## Not run:
# #############################################################################
# # EXAMPLE 1: Rcpp code logistic distribution
# #############################################################################
#
# library(Rcpp)
# library(inline)
#
# # define Rcpp file
# code1 <- "
# // input array A
# Rcpp::NumericMatrix AA(A);
# // Rcpp::IntegerVector dimAA(dimA);
# int nrows = AA.nrow();
# int ncolumns = AA.ncol();
# Rcpp::NumericMatrix Alogis(nrows,ncolumns) ;
# // compute logistic distribution
# for (int ii=0; ii<nrows; ii++){
# Rcpp::NumericVector h1=AA.row(ii) ;
# Rcpp::NumericVector res = plogis( h1 ) ;
# for (int jj=0;jj<ncolumns;jj++){
# Alogis(ii,jj) = res[jj] ;
# }
# }
# return( wrap(Alogis) );
# "
# # compile Rcpp code
# fct_rcpp <- inline::cxxfunction( signature( A= "matrix"), code1,
# plugin = "Rcpp", verbose=TRUE )
# # copy function and save it as object 'calclogis'
# name <- "calclogis" # name of the function
# cxxfunction.copy( cppfct= fct_rcpp, name=name )
# # function is available as object named as name
# Reval( paste0( name , " <- fct_rcpp " ) )
# # test function
# m1 <- outer( seq( -2 , 2 , len=10 ) , seq(-1.5,1.5 ,len=4) )
# calclogis(m1)
# ## End(Not run)
Run the code above in your browser using DataLab