X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fcorrelations.c;h=995675e2cbf4b36cecab0e37ba7374df8e30c9a3;hb=b2be264914a7f376fa00d26de702c7077f086ca8;hp=605609a7d68cc559e42cc605cf2543f49e9a441d;hpb=50ac6802fc247814dc4dd6232f6304b928a2d78b;p=pspp

diff --git a/src/language/stats/correlations.c b/src/language/stats/correlations.c
index 605609a7d6..995675e2cb 100644
--- a/src/language/stats/correlations.c
+++ b/src/language/stats/correlations.c
@@ -19,7 +19,6 @@
 #include <libpspp/assertion.h>
 #include <math/covariance.h>
 #include <math/correlation.h>
-#include <math/design-matrix.h>
 #include <gsl/gsl_matrix.h>
 #include <data/casegrouper.h>
 #include <data/casereader.h>
@@ -30,8 +29,7 @@
 #include <language/dictionary/split-file.h>
 #include <language/lexer/lexer.h>
 #include <language/lexer/variable-parser.h>
-#include <output/manager.h>
-#include <output/table.h>
+#include <output/tab.h>
 #include <libpspp/message.h>
 #include <data/format.h>
 #include <math/moments.h>
@@ -94,9 +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);
 
@@ -189,9 +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);
 
@@ -284,16 +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,
+						    0, 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);