X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fcorrelations.c;h=6af8ba32ffd54cc32f8e84baa8f77ee0192eee1d;hb=97f9b8ad137e333af9b3c767556d28dfda93a461;hp=69d91d03c2b56bb9bc71f8c5e1294db4587416fa;hpb=c8345320e71591cbad5a8e4b0d97dee13d4afd0c;p=pspp-builds.git diff --git a/src/language/stats/correlations.c b/src/language/stats/correlations.c index 69d91d03..6af8ba32 100644 --- a/src/language/stats/correlations.c +++ b/src/language/stats/correlations.c @@ -18,7 +18,7 @@ #include #include -#include +#include #include #include #include @@ -29,8 +29,7 @@ #include #include #include -#include -#include +#include #include #include #include @@ -46,21 +45,6 @@ #define N_(msgid) msgid -static double -significance_of_correlation (double rho, double w) -{ - double t = w - 2; - t /= 1 - MIN (1, pow2 (rho)); - t = sqrt (t); - t *= rho; - - if (t > 0) - return gsl_cdf_tdist_Q (t, w - 2); - else - return gsl_cdf_tdist_P (t, w - 2); -} - - struct corr { size_t n_vars_total; @@ -108,9 +92,8 @@ output_descriptives (const struct corr *corr, const gsl_matrix *means, const int heading_columns = 1; const int heading_rows = 1; - struct tab_table *t = tab_create (nc, nr, 0); + struct tab_table *t = tab_create (nc, nr); tab_title (t, _("Descriptive Statistics")); - tab_dim (t, tab_natural_dimensions, NULL); tab_headers (t, heading_columns, 0, heading_rows, 0); @@ -203,9 +186,8 @@ output_correlation (const struct corr *corr, const struct corr_opts *opts, /* One header row */ nr += heading_rows; - t = tab_create (nc, nr, 0); + t = tab_create (nc, nr); tab_title (t, _("Correlations")); - tab_dim (t, tab_natural_dimensions, NULL); tab_headers (t, heading_columns, 0, heading_rows, 0); @@ -291,32 +273,6 @@ output_correlation (const struct corr *corr, const struct corr_opts *opts, } -static gsl_matrix * -correlation_from_covariance (const gsl_matrix *cv, const gsl_matrix *v) -{ - size_t i, j; - gsl_matrix *corr = gsl_matrix_calloc (cv->size1, cv->size2); - - for (i = 0 ; i < cv->size1; ++i) - { - for (j = 0 ; j < cv->size2; ++j) - { - double rho = gsl_matrix_get (cv, i, j); - - rho /= sqrt (gsl_matrix_get (v, i, j)) - * - sqrt (gsl_matrix_get (v, j, i)); - - gsl_matrix_set (corr, i, j, rho); - } - } - - return corr; -} - - - - static void run_corr (struct casereader *r, const struct corr_opts *opts, const struct corr *corr) { @@ -324,16 +280,25 @@ run_corr (struct casereader *r, const struct corr_opts *opts, const struct corr const gsl_matrix *var_matrix, *samples_matrix, *mean_matrix; const gsl_matrix *cov_matrix; gsl_matrix *corr_matrix; - struct covariance *cov = covariance_create (corr->n_vars_total, corr->vars, - opts->wv, opts->exclude); + struct covariance *cov = covariance_2pass_create (corr->n_vars_total, corr->vars, + NULL, + opts->wv, opts->exclude); + struct casereader *rc = casereader_clone (r); for ( ; (c = casereader_read (r) ); case_unref (c)) { - covariance_accumulate (cov, c); + covariance_accumulate_pass1 (cov, c); + } + + for ( ; (c = casereader_read (rc) ); case_unref (c)) + { + covariance_accumulate_pass2 (cov, c); } cov_matrix = covariance_calculate (cov); + casereader_destroy (rc); + samples_matrix = covariance_moments (cov, MOMENT_NONE); var_matrix = covariance_moments (cov, MOMENT_VARIANCE); mean_matrix = covariance_moments (cov, MOMENT_MEAN); @@ -432,8 +397,11 @@ cmd_correlation (struct lexer *lexer, struct dataset *ds) opts.statistics = STATS_DESCRIPTIVES; else if (lex_match_id (lexer, "XPROD")) opts.statistics = STATS_XPROD; - else if (lex_match_id (lexer, "ALL")) - opts.statistics = STATS_ALL; + else if (lex_token (lexer) == T_ALL) + { + opts.statistics = STATS_ALL; + lex_get (lexer); + } else { lex_error (lexer, NULL); @@ -530,10 +498,13 @@ cmd_correlation (struct lexer *lexer, struct dataset *ds) /* Done. */ + free (corr->vars); free (corr); + return ok ? CMD_SUCCESS : CMD_CASCADING_FAILURE; error: + free (corr->vars); free (corr); return CMD_FAILURE; }