fixed mistakes

[pspp-builds.git] / src / math / ts / innovations.c

diff --git a/src/math/ts/innovations.c b/src/math/ts/innovations.c
index dba4484950928648ca28f1aa24df4c64c8926bc5..43d86ec1677c8c9bb381f59b23109da8f09940f5 100644 (file)
--- a/src/math/ts/innovations.c
+++ b/src/math/ts/innovations.c
@@ -38,9 +38,7 @@
 #include <libpspp/compiler.h>
 #include <libpspp/message.h>
 #include <math/coefficient.h>
-#include <math/innovations.h>
-#include <gettext.h>
-#define _(msgid) gettext (msgid)
+#include <math/ts/innovations.h>
 
 static void
 get_mean_variance (size_t n_vars, const struct casefile *cf,
@@ -48,13 +46,10 @@ get_mean_variance (size_t n_vars, const struct casefile *cf,
                   
 {
   struct casereader *r;
-  struct ccase *c;
-  struct ccase *c2;
+  struct ccase c;
   size_t n;
-  double *x;
   double d;
-  double tmp;
-  double variance;
+  const union value *tmp;
 
   for (n = 0; n < n_vars; n++)
     {
@@ -67,10 +62,10 @@ get_mean_variance (size_t n_vars, const struct casefile *cf,
     {
       for (n = 0; n < n_vars; n++)
        {
-         if (!mv_is_value_missing (&v->miss, val))
+         tmp = case_data (&c, est[n]->variable->fv);
+         if (!mv_is_value_missing (&(est[n]->variable->miss), tmp))
            {
-             tmp = case_data (&c, est[n]->variable->fv);
-             d = (tmp - est[n]->mean) / est[n]->n_obs;
+             d = (tmp->f - est[n]->mean) / est[n]->n_obs;
              est[n]->mean += d;
              est[n]->variance += est[n]->n_obs * est[n]->n_obs * d * d;
              est[n]->n_obs += 1.0;
@@ -93,10 +88,10 @@ innovations_init_cases (struct casereader *r, struct ccase **c, size_t max_lag)
   bool value = true;
   size_t lag = 0;
 
-  while (value)
+  while (value && lag < max_lag)
     {
       lag++;
-      value = casereader_read (r, c + lag);
+      value = casereader_read (r, c[lag]);
     }
   return value;
 }
@@ -114,27 +109,28 @@ innovations_update_cases (struct casereader *r, struct ccase **c, size_t max_lag
     {
       c[lag] = c[lag+1];
     }
-  value = casereader_read (r, c + lag);
+  value = casereader_read (r, c[lag]);
   return value;
 }
 static void
 get_covariance (size_t n_vars, const struct casefile *cf, 
-               struct innovations **est, size_t max_lag)
+               struct innovations_estimate **est, size_t max_lag)
 {
   struct casereader *r;
   struct ccase **c;
-  struct ccase *cur_case;
   size_t lag;
-  size_t n_vars;
+  size_t n;
   bool read_case = false;
   double d;
-  double tmp;
+  double x;
+  const union value *tmp;
+  const union value *tmp2;
 
   c = xnmalloc (max_lag, sizeof (*c));
   
   for (lag = 0; lag < max_lag; lag++)
     {
-      c[lag] = xmalloc (sizeof *c[i]);
+      c[lag] = xmalloc (sizeof *c[lag]);
     }
 
   r = casefile_get_reader (cf);
@@ -144,17 +140,17 @@ get_covariance (size_t n_vars, const struct casefile *cf,
     {
       for (n = 0; n < n_vars; n++)
        {
-         cur_case = case_data (c[0], est[n]->variable->fv);
-         if (!mv_is_value_missing (&est[n]->variable->miss, cur_case))
+         tmp2 = case_data (c[0], est[n]->variable->fv);
+         if (!mv_is_value_missing (&est[n]->variable->miss, tmp2))
            {
-             cur_case -= est[n]->mean;
+             x = tmp2->f - est[n]->mean;
              for (lag = 1; lag <= max_lag; lag++)
                {
                  tmp = case_data (c[lag], est[n]->variable->fv);
                  if (!mv_is_value_missing (&est[n]->variable->miss, tmp))
                    {
-                     d = (tmp - est[n]->mean);
-                     *(est[n]->cov + lag) += d * cur_case;
+                     d = (tmp->f - est[n]->mean);
+                     *(est[n]->cov + lag) += d * x;
                    }
                }
            }
@@ -179,9 +175,8 @@ struct innovations_estimate ** pspp_innovations (const struct variable **vars, s
                                                 size_t lag, const struct casefile *cf)
 {
   struct innovations_estimate **est;
-  struct casereader *r;
-  struct ccase *c;
   size_t i;
+  size_t j;
 
   est = xnmalloc (*n_vars, sizeof *est);
   for (i = 0; i < *n_vars; i++)
@@ -196,14 +191,14 @@ struct innovations_estimate ** pspp_innovations (const struct variable **vars, s
          est[i]->coeff = xnmalloc (lag, sizeof (*est[i]->coeff));
          for (j = 0; j < lag; j++)
            {
-             est[i]->coeff + j = xmalloc (sizeof (*(est[i]->coeff + j)));
+             est[i]->coeff[j] = xmalloc (sizeof (*(est[i]->coeff + j)));
            }
        }
       else
        {
          *n_vars--;
-         msg (MW, _("Cannot compute autocovariance for a non-numeric variable %s"),
-                    var_to_string (vars[i]));
+/*       msg (MW, _("Cannot compute autocovariance for a non-numeric variable %s"), */
+/*                  var_to_string (vars[i])); */
        }
     }
 
@@ -212,4 +207,6 @@ struct innovations_estimate ** pspp_innovations (const struct variable **vars, s
    */
   get_mean_variance (*n_vars, cf, est);
   get_covariance (*n_vars, cf, est, lag);
+  
+  return est;
 }