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[Pspp-cvs] pspp/src/math/linreg linreg.h


From: Jason H Stover
Subject: [Pspp-cvs] pspp/src/math/linreg linreg.h
Date: Sun, 09 Apr 2006 12:39:32 +0000

CVSROOT:        /sources/pspp
Module name:    pspp
Branch:         
Changes by:     Jason H Stover <address@hidden> 06/04/09 12:39:32

Modified files:
        src/math/linreg: linreg.h 

Log message:
        fix predict and residual declaration

CVSWeb URLs:
http://cvs.savannah.gnu.org/viewcvs/pspp/pspp/src/math/linreg/linreg.h.diff?tr1=1.3&tr2=1.4&r1=text&r2=text

Patches:
Index: pspp/src/math/linreg/linreg.h
diff -u pspp/src/math/linreg/linreg.h:1.3 pspp/src/math/linreg/linreg.h:1.4
--- pspp/src/math/linreg/linreg.h:1.3   Fri Apr  7 19:37:13 2006
+++ pspp/src/math/linreg/linreg.h       Sun Apr  9 12:39:32 2006
@@ -1,23 +1,22 @@
-/* lib/linreg/linreg.h
-
- Copyright (C) 2005 Free Software Foundation, Inc.
- Written by Jason H. Stover.
-
- 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
- the Free Software Foundation; either version 2 of the License, or (at
- your option) any later version.
-
- This program is distributed in the hope that it will be useful, but
- WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
- General Public License for more details.
-
- You should have received a copy of the GNU General Public License
- along with this program; if not, write to the Free Software
- Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
- 02111-1307, USA.
-*/
+/*
+ * lib/linreg/linreg.h
+ * 
+ * Copyright (C) 2005 Free Software Foundation, Inc. Written by Jason H. 
Stover.
+ * 
+ * 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 the Free
+ * Software Foundation; either version 2 of the License, or (at your option)
+ * any later version.
+ * 
+ * This program is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for
+ * more details.
+ * 
+ * You should have received a copy of the GNU General Public License along with
+ * this program; if not, write to the Free Software Foundation, Inc., 51
+ * Franklin Street, Fifth Floor, Boston, MA 02111-1307, USA.
+ */
 
 #ifndef LINREG_H
 #define LINREG_H
@@ -26,7 +25,7 @@
 #include <gsl/gsl_vector.h>
 #include <gsl/gsl_matrix.h>
 
-struct variable ;
+struct variable;
 struct pspp_linreg_coeff;
 union value;
 
@@ -46,20 +45,26 @@
   int resid;                   /* Should the residuals be returned? */
 
   int get_depvar_mean_std;
-  int *get_indep_mean_std;     /* Array of booleans dictating which
-                                  independent variables need their means
-                                  and standard deviations computed within
-                                  pspp_linreg. This array MUST be of
-                                  length n_indeps. If element i is 1,
-                                  pspp_linreg will compute the mean and
-                                  variance of indpendent variable i. If
-                                  element i is 0, it will not compute the
-                                  mean and standard deviation, and assume
-                                  the values are stored.
-                                  cache->indep_mean[i] is the mean and
-                                  cache->indep_std[i] is the sample
-                                  standard deviation.
-                                */
+  int *get_indep_mean_std;     /* Array of booleans
+                                * dictating which
+                                * independent variables need
+                                * their means and standard
+                                * deviations computed within
+                                * pspp_linreg. This array
+                                * MUST be of length
+                                * n_indeps. If element i is
+                                * 1, pspp_linreg will
+                                * compute the mean and
+                                * variance of indpendent
+                                * variable i. If element i
+                                * is 0, it will not compute
+                                * the mean and standard
+                                * deviation, and assume the
+                                * values are stored.
+                                * cache->indep_mean[i] is
+                                * the mean and
+                                * cache->indep_std[i] is the
+                                * sample standard deviation. */
 };
 typedef struct pspp_linreg_opts_struct pspp_linreg_opts;
 
@@ -69,7 +74,7 @@
 
   Y = Xb + Z
 
-  where Y is an n-by-1 column vector, X is an n-by-p matrix of 
+  where Y is an n-by-1 column vector, X is an n-by-p matrix of
   independent variables, b is a p-by-1 vector of regression coefficients,
   and Z is an n-by-1 normally-distributed random vector with independent
   identically distributed components with mean 0.
@@ -97,11 +102,10 @@
   int n_indeps;                        /* Number of independent variables. */
   int n_coeffs;
 
-  /* 
-     The variable struct is ignored during estimation.
-     It is here so the calling procedure can
-     find the variable used in the model.
-  */
+  /*
+   * The variable struct is ignored during estimation. It is here so
+   * the calling procedure can find the variable used in the model.
+   */
   const struct variable *depvar;
 
   gsl_vector *residuals;
@@ -125,19 +129,18 @@
      Sums of squares.
    */
   double ssm;                  /* Sums of squares for the overall model. */
-  gsl_vector *ss_indeps;       /* Sums of squares from each 
-                                  independent variable. 
-                                */
+  gsl_vector *ss_indeps;       /* Sums of squares from each
+                                * independent variable. */
   double sst;                  /* Sum of squares total. */
   double sse;                  /* Sum of squares error. */
-  double mse;                  /* Mean squared error. This is just sse / dfe, 
but
-                                  since it is the best unbiased estimate of 
the population
-                                  variance, it has its own entry here.
-                                */
-  gsl_vector *ssx;             /* Centered sums of squares for independent 
variables,
-                                  i.e. \sum (x[i] - mean(x))^2. 
-                                */
-  double ssy;                  /* Centered sums of squares for dependent 
variable. */
+  double mse;                  /* Mean squared error. This is just sse /
+                                * dfe, but since it is the best unbiased
+                                * estimate of the population variance, it
+                                * has its own entry here. */
+  gsl_vector *ssx;             /* Centered sums of squares for independent
+                                * variables, i.e. \sum (x[i] - mean(x))^2. */
+  double ssy;                  /* Centered sums of squares for dependent
+                                * variable. */
   /*
      Covariance matrix of the parameter estimates.
    */
@@ -154,6 +157,9 @@
      design matrix.
    */
   gsl_matrix *hat;
+
+  double (*predict) (const struct variable *, const union value *,
+                    const void *, int);
 };
 
 typedef struct pspp_linreg_cache_struct pspp_linreg_cache;
@@ -162,26 +168,26 @@
 
 /*
   Allocate a pspp_linreg_cache and return a pointer
-  to it. n is the number of cases, p is the number of 
+  to it. n is the number of cases, p is the number of
   independent variables.
  */
-pspp_linreg_cache * pspp_linreg_cache_alloc (size_t n, size_t p);
+pspp_linreg_cache *pspp_linreg_cache_alloc (size_t n, size_t p);
 
 void pspp_linreg_cache_free (pspp_linreg_cache * c);
 
 /*
   Fit the linear model via least squares. All pointers passed to pspp_linreg
   are assumed to be allocated to the correct size and initialized to the
-  values as indicated by opts. 
+  values as indicated by opts.
  */
-int pspp_linreg (const gsl_vector * Y, const gsl_matrix * X,
-                const pspp_linreg_opts * opts, 
-                pspp_linreg_cache * cache);
+int
+pspp_linreg (const gsl_vector * Y, const gsl_matrix * X,
+            const pspp_linreg_opts * opts, pspp_linreg_cache * cache);
 
 double
-pspp_linreg_predict (const struct variable *, const union value *, 
+pspp_linreg_predict (const struct variable **, const union value **,
                     const pspp_linreg_cache *, int);
 double
-pspp_linreg_residual (const struct variable *, const union value *,
+pspp_linreg_residual (const struct variable *, const union value **,
                      const union value *, const pspp_linreg_cache *, int);
 #endif




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