# This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Library General Public # License as published by the Free Software Foundation; either # version 2 of the License, or (at your option) any later version. # # This library 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 Library General Public License for more details. # # You should have received a copy of the GNU Library General # Public License along with this library; if not, write to the # Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, # MA 02111-1307 USA # Copyrights (C) # for this R-port: # 1999 - 2008, Diethelm Wuertz, Rmetrics Foundation, GPL # Diethelm Wuertz # www.rmetrics.org # for the code accessed (or partly included) from other R-ports: # see R's copyright and license files # for the code accessed (or partly included) from contributed R-ports # and other sources # see Rmetrics's copyright file ################################################################################ # GENERATION: DESCRIPTION: # pascal Creates a Pascal matrix ################################################################################ pascal <- function(n) { # A function implemented by Diethelm Wuertz # Description: # Creates a Pascal matrix # Arguments: # n - the dimension of the square matrix # Details: # http://mathworld.wolfram.com/PascalMatrix.html # Pascal matrices are symmetric and positive definite. # The determinant of a Pascal matrix is 1. # The inverse of a Pascal matrix has integer entries. # If lambda is an eigenvalue of a Pascal matrix, # then 1/lambda is also an eigenvalue of the matrix. # The Cholesky factor of a Pascal matrix consists of # the elements of Pascal's triangle # FUNCTION: # Pascal: N = n-1 n.over.r = function(n, r) { prod(1:n) / (prod(1:(n-r)) * prod(1:r) ) } X = rep(1, N) for ( i in 1:N ) for ( j in 1:N ) X = c(X, n.over.r(i+j, j)) X = cbind(rep(1, N+1), matrix(X, byrow = TRUE, ncol = N)) # Return Value: X } ################################################################################