X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Foneway.c;h=70e6a3d0d84c909f9c5f20a477c25a7f0b147c72;hb=ab90b7f68c2151df4caaf376c7200443d1cf9f5e;hp=2c401f56270de4c6f97852c300bd583d6ebd6189;hpb=a1f410c3ad34e83d60eb8c038946d8a0c72ce0d3;p=pspp diff --git a/src/language/stats/oneway.c b/src/language/stats/oneway.c index 2c401f5627..70e6a3d0d8 100644 --- a/src/language/stats/oneway.c +++ b/src/language/stats/oneway.c @@ -1,5 +1,5 @@ /* PSPP - a program for statistical analysis. - Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2012 Free Software Foundation, Inc. + Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011, 2012, 2013 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 @@ -52,6 +52,7 @@ /* Workspace variable for each dependent variable */ struct per_var_ws { + struct interaction *iact; struct categoricals *cat; struct covariance *cov; struct levene *nl; @@ -164,6 +165,9 @@ df_individual (const struct per_var_ws *pvw UNUSED, const struct moments1 *mom_i moments1_calculate (mom_i, &n_i, NULL, &var_i, 0, 0); moments1_calculate (mom_j, &n_j, NULL, &var_j, 0, 0); + + if ( n_i <= 1.0 || n_j <= 1.0) + return SYSMIS; nom = pow2 (var_i/n_i + var_j/n_j); denom = pow2 (var_i/n_i) / (n_i - 1) + pow2 (var_j/n_j) / (n_j - 1); @@ -191,6 +195,9 @@ static double sidak_pinv (double std_err, double alpha, double df, int k, const static double tukey_pinv (double std_err, double alpha, double df, int k, const struct moments1 *mom_i UNUSED, const struct moments1 *mom_j UNUSED) { + if ( k < 2 || df < 2) + return SYSMIS; + return std_err / sqrt (2.0) * qtukey (1 - alpha, 1.0, k, df, 1, 0); } @@ -211,6 +218,9 @@ static double gh_pinv (double std_err UNUSED, double alpha, double df, int k, co m = sqrt ((var_i/n_i + var_j/n_j) / 2.0); + if ( k < 2 || df < 2) + return SYSMIS; + return m * qtukey (1 - alpha, 1.0, k, df, 1, 0); } @@ -224,6 +234,8 @@ multiple_comparison_sig (double std_err, int k = pvw->n_groups; double df = ph->dff (pvw, dd_i->mom, dd_j->mom); double ts = ph->tsf (k, dd_i->mom, dd_j->mom, std_err); + if ( df == SYSMIS) + return SYSMIS; return ph->p1f (ts, k - 1, df); } @@ -232,13 +244,20 @@ mc_half_range (const struct oneway_spec *cmd, const struct per_var_ws *pvw, doub { int k = pvw->n_groups; double df = ph->dff (pvw, dd_i->mom, dd_j->mom); + if ( df == SYSMIS) + return SYSMIS; return ph->pinv (std_err, cmd->alpha, df, k, dd_i->mom, dd_j->mom); } static double tukey_1tailsig (double ts, double df1, double df2) { - double twotailedsig = 1.0 - ptukey (ts, 1.0, df1 + 1, df2, 1, 0); + double twotailedsig; + + if (df2 < 2 || df1 < 1) + return SYSMIS; + + twotailedsig = 1.0 - ptukey (ts, 1.0, df1 + 1, df2, 1, 0); return twotailedsig / 2.0; } @@ -366,6 +385,37 @@ static void show_homogeneity (const struct oneway_spec *, const struct oneway_wo static void output_oneway (const struct oneway_spec *, struct oneway_workspace *ws); static void run_oneway (const struct oneway_spec *cmd, struct casereader *input, const struct dataset *ds); + +static void +destroy_coeff_list (struct contrasts_node *coeff_list) +{ + struct coeff_node *cn = NULL; + struct coeff_node *cnx = NULL; + struct ll_list *cl = &coeff_list->coefficient_list; + + ll_for_each_safe (cn, cnx, struct coeff_node, ll, cl) + { + free (cn); + } + + free (coeff_list); +} + +static void +oneway_cleanup (struct oneway_spec *cmd) +{ + struct contrasts_node *coeff_list = NULL; + struct contrasts_node *coeff_next = NULL; + ll_for_each_safe (coeff_list, coeff_next, struct contrasts_node, ll, &cmd->contrast_list) + { + destroy_coeff_list (coeff_list); + } + + free (cmd->posthoc); +} + + + int cmd_oneway (struct lexer *lexer, struct dataset *ds) { @@ -487,6 +537,7 @@ cmd_oneway (struct lexer *lexer, struct dataset *ds) } else { + destroy_coeff_list (cl); lex_error (lexer, NULL); goto error; } @@ -542,10 +593,12 @@ cmd_oneway (struct lexer *lexer, struct dataset *ds) ok = proc_commit (ds) && ok; } + oneway_cleanup (&oneway); free (oneway.vars); return CMD_SUCCESS; error: + oneway_cleanup (&oneway); free (oneway.vars); return CMD_FAILURE; } @@ -584,6 +637,15 @@ makeit (const void *aux1, void *aux2 UNUSED) return dd; } +static void +killit (const void *aux1 UNUSED, void *aux2 UNUSED, void *user_data) +{ + struct descriptive_data *dd = user_data; + + dd_destroy (dd); +} + + static void updateit (const void *aux1, void *aux2, void *user_data, const struct ccase *c, double weight) @@ -641,14 +703,15 @@ run_oneway (const struct oneway_spec *cmd, for (v = 0; v < cmd->n_vars; ++v) { - struct interaction *inter = interaction_create (cmd->indep_var); - struct payload payload; payload.create = makeit; payload.update = updateit; + payload.calculate = NULL; + payload.destroy = killit; - ws.vws[v].cat = categoricals_create (&inter, 1, cmd->wv, - cmd->exclude); + ws.vws[v].iact = interaction_create (cmd->indep_var); + ws.vws[v].cat = categoricals_create (&ws.vws[v].iact, 1, cmd->wv, + cmd->exclude, cmd->exclude); categoricals_set_payload (ws.vws[v].cat, &payload, CONST_CAST (struct variable *, cmd->vars[v]), @@ -752,10 +815,11 @@ run_oneway (const struct oneway_spec *cmd, for (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_done (cats); + const bool ok = categoricals_sane (cats); if ( ! ok) { @@ -765,7 +829,10 @@ run_oneway (const struct oneway_spec *cmd, continue; } - cm = covariance_calculate_unnormalized (pvw->cov); + ucm = covariance_calculate_unnormalized (pvw->cov); + + 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); @@ -774,14 +841,13 @@ run_oneway (const struct oneway_spec *cmd, reg_sweep (cm, 0); pvw->sse = gsl_matrix_get (cm, 0, 0); + gsl_matrix_free (cm); pvw->ssa = pvw->sst - pvw->sse; pvw->n_groups = categoricals_n_total (cats); pvw->mse = (pvw->sst - pvw->ssa) / (pvw->n - pvw->n_groups); - - gsl_matrix_free (cm); } for (v = 0; v < cmd->n_vars; ++v) @@ -805,12 +871,15 @@ run_oneway (const struct oneway_spec *cmd, taint_destroy (taint); finish: + for (v = 0; v < cmd->n_vars; ++v) { covariance_destroy (ws.vws[v].cov); levene_destroy (ws.vws[v].nl); dd_destroy (ws.dd_total[v]); + interaction_destroy (ws.vws[v].iact); } + free (ws.vws); free (ws.dd_total); } @@ -841,6 +910,7 @@ output_oneway (const struct oneway_spec *cmd, struct oneway_workspace *ws) i, ll_count (cl), ws->actual_number_of_groups); ll_remove (&coeff_list->ll); + destroy_coeff_list (coeff_list); continue; } @@ -905,7 +975,7 @@ show_anova_table (const struct oneway_spec *cmd, const struct oneway_workspace * tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("df")); tab_text (t, 4, 0, TAB_CENTER | TAT_TITLE, _("Mean Square")); tab_text (t, 5, 0, TAB_CENTER | TAT_TITLE, _("F")); - tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("Significance")); + tab_text (t, 6, 0, TAB_CENTER | TAT_TITLE, _("Sig.")); for (i = 0; i < cmd->n_vars; ++i) @@ -1152,7 +1222,7 @@ show_homogeneity (const struct oneway_spec *cmd, const struct oneway_workspace * 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, 4, 0, TAB_CENTER | TAT_TITLE, _("Sig.")); tab_title (t, _("Test of Homogeneity of Variances")); @@ -1504,7 +1574,7 @@ show_comparisons (const struct oneway_spec *cmd, const struct oneway_workspace * tab_vline (t, TAL_2, heading_cols, 0, n_rows - 1); - tab_title (t, _("Multiple Comparisons")); + tab_title (t, _("Multiple Comparisons (%s)"), var_to_string (cmd->vars[v])); tab_text_format (t, 1, 1, TAB_LEFT | TAT_TITLE, _("(I) %s"), var_to_string (cmd->indep_var)); tab_text_format (t, 2, 1, TAB_LEFT | TAT_TITLE, _("(J) %s"), var_to_string (cmd->indep_var));