X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fregression.q;h=b6ee6aaada8cb551f95a436fba119621076b620e;hb=b4c6c0abd5358cb64757bec30a42be300e9ccd0f;hp=6dc10821e5788a14753e6c6ad7060b2c2b03f6f1;hpb=8f69116a2c31b8aed0527e225c368b3466da6c8d;p=pspp-builds.git diff --git a/src/language/stats/regression.q b/src/language/stats/regression.q index 6dc10821..b6ee6aaa 100644 --- a/src/language/stats/regression.q +++ b/src/language/stats/regression.q @@ -1,5 +1,5 @@ /* PSPP - a program for statistical analysis. - Copyright (C) 2005, 2009 Free Software Foundation, Inc. + Copyright (C) 2005, 2009, 2010 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 @@ -206,7 +206,7 @@ reg_stats_coeff (linreg * c, void *aux_) tab_double (t, 4, 1, 0, 0.0, NULL); t_stat = linreg_intercept (c) / std_err; tab_double (t, 5, 1, 0, t_stat, NULL); - pval = 2 * gsl_cdf_tdist_Q (fabs (t_stat), 1.0); + pval = 2 * gsl_cdf_tdist_Q (fabs (t_stat), (double) (linreg_n_obs (c) - linreg_n_coeffs (c))); tab_double (t, 6, 1, 0, pval, NULL); for (j = 0; j < linreg_n_coeffs (c); j++) { @@ -752,10 +752,10 @@ regression_custom_variables (struct lexer *lexer, struct dataset *ds, { const struct dictionary *dict = dataset_dict (ds); - lex_match (lexer, '='); + lex_match (lexer, T_EQUALS); if ((lex_token (lexer) != T_ID - || dict_lookup_var (dict, lex_tokid (lexer)) == NULL) + || dict_lookup_var (dict, lex_tokcstr (lexer)) == NULL) && lex_token (lexer) != T_ALL) return 2; @@ -810,7 +810,7 @@ fill_covariance (gsl_matrix *cov, struct covariance *all_cov, size_t dep_subscript; size_t *rows; const gsl_matrix *ssizes; - const gsl_matrix *cm; + gsl_matrix *cm; const gsl_matrix *mean_matrix; const gsl_matrix *ssize_matrix; double result = 0.0; @@ -862,6 +862,7 @@ fill_covariance (gsl_matrix *cov, struct covariance *all_cov, gsl_matrix_set (cov, cov->size1 - 1, cov->size1 - 1, gsl_matrix_get (cm, dep_subscript, dep_subscript)); free (rows); + gsl_matrix_free (cm); return result; } static size_t @@ -928,7 +929,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, const struct variable *dep_var; struct casereader *reader; const struct dictionary *dict; - gsl_matrix *this_cm; + size_t n_all_vars; assert (models != NULL); @@ -955,7 +956,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, { dict_get_vars (dict, &v_variables, &n_variables, 0); } - size_t n_all_vars = get_n_all_vars (cmd); + n_all_vars = get_n_all_vars (cmd); all_vars = xnmalloc (n_all_vars, sizeof (*all_vars)); fill_all_vars (all_vars, cmd); vars = xnmalloc (n_variables, sizeof (*vars)); @@ -973,6 +974,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, for (k = 0; k < cmd->n_dependent; k++) { + gsl_matrix *this_cm; dep_var = cmd->v_dependent[k]; n_indep = identify_indep_vars (vars, dep_var); @@ -1014,6 +1016,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, linreg_free (models[k]); models[k] = NULL; } + gsl_matrix_free (this_cm); } casereader_destroy (reader);