc - 1] = p;
- method = true;
- break;
- }
- }
+ for (size_t p = 0; p < sizeof ph_tests / sizeof *ph_tests; ++p)
+ if (lex_match_id (lexer, ph_tests[p].syntax))
+ {
+ oneway.n_posthoc++;
+ oneway.posthoc = xrealloc (oneway.posthoc, sizeof (*oneway.posthoc) * oneway.n_posthoc);
+ oneway.posthoc[oneway.n_posthoc - 1] = p;
+ method = true;
+ break;
+ }
if (method == false)
{
if (lex_match_id (lexer, "ALPHA"))
{
- if (!lex_force_match (lexer, T_LPAREN))
- goto error;
- if (! lex_force_num (lexer))
+ if (!lex_force_match (lexer, T_LPAREN)
+ || !lex_force_num (lexer))
goto error;
oneway.alpha = lex_number (lexer);
lex_get (lexer);
}
else
{
- msg (SE, _("The post hoc analysis method %s is not supported."), lex_tokcstr (lexer));
- lex_error (lexer, NULL);
+ lex_error (lexer, _("Unknown post hoc analysis method."));
goto error;
}
}
}
else if (lex_match_id (lexer, "CONTRAST"))
{
- struct contrasts_node *cl = xzalloc (sizeof *cl);
+ struct contrasts_node *cl = XZALLOC (struct contrasts_node);
struct ll_list *coefficient_list = &cl->coefficient_list;
lex_match (lexer, T_EQUALS);
while (lex_token (lexer) != T_ENDCMD && lex_token (lexer) != T_SLASH)
{
- if (lex_is_number (lexer))
- {
- struct coeff_node *cc = xmalloc (sizeof *cc);
- cc->coeff = lex_number (lexer);
-
- ll_push_tail (coefficient_list, &cc->ll);
- lex_get (lexer);
- }
- else
+ if (!lex_force_num (lexer))
{
destroy_coeff_list (cl);
- lex_error (lexer, NULL);
goto error;
}
+
+ struct coeff_node *cc = xmalloc (sizeof *cc);
+ cc->coeff = lex_number (lexer);
+
+ ll_push_tail (coefficient_list, &cc->ll);
+ lex_get (lexer);
}
if (ll_count (coefficient_list) <= 0)
while (lex_token (lexer) != T_ENDCMD && lex_token (lexer) != T_SLASH)
{
if (lex_match_id (lexer, "INCLUDE"))
- {
- oneway.exclude = MV_SYSTEM;
- }
+ oneway.exclude = MV_SYSTEM;
else if (lex_match_id (lexer, "EXCLUDE"))
- {
- oneway.exclude = MV_ANY;
- }
+ oneway.exclude = MV_ANY;
else if (lex_match_id (lexer, "LISTWISE"))
- {
- oneway.missing_type = MISS_LISTWISE;
- }
+ oneway.missing_type = MISS_LISTWISE;
else if (lex_match_id (lexer, "ANALYSIS"))
- {
- oneway.missing_type = MISS_ANALYSIS;
- }
+ oneway.missing_type = MISS_ANALYSIS;
else
{
- lex_error (lexer, NULL);
+ lex_error_expecting (lexer, "INCLUDE", "EXCLUDE",
+ "LISTWISE", "ANALYSIS");
goto error;
}
}
}
else
{
- lex_error (lexer, NULL);
+ lex_error_expecting (lexer, "STATISTICS", "POSTHOC", "CONTRAST",
+ "MISSING");
goto error;
}
}
-
- {
- struct casegrouper *grouper;
- struct casereader *group;
- bool ok;
-
- grouper = casegrouper_create_splits (proc_open (ds), dict);
- while (casegrouper_get_next_group (grouper, &group))
- run_oneway (&oneway, group, ds);
- ok = casegrouper_destroy (grouper);
- ok = proc_commit (ds) && ok;
- }
+ struct casegrouper *grouper = casegrouper_create_splits (proc_open (ds), dict);
+ struct casereader *group;
+ while (casegrouper_get_next_group (grouper, &group))
+ run_oneway (&oneway, group, ds);
+ bool ok = casegrouper_destroy (grouper);
+ ok = proc_commit (ds) && ok;
oneway_cleanup (&oneway);
free (oneway.vars);
free (oneway.vars);
return CMD_FAILURE;
}
-
-
\f
-
-
static struct descriptive_data *
dd_create (const struct variable *var)
{
}
static void
-run_oneway (const struct oneway_spec *cmd,
- struct casereader *input,
+run_oneway (const struct oneway_spec *cmd, struct casereader *input,
const struct dataset *ds)
{
- int v;
- struct taint *taint;
struct dictionary *dict = dataset_dict (ds);
- struct casereader *reader;
- struct ccase *c;
-
- struct oneway_workspace ws;
-
- ws.actual_number_of_groups = 0;
- ws.vws = xzalloc (cmd->n_vars * sizeof (*ws.vws));
- ws.dd_total = xmalloc (sizeof (struct descriptive_data) * cmd->n_vars);
+ struct oneway_workspace ws = {
+ .vws = xcalloc (cmd->n_vars, sizeof *ws.vws),
+ .dd_total = XCALLOC (cmd->n_vars, struct descriptive_data *),
+ };
- for (v = 0 ; v < cmd->n_vars; ++v)
+ for (size_t v = 0; v < cmd->n_vars; ++v)
ws.dd_total[v] = dd_create (cmd->vars[v]);
- for (v = 0; v < cmd->n_vars; ++v)
+ for (size_t v = 0; v < cmd->n_vars; ++v)
{
static const struct payload payload =
{
.create = makeit,
.update = updateit,
- .calculate = NULL,
- .destroy = killit
+ .destroy = killit,
};
ws.vws[v].iact = interaction_create (cmd->indep_var);
ws.vws[v].nl = levene_create (var_get_width (cmd->indep_var), NULL);
}
- c = casereader_peek (input, 0);
- if (c == NULL)
- {
- casereader_destroy (input);
- goto finish;
- }
- output_split_file_values (ds, c);
- case_unref (c);
-
- taint = taint_clone (casereader_get_taint (input));
+ output_split_file_values_peek (ds, input);
+ struct taint *taint = taint_clone (casereader_get_taint (input));
input = casereader_create_filter_missing (input, &cmd->indep_var, 1,
cmd->exclude, NULL, NULL);
if (cmd->missing_type == MISS_LISTWISE)
cmd->exclude, NULL, NULL);
input = casereader_create_filter_weight (input, dict, NULL, NULL);
- reader = casereader_clone (input);
+ struct casereader *reader = casereader_clone (input);
+ struct ccase *c;
for (; (c = casereader_read (reader)) != NULL; case_unref (c))
{
- int i;
double w = dict_get_case_weight (dict, c, NULL);
- for (i = 0; i < cmd->n_vars; ++i)
+ for (size_t i = 0; i < cmd->n_vars; ++i)
{
struct per_var_ws *pvw = &ws.vws[i];
const struct variable *v = cmd->vars[i];
if (MISS_ANALYSIS == cmd->missing_type)
{
- if (var_is_value_missing (v, val, cmd->exclude))
+ if (var_is_value_missing (v, val) & cmd->exclude)
continue;
}
reader = casereader_clone (input);
for (; (c = casereader_read (reader)); case_unref (c))
{
- int i;
double w = dict_get_case_weight (dict, c, NULL);
- for (i = 0; i < cmd->n_vars; ++i)
+ for (size_t i = 0; i < cmd->n_vars; ++i)
{
struct per_var_ws *pvw = &ws.vws[i];
const struct variable *v = cmd->vars[i];
if (MISS_ANALYSIS == cmd->missing_type)
{
- if (var_is_value_missing (v, val, cmd->exclude))
+ if (var_is_value_missing (v, val) & cmd->exclude)
continue;
}
reader = casereader_clone (input);
for (; (c = casereader_read (reader)); case_unref (c))
{
- int i;
double w = dict_get_case_weight (dict, c, NULL);
- for (i = 0; i < cmd->n_vars; ++i)
+ for (size_t i = 0; i < cmd->n_vars; ++i)
{
struct per_var_ws *pvw = &ws.vws[i];
const struct variable *v = cmd->vars[i];
if (MISS_ANALYSIS == cmd->missing_type)
{
- if (var_is_value_missing (v, val, cmd->exclude))
+ if (var_is_value_missing (v, val) & cmd->exclude)
continue;
}
}
casereader_destroy (reader);
-
- for (v = 0; v < cmd->n_vars; ++v)
+ for (size_t v = 0; v < cmd->n_vars; ++v)
{
- const gsl_matrix *ucm;
- gsl_matrix *cm;
struct per_var_ws *pvw = &ws.vws[v];
- const struct categoricals *cats = covariance_get_categoricals (pvw->cov);
- const bool ok = categoricals_sane (cats);
- if (! ok)
+ const struct categoricals *cats = covariance_get_categoricals (pvw->cov);
+ if (!categoricals_sane (cats))
{
- msg (MW,
- _("Dependent variable %s has no non-missing values. No analysis for this variable will be done."),
+ msg (MW, _("Dependent variable %s has no non-missing values. "
+ "No analysis for this variable will be done."),
var_get_name (cmd->vars[v]));
continue;
}
- ucm = covariance_calculate_unnormalized (pvw->cov);
+ const gsl_matrix *ucm = covariance_calculate_unnormalized (pvw->cov);
- cm = gsl_matrix_alloc (ucm->size1, ucm->size2);
+ gsl_matrix *cm = gsl_matrix_alloc (ucm->size1, ucm->size2);
gsl_matrix_memcpy (cm, ucm);
moments1_calculate (ws.dd_total[v]->mom, &pvw->n, NULL, NULL, NULL, NULL);
pvw->mse = (pvw->sst - pvw->ssa) / (pvw->n - pvw->n_groups);
}
- for (v = 0; v < cmd->n_vars; ++v)
+ for (size_t v = 0; v < cmd->n_vars; ++v)
{
const struct categoricals *cats = covariance_get_categoricals (ws.vws[v].cov);
-
- if (! categoricals_is_complete (cats))
- {
- continue;
- }
-
- if (categoricals_n_total (cats) > ws.actual_number_of_groups)
- ws.actual_number_of_groups = categoricals_n_total (cats);
+ if (categoricals_is_complete (cats))
+ {
+ if (categoricals_n_total (cats) > ws.actual_number_of_groups)
+ ws.actual_number_of_groups = categoricals_n_total (cats);
+ }
}
-
casereader_destroy (input);
if (!taint_has_tainted_successor (taint))
taint_destroy (taint);
- finish:
-
- for (v = 0; v < cmd->n_vars; ++v)
+ for (size_t v = 0; v < cmd->n_vars; ++v)
{
covariance_destroy (ws.vws[v].cov);
levene_destroy (ws.vws[v].nl);
free (ws.dd_total);
}
-static void show_contrast_coeffs (const struct oneway_spec *cmd, const struct oneway_workspace *ws);
-static void show_contrast_tests (const struct oneway_spec *cmd, const struct oneway_workspace *ws);
-static void show_comparisons (const struct oneway_spec *cmd, const struct oneway_workspace *ws, int depvar);
+static void show_contrast_coeffs (const struct oneway_spec *, const struct oneway_workspace *);
+static void show_contrast_tests (const struct oneway_spec *, const struct oneway_workspace *);
+static void show_comparisons (const struct oneway_spec *, const struct oneway_workspace *, int depvar);
static void
output_oneway (const struct oneway_spec *cmd, struct oneway_workspace *ws)
{
- size_t i = 0;
+ size_t list_idx = 0;
/* Check the sanity of the given contrast values */
struct contrasts_node *coeff_list = NULL;
struct coeff_node *cn = NULL;
double sum = 0;
struct ll_list *cl = &coeff_list->coefficient_list;
- ++i;
+ ++list_idx;
if (ll_count (cl) != ws->actual_number_of_groups)
{
msg (SW,
_("In contrast list %zu, the number of coefficients (%zu) does not equal the number of groups (%d). This contrast list will be ignored."),
- i, ll_count (cl), ws->actual_number_of_groups);
+ list_idx, ll_count (cl), ws->actual_number_of_groups);
ll_remove (&coeff_list->ll);
destroy_coeff_list (coeff_list);
sum += cn->coeff;
if (sum != 0.0)
- msg (SW, _("Coefficients for contrast %zu do not total zero"), i);
+ msg (SW, _("Coefficients for contrast %zu do not total zero"),
+ list_idx);
}
- if (cmd->stats & STATS_DESCRIPTIVES)
+ if (cmd->descriptive_stats)
show_descriptives (cmd, ws);
- if (cmd->stats & STATS_HOMOGENEITY)
+ if (cmd->homogeneity_stats)
show_homogeneity (cmd, ws);
show_anova_table (cmd, ws);
}
if (cmd->posthoc)
- {
- int v;
- for (v = 0 ; v < cmd->n_vars; ++v)
- {
- const struct categoricals *cats = covariance_get_categoricals (ws->vws[v].cov);
+ for (size_t v = 0; v < cmd->n_vars; ++v)
+ {
+ const struct categoricals *cats = covariance_get_categoricals (ws->vws[v].cov);
- if (categoricals_is_complete (cats))
- show_comparisons (cmd, ws, v);
- }
- }
+ if (categoricals_is_complete (cats))
+ show_comparisons (cmd, ws, v);
+ }
}
double df1 = pvw->n_groups - 1;
double df2 = n - pvw->n_groups;
double msa = pvw->ssa / df1;
- double F = msa / pvw->mse ;
+ double F = msa / pvw->mse;
struct entry
{
moments1_calculate (dd->mom, &n, &mean, &variance, NULL, NULL);
double std_dev = sqrt (variance);
- double std_error = std_dev / sqrt (n) ;
+ double std_error = std_dev / sqrt (n);
double T = gsl_cdf_tdist_Qinv (q, n - 1);
double entries[] = {
NULL, NULL);
double std_dev = sqrt (variance);
- double std_error = std_dev / sqrt (n) ;
+ double std_error = std_dev / sqrt (n);
double T = gsl_cdf_tdist_Qinv (q, n - 1);
double entries[] = {
df_numerator = pow2 (df_numerator);
double std_error_contrast = sqrt (pvw->mse * coef_msq);
- double T = fabs (contrast_value / std_error_contrast);
+ double T = contrast_value / std_error_contrast;
double T_ne = contrast_value / sec_vneq;
double df_ne = df_numerator / df_denominator;
- double p_ne = gsl_cdf_tdist_P (T_ne, df_ne);
- double q_ne = gsl_cdf_tdist_Q (T_ne, df_ne);
struct entry
{
{ 1, 0, std_error_contrast },
{ 2, 0, T },
{ 3, 0, df },
- { 4, 0, 2 * gsl_cdf_tdist_Q (T, df) },
+ { 4, 0, 2 * gsl_cdf_tdist_Q (fabs(T), df) },
/* Do not assume equal. */
{ 0, 1, contrast_value },
{ 1, 1, sec_vneq },
{ 2, 1, T_ne },
{ 3, 1, df_ne },
- { 4, 1, 2 * (T > 0 ? q_ne : p_ne) },
+ { 4, 1, 2 * gsl_cdf_tdist_Q (fabs(T_ne), df_ne) },
};
for (size_t i = 0; i < sizeof entries / sizeof *entries; i++)
_("Multiple Comparisons (%s)"),
var_to_string (cmd->vars[v]))),
"Multiple Comparisons");
- table->omit_empty = true;
struct pivot_dimension *statistics = pivot_dimension_create (
table, PIVOT_AXIS_COLUMN, N_("Statistics"),
int test_idx = pivot_category_create_leaf (
test->root, pivot_value_new_text (ph->label));
- for (int i = 0; i < pvw->n_groups ; ++i)
+ for (int i = 0; i < pvw->n_groups; ++i)
{
struct descriptive_data *dd_i
= categoricals_get_user_data_by_category (cat, i);
double weight_i, mean_i, var_i;
moments1_calculate (dd_i->mom, &weight_i, &mean_i, &var_i, 0, 0);
- for (int j = 0 ; j < pvw->n_groups; ++j)
+ for (int j = 0; j < pvw->n_groups; ++j)
{
if (j == i)
continue;
projects / pspp / blobdiff