# # lm() via GNU GSL -- building on something from the Intro to HPC tutorials # # Copyright (C) 2010 Dirk Eddelbuettel and Romain Francois # # This file is part of Rcpp. # # Rcpp 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. # # Rcpp 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 Rcpp. If not, see . suppressMessages(require(Rcpp)) suppressMessages(require(inline)) lmGSL <- function() { src <- ' Rcpp::NumericVector Yr(Ysexp); Rcpp::NumericMatrix Xr(Xsexp); int i,j,n = Xr.nrow(), k = Xr.ncol(); double chisq; gsl_matrix *X = gsl_matrix_alloc (n, k); gsl_vector *y = gsl_vector_alloc (n); gsl_vector *c = gsl_vector_alloc (k); gsl_matrix *cov = gsl_matrix_alloc (k, k); for (i = 0; i < n; i++) { for (j = 0; j < k; j++) gsl_matrix_set (X, i, j, Xr(i,j)); gsl_vector_set (y, i, Yr(i)); } gsl_multifit_linear_workspace *work = gsl_multifit_linear_alloc (n, k); gsl_multifit_linear (X, y, c, cov, &chisq, work); gsl_multifit_linear_free (work); Rcpp::NumericVector coefr(k), stderrestr(k); for (i = 0; i < k; i++) { coefr(i) = gsl_vector_get(c,i); stderrestr(i) = sqrt(gsl_matrix_get(cov,i,i)); } gsl_matrix_free (X); gsl_vector_free (y); gsl_vector_free (c); gsl_matrix_free (cov); return Rcpp::List::create( Rcpp::Named( "coef", coefr), Rcpp::Named( "stderr", stderrestr)); ' ## turn into a function that R can call ## compileargs redundant on Debian/Ubuntu as gsl headers are found anyway fun <- cfunction(signature(Ysexp="numeric", Xsexp="numeric"), src, includes="#include ", Rcpp=TRUE, cppargs="-I/usr/include", libargs="-lgsl -lgslcblas") }