/* PSPP - a program for statistical analysis.
- Copyright (C) 2008 Free Software Foundation, Inc.
+ Copyright (C) 2008, 2009 Free Software Foundation, Inc.
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
struct covariance_matrix
{
struct design_matrix *cov;
+ struct design_matrix *ssize;
+ struct design_matrix *sums;
struct hsh_table *ca;
struct moments1 **m1;
struct moments **m;
return result;
}
-
+static size_t
+get_n_rows (size_t n_variables, size_t *v_variables[])
+{
+ size_t i;
+ size_t result = 0;
+ for (i = 0; i < n_variables; i++)
+ {
+ if (var_is_numeric (v_variables[i]))
+ {
+ result++;
+ }
+ else if (var_is_alpha (v_variables[i]))
+ {
+ size_t n_categories = cat_get_n_categories (v_variables[i]);
+ result += n_categories - 1;
+ }
+ }
+ return result;
+}
/*
The covariances are stored in a DESIGN_MATRIX structure.
*/
covariance_matrix_create (size_t n_variables,
const struct variable *v_variables[])
{
- return design_matrix_create (n_variables, v_variables,
- (size_t) n_variables);
+ size_t n_rows = get_n_rows (n_variables, v_variables);
+ return design_matrix_create (n_variables, v_variables, n_rows);
}
static void
assert (cov != NULL);
design_matrix_destroy (cov->cov);
+ design_matrix_destroy (cov->ssize);
+ design_matrix_destroy (cov->sums);
hsh_destroy (cov->ca);
if (cov->n_pass == ONE_PASS)
{
col = design_matrix_var_to_column (cov, v2);
assert (val2 != NULL);
- tmp = gsl_matrix_get (cov->m, row, col);
- gsl_matrix_set (cov->m, row, col, (val2->f - mean) * x + tmp);
- gsl_matrix_set (cov->m, col, row, (val2->f - mean) * x + tmp);
+ tmp = design_matrix_get_element (cov, row, col);
+ design_matrix_set_element (cov, row, col, (val2->f - mean) * x + tmp);
+ design_matrix_set_element (cov, col, row, (val2->f - mean) * x + tmp);
}
static void
column_iterate (struct design_matrix *cov, const struct variable *v,
{
y += -1.0;
}
- tmp = gsl_matrix_get (cov->m, row, col);
- gsl_matrix_set (cov->m, row, col, x * y + tmp);
- gsl_matrix_set (cov->m, col, row, x * y + tmp);
+ tmp = design_matrix_get_element (cov, row, col);
+ design_matrix_set_element (cov, row, col, x * y + tmp);
+ design_matrix_set_element (cov, col, row, x * y + tmp);
}
}
row = design_matrix_var_to_column (cov, v1);
col = design_matrix_var_to_column (cov, v2);
x = (val1->f - mean1) * (val2->f - mean2);
- x += gsl_matrix_get (cov->m, col, row);
- gsl_matrix_set (cov->m, row, col, x);
- gsl_matrix_set (cov->m, col, row, x);
+ x += design_matrix_get_element (cov, col, row);
+ design_matrix_set_element (cov, row, col, x);
+ design_matrix_set_element (cov, col, row, x);
}
}
}
if (var_is_alpha (v_max) && var_is_alpha (v_min))
{
- unsigned tmp = hsh_hash_bytes (val_max, var_get_width (v_max));
- tmp ^= hsh_hash_bytes (val_min, var_get_width (v_min));
- tmp += *n_vars * (*n_vars + 1 + idx_max) + idx_min;
- return (size_t) tmp;
+ unsigned hash = hash_bytes (val_max, var_get_width (v_max), 0);
+ hash = hash_bytes (val_min, var_get_width (v_min), hash);
+ return hash_int (*n_vars * (*n_vars + 1 + idx_max) + idx_min, hash);
}
return -1u;
}
if (var_is_numeric (v1) && var_is_alpha (v2))
{
result = n_vars * ((n_vars + 1) + var_get_dict_index (v1))
- + var_get_dict_index (v2) + hsh_hash_string (val->s);
+ + var_get_dict_index (v2) + hash_string (val->s, 0);
}
else if (var_is_alpha (v1) && var_is_numeric (v2))
{
{
size_t row;
size_t col;
- size_t i;
- const union value *tmp_val;
assert (cov != NULL);
col = get_exact_subscript (cov, v2, val2);
if (row != -1u && col != -1u)
{
- gsl_matrix_set (cov->m, row, col, product);
+ design_matrix_set_element (cov, row, col, product);
}
}
}
return false;
}
-
-static struct design_matrix *
+static double
+get_sum (const struct covariance_matrix *cov, size_t i)
+{
+ size_t k;
+ const struct variable *var;
+ const union value *val = NULL;
+ struct covariance_accumulator ca;
+ struct covariance_accumulator *c;
+
+ assert ( cov != NULL);
+ var = design_matrix_col_to_var (cov->cov, i);
+ if (var != NULL)
+ {
+ if (var_is_alpha (var))
+ {
+ k = design_matrix_var_to_column (cov->cov, var);
+ i -= k;
+ val = cat_subscript_to_value (i, var);
+ }
+ ca.v1 = var;
+ ca.v2 = var;
+ ca.val1 = val;
+ ca.val2 = val;
+ c = (struct covariance_accumulator *) hsh_find (cov->ca, &ca);
+ if (c != NULL)
+ {
+ return c->sum1;
+ }
+ }
+ return 0.0;
+}
+static void
+update_ssize (struct design_matrix *dm, size_t i, size_t j, struct covariance_accumulator *ca)
+{
+ struct variable *var;
+ double tmp;
+ var = design_matrix_col_to_var (dm, i);
+ if (var_get_dict_index (ca->v1) == var_get_dict_index (var))
+ {
+ var = design_matrix_col_to_var (dm, j);
+ if (var_get_dict_index (ca->v2) == var_get_dict_index (var))
+ {
+ tmp = design_matrix_get_element (dm, i, j);
+ tmp += ca->ssize;
+ design_matrix_set_element (dm, i, j, tmp);
+ }
+ }
+}
+static void
covariance_accumulator_to_matrix (struct covariance_matrix *cov)
{
size_t i;
size_t j;
- double tmp;
+ double sum_i = 0.0;
+ double sum_j = 0.0;
+ double tmp = 0.0;
struct covariance_accumulator *entry;
- struct design_matrix *result = NULL;
struct hsh_iterator iter;
- result = covariance_matrix_create (cov->n_variables, cov->v_variables);
-
- for (i = 0; i < design_matrix_get_n_cols (result); i++)
+ cov->cov = covariance_matrix_create (cov->n_variables, cov->v_variables);
+ cov->ssize = covariance_matrix_create (cov->n_variables, cov->v_variables);
+ cov->sums = covariance_matrix_create (cov->n_variables, cov->v_variables);
+ for (i = 0; i < design_matrix_get_n_cols (cov->cov); i++)
{
- for (j = i; j < design_matrix_get_n_cols (result); j++)
+ sum_i = get_sum (cov, i);
+ for (j = i; j < design_matrix_get_n_cols (cov->cov); j++)
{
+ sum_j = get_sum (cov, j);
entry = hsh_first (cov->ca, &iter);
-
+ design_matrix_set_element (cov->sums, i, j, sum_i);
while (entry != NULL)
{
+ update_ssize (cov->ssize, i, j, entry);
/*
We compute the centered, un-normalized covariance matrix.
*/
- if (is_covariance_contributor (entry, result, i, j))
+ if (is_covariance_contributor (entry, cov->cov, i, j))
{
- tmp = entry->dot_product - entry->sum1 * entry->sum2 / entry->ssize;
- covariance_matrix_insert (result, entry->v1, entry->v2, entry->val1,
- entry->val2, tmp);
+ covariance_matrix_insert (cov->cov, entry->v1, entry->v2, entry->val1,
+ entry->val2, entry->dot_product);
}
entry = hsh_next (cov->ca, &iter);
}
+ tmp = design_matrix_get_element (cov->cov, i, j);
+ tmp -= sum_i * sum_j / design_matrix_get_element (cov->ssize, i, j);
+ design_matrix_set_element (cov->cov, i, j, tmp);
}
}
- return result;
}
{
if (cov->n_pass == ONE_PASS)
{
- cov->cov = covariance_accumulator_to_matrix (cov);
+ covariance_accumulator_to_matrix (cov);
}
}
}
return NULL;
}
+
+double
+covariance_matrix_get_element (const struct covariance_matrix *c, size_t row, size_t col)
+{
+ return (design_matrix_get_element (c->cov, row, col));
+}
+
projects / pspp-builds.git / blobdiff