예제 #1
0
파일: dplyr.cpp 프로젝트: jimhester/dplyr
HybridHandlerMap& get_handlers(){
    static HybridHandlerMap handlers ;
    if( !handlers.size() ){
        handlers[ Rf_install("n")                ] = count_prototype ;
        handlers[ Rf_install( "mean" )           ] = mean_prototype ;
        handlers[ Rf_install( "min" )            ] = min_prototype ;
        handlers[ Rf_install( "max" )            ] = max_prototype ;
        handlers[ Rf_install( "var" )            ] = var_prototype ;
        handlers[ Rf_install( "sd")              ] = sd_prototype ;
        handlers[ Rf_install( "sum" )            ] = sum_prototype;
        handlers[ Rf_install( "count_distinct" ) ] = count_distinct_prototype ;
    }
    return handlers ;    
}
예제 #2
0
파일: dplyr.cpp 프로젝트: kevinushey/dplyr
HybridHandlerMap& get_handlers(){
    static HybridHandlerMap handlers ;
    if( !handlers.size() ){
        handlers[ Rf_install("n")                ] = count_prototype ;
        handlers[ Rf_install( "mean" )           ] = mean_prototype ;
        handlers[ Rf_install( "min" )            ] = minmax_prototype<dplyr::Min> ;
        handlers[ Rf_install( "max" )            ] = minmax_prototype<dplyr::Max> ;
        handlers[ Rf_install( "var" )            ] = var_prototype ;
        handlers[ Rf_install( "sd")              ] = sd_prototype ;
        handlers[ Rf_install( "sum" )            ] = sum_prototype;
        handlers[ Rf_install( "n_distinct" ) ] = count_distinct_prototype ;
        handlers[ Rf_install( "row_number" )     ] = row_number_prototype ;
        handlers[ Rf_install( "min_rank" )       ] = rank_impl_prototype<dplyr::internal::min_rank_increment> ;
        handlers[ Rf_install( "dense_rank" )     ] = rank_impl_prototype<dplyr::internal::dense_rank_increment> ;

        // handlers[ Rf_install( "lead" )           ] = lead_prototype ;
        // handlers[ Rf_install( "lag" )            ] = lag_prototype ;
    }
    return handlers ;
}
예제 #3
0
HybridHandlerMap& get_handlers() {
  static HybridHandlerMap handlers;
  if (!handlers.size()) {
    /*
    handlers[ Rf_install( "cumsum")      ] = cumfun_prototype<CumSum>;
    handlers[ Rf_install( "cummin")      ] = cumfun_prototype<CumMin>;
    handlers[ Rf_install( "cummax")      ] = cumfun_prototype<CumMax>;
    */

    install_simple_handlers(handlers);
    install_minmax_handlers(handlers);
    install_count_handlers(handlers);
    install_nth_handlers(handlers);
    install_window_handlers(handlers);
    install_offset_handlers(handlers);
    install_in_handlers(handlers);
    install_debug_handlers(handlers);
  }
  return handlers;
}