X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fbinomial.c;h=b62b4dce1375a11c11030ca299de2284141261b9;hb=4aa2ac7ebf21370681326bb03182dac973f23a29;hp=39b8506d53edb7f184df01831522e0da7511217e;hpb=c41f14854e73ad44824b54933ae96eb52f781fc2;p=pspp diff --git a/src/language/stats/binomial.c b/src/language/stats/binomial.c index 39b8506d53..b62b4dce13 100644 --- a/src/language/stats/binomial.c +++ b/src/language/stats/binomial.c @@ -1,5 +1,5 @@ /* PSPP - a program for statistical analysis. - Copyright (C) 2006 Free Software Foundation, Inc. + Copyright (C) 2006, 2009 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 @@ -41,7 +41,6 @@ #include #include -#include #include @@ -79,7 +78,7 @@ calculate_binomial_internal (double n1, double n2, double p) /* SPSS Statistical Algorithms has completely different and WRONG advice here. */ - double sig1tailed = gslextras_cdf_binomial_P (n1, n1 + n2, p); + double sig1tailed = gsl_cdf_binomial_P (n1, p, n1 + n2); if ( p == 0.5 ) return sig1tailed > 0.5 ? 1.0 :sig1tailed * 2.0; @@ -99,41 +98,41 @@ do_binomial (const struct dictionary *dict, bool warn = true; const struct one_sample_test *ost = (const struct one_sample_test *) bst; - struct ccase c; + struct ccase *c; - while (casereader_read(input, &c)) + while ((c = casereader_read(input)) != NULL) { int v; - double w = dict_get_case_weight (dict, &c, &warn); + double w = dict_get_case_weight (dict, c, &warn); for (v = 0 ; v < ost->n_vars ; ++v ) { const struct variable *var = ost->vars[v]; - const union value *value = case_data (&c, var); + const union value *value = case_data (c, var); int width = var_get_width (var); if (var_is_value_missing (var, value, exclude)) - break; + continue; if ( NULL == cat1[v].value ) { cat1[v].value = value_dup (value, width); cat1[v].count = w; } - else if ( 0 == compare_values (cat1[v].value, value, width)) + else if ( 0 == compare_values_short (cat1[v].value, value, var)) cat1[v].count += w; else if ( NULL == cat2[v].value ) { cat2[v].value = value_dup (value, width); cat2[v].count = w; } - else if ( 0 == compare_values (cat2[v].value, value, width)) + else if ( 0 == compare_values_short (cat2[v].value, value, var)) cat2[v].count += w; else if ( bst->category1 == SYSMIS) msg (ME, _("Variable %s is not dichotomous"), var_get_name (var)); } - case_destroy (&c); + case_unref (c); } return casereader_destroy (input); } @@ -144,7 +143,9 @@ void binomial_execute (const struct dataset *ds, struct casereader *input, enum mv_class exclude, - const struct npar_test *test) + const struct npar_test *test, + bool exact UNUSED, + double timer UNUSED) { int v; const struct binomial_test *bst = (const struct binomial_test *) test; @@ -157,16 +158,20 @@ binomial_execute (const struct dataset *ds, if ( bst->category1 != SYSMIS ) { + int i; union value v; v.f = bst->category1; - cat1->value = value_dup (&v, 0); + for (i = 0; i < ost->n_vars; i++) + cat1[i].value = value_dup (&v, 0); } if ( bst->category2 != SYSMIS ) { + int i; union value v; v.f = bst->category2; - cat2->value = value_dup (&v, 0); + for (i = 0; i < ost->n_vars; i++) + cat2[i].value = value_dup (&v, 0); } if (do_binomial (dataset_dict(ds), input, bst, cat1, cat2, exclude))