X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=src%2Fmath%2Flinreg%2Flinreg.c;h=51f77b882e0b35546a0b80bc9479bababdbdd1f5;hb=538e1f5d35f8a48d43401b2c7abf7663219b638f;hp=ab85e795c93f0c7bb1f9fbc00a11c38c612b9f35;hpb=b1352e0bd746fd3ca70dafb1c1715deb70234a41;p=pspp-builds.git diff --git a/src/math/linreg/linreg.c b/src/math/linreg/linreg.c index ab85e795..51f77b88 100644 --- a/src/math/linreg/linreg.c +++ b/src/math/linreg/linreg.c @@ -87,6 +87,7 @@ linreg_mean_std (gsl_vector_const_view v, double *mp, double *sp, double *ssp) return GSL_SUCCESS; } + /* Set V to contain an array of pointers to the variables used in the model. V must be at least C->N_COEFFS in length. @@ -102,25 +103,25 @@ pspp_linreg_get_vars (const void *c_, struct variable **v) int result = 0; /* - Make sure the caller doesn't try to sneak a variable - into V that is not in the model. + Make sure the caller doesn't try to sneak a variable + into V that is not in the model. */ for (i = 0; i < c->n_coeffs; i++) { v[i] = NULL; } /* - Start at c->coeff + 1 to avoid the intercept. + Start at c->coeff[1] to avoid the intercept. */ - v[result] = (struct variable *) pspp_linreg_coeff_get_var (c->coeff + 1, 0); + v[result] = (struct variable *) pspp_linreg_coeff_get_var (c->coeff[1], 0); result = (v[result] == NULL) ? 0 : 1; - for (coef = c->coeff + 2; coef < c->coeff + c->n_coeffs; coef++) + for (coef = c->coeff[2]; coef < c->coeff[c->n_coeffs]; coef++) { tmp = pspp_linreg_coeff_get_var (coef, 0); assert (tmp != NULL); /* Repeated variables are likely to bunch together, at the end - of the array. */ + of the array. */ i = result - 1; while (i >= 0 && (v[i]->index != tmp->index)) { @@ -151,10 +152,10 @@ pspp_linreg_cache_alloc (size_t n, size_t p) c->indep_std = gsl_vector_alloc (p); c->ssx = gsl_vector_alloc (p); /* Sums of squares for the independent variables. - */ + */ c->ss_indeps = gsl_vector_alloc (p); /* Sums of squares for the model parameters. - */ + */ c->cov = gsl_matrix_alloc (p + 1, p + 1); /* Covariance matrix. */ c->n_obs = n; c->n_indeps = p; @@ -163,26 +164,31 @@ pspp_linreg_cache_alloc (size_t n, size_t p) */ c->method = PSPP_LINREG_SWEEP; c->predict = pspp_linreg_predict; - c->residual = pspp_linreg_residual; /* The procedure to compute my - residuals. */ - c->get_vars = pspp_linreg_get_vars; /* The procedure that returns - pointers to model - variables. */ - c->resid = NULL; /* The variable storing my residuals. */ - c->pred = NULL; /* The variable storing my predicted values. */ + c->residual = pspp_linreg_residual; /* The procedure to compute my + residuals. */ + c->get_vars = pspp_linreg_get_vars; /* The procedure that returns + pointers to model + variables. */ + c->resid = NULL; /* The variable storing my residuals. */ + c->pred = NULL; /* The variable storing my predicted values. */ return c; } bool -pspp_linreg_cache_free (void * m) +pspp_linreg_cache_free (void *m) { + int i; + pspp_linreg_cache *c = m; gsl_vector_free (c->indep_means); gsl_vector_free (c->indep_std); gsl_vector_free (c->ss_indeps); gsl_matrix_free (c->cov); - pspp_linreg_coeff_free (c->coeff); + for (i = 0; i < c->n_coeffs; i++) + { + pspp_linreg_coeff_free (c->coeff[i]); + } free (c); return true; } @@ -240,7 +246,7 @@ pspp_linreg (const gsl_vector * Y, const gsl_matrix * X, cache->dfe = cache->dft - cache->dfm; cache->n_coeffs = X->size2 + 1; /* Adjust this later to allow for regression through the origin. - */ + */ if (cache->method == PSPP_LINREG_SWEEP) { gsl_matrix *sw; @@ -314,7 +320,7 @@ pspp_linreg (const gsl_vector * Y, const gsl_matrix * X, for (i = 0; i < cache->n_indeps; i++) { tmp = gsl_matrix_get (sw, i, cache->n_indeps); - cache->coeff[i + 1].estimate = tmp; + cache->coeff[i + 1]->estimate = tmp; m -= tmp * gsl_vector_get (cache->indep_means, i); } /* @@ -350,7 +356,7 @@ pspp_linreg (const gsl_vector * Y, const gsl_matrix * X, } gsl_matrix_set (cache->cov, 0, 0, tmp); - cache->coeff[0].estimate = m; + cache->coeff[0]->estimate = m; } else { @@ -385,7 +391,7 @@ pspp_linreg (const gsl_vector * Y, const gsl_matrix * X, cache->cov, &(cache->sse), wk); for (i = 0; i < cache->n_coeffs; i++) { - cache->coeff[i].estimate = gsl_vector_get (param_estimates, i); + cache->coeff[i]->estimate = gsl_vector_get (param_estimates, i); } if (rc == GSL_SUCCESS) {