X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fbinomial.c;h=5022cebddd35dbe98994ff193e878e6dcb87d4dd;hb=c3ac5a8af9c449072c7e872ca70a78c1755ae309;hp=f82647a405b176c5fa95f5ab90c4e864524e6ed4;hpb=9f087e7aa4cdff1d5d46d5e188c0017a9d2d0029;p=pspp-builds.git diff --git a/src/language/stats/binomial.c b/src/language/stats/binomial.c index f82647a4..5022cebd 100644 --- a/src/language/stats/binomial.c +++ b/src/language/stats/binomial.c @@ -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; @@ -120,14 +119,14 @@ do_binomial (const struct dictionary *dict, 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 (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 (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)); @@ -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; @@ -185,7 +186,16 @@ binomial_execute (const struct dataset *ds, for (v = 0 ; v < ost->n_vars; ++v) { double n_total, sig; + struct string catstr1; + struct string catstr2; const struct variable *var = ost->vars[v]; + + ds_init_empty (&catstr1); + ds_init_empty (&catstr2); + + var_append_value_name (var, cat1[v].value, &catstr1); + var_append_value_name (var, cat2[v].value, &catstr2); + tab_hline (table, TAL_1, 0, tab_nc (table) -1, 1 + v * 3); /* Titles */ @@ -198,10 +208,8 @@ binomial_execute (const struct dataset *ds, tab_float (table, 5, 1 + v * 3, TAB_NONE, bst->p, 8, 3); /* Category labels */ - tab_text (table, 2, 1 + v * 3, TAB_NONE, - var_get_value_name (var, cat1[v].value)); - tab_text (table, 2, 2 + v * 3, TAB_NONE, - var_get_value_name (var, cat2[v].value)); + tab_text (table, 2, 1 + v * 3, TAB_NONE, ds_cstr (&catstr1)); + tab_text (table, 2, 2 + v * 3, TAB_NONE, ds_cstr (&catstr2)); /* Observed N */ tab_float (table, 3, 1 + v * 3, TAB_NONE, cat1[v].count, 8, 0); @@ -221,6 +229,9 @@ binomial_execute (const struct dataset *ds, /* Significance */ sig = calculate_binomial (cat1[v].count, cat2[v].count, bst->p); tab_float (table, 6, 1 + v * 3, TAB_NONE, sig, 8, 3); + + ds_destroy (&catstr1); + ds_destroy (&catstr2); } tab_text (table, 2, 0, TAB_CENTER, _("Category"));