X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fregression.q;h=869f32a716ee0c719fc7e247f40f6015b58f285f;hb=6bae018e92d45abceef4224117a147f87f2853a9;hp=1f2ac2a6bac15051def19c85dc6b7e1af180dcde;hpb=dc78471910e82d59232ce9b137b7c4fc4992d174;p=pspp-builds.git diff --git a/src/language/stats/regression.q b/src/language/stats/regression.q index 1f2ac2a6..869f32a7 100644 --- a/src/language/stats/regression.q +++ b/src/language/stats/regression.q @@ -1,20 +1,18 @@ -/* PSPP - linear regression. +/* PSPP - a program for statistical analysis. Copyright (C) 2005 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 the Free Software Foundation; either version 2 of the - License, or (at your option) any later version. + 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 + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. - This program is distributed in the hope that it will be useful, but - WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - General Public License for more details. + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA - 02110-1301, USA. */ + along with this program. If not, see . */ #include @@ -119,14 +117,14 @@ static size_t n_variables; /* File where the model will be saved if the EXPORT subcommand - is given. + is given. */ static struct file_handle *model_file; static bool run_regression (struct casereader *, struct cmd_regression *, struct dataset *); -/* +/* STATISTICS subcommand output functions. */ static void reg_stats_r (pspp_linreg_cache *); @@ -454,8 +452,8 @@ statistics_keyword_output (void (*function) (pspp_linreg_cache *), static void subcommand_statistics (int *keywords, pspp_linreg_cache * c) { - /* - The order here must match the order in which the STATISTICS + /* + The order here must match the order in which the STATISTICS keywords appear in the specification section above. */ enum @@ -628,7 +626,7 @@ regression_trns_resid_proc (void *t_, struct ccase *c, return TRNS_CONTINUE; } -/* +/* Returns false if NAME is a duplicate of any existing variable name. */ static bool @@ -1042,7 +1040,7 @@ prepare_categories (struct casereader *input, cat_stored_values_create (vars[i]); n_data = 0; - for (; casereader_read (input, &c); case_destroy (&c)) + for (; casereader_read (input, &c); case_destroy (&c)) { /* The second condition ensures the program will run even if @@ -1052,12 +1050,12 @@ prepare_categories (struct casereader *input, for (i = 0; i < n_vars; i++) { const union value *val = case_data (&c, vars[i]); - if (var_is_alpha (vars[i])) - cat_value_update (vars[i], val); + if (var_is_alpha (vars[i])) + cat_value_update (vars[i], val); else moments1_add (mom[i].m, val->f, 1.0); } - n_data++; + n_data++; } casereader_destroy (input); @@ -1161,7 +1159,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, casenumber row; struct ccase c; size_t n_data; /* Number of valid cases. */ - + dep_var = cmd->v_dependent[k]; n_indep = identify_indep_vars (indep_vars, dep_var); @@ -1221,7 +1219,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, */ coeff_init (models[k], X); - /* + /* Find the least-squares estimates and other statistics. */ pspp_linreg ((const gsl_vector *) Y, X->m, &lopts, models[k]); @@ -1230,7 +1228,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, if (!taint_has_tainted_successor (casereader_get_taint (input))) { subcommand_statistics (cmd->a_statistics, models[k]); - subcommand_export (cmd->sbc_export, models[k]); + subcommand_export (cmd->sbc_export, models[k]); } gsl_vector_free (Y); @@ -1249,7 +1247,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd, } /* - Local Variables: + Local Variables: mode: c End: */