C++与R交互方法是什么

本篇内容主要讲解"C++与R交互方法是什么"，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习"C++与R交互方法是什么"吧!

一、C++代码1.cpp

#include #include #include using namespace std;int main(int argc,char* argv[]){    RInside R(argc,argv);//创建一个R环境    string cmdStr;//R命令行变量    cout << "******* test R basic data type *******" << endl;    cmdStr = "m <- 1.23";    double d1 = Rcpp::as(R.parseEval(cmdStr));//将R命令结果解析赋值给d1    cout << "d1 = " << d1 << endl;    cmdStr = "str <- \"Hello World!\"";    string str = Rcpp::as(R.parseEval(cmdStr));//将R命令结果解析赋值给str    cout << "str = " << str << endl;    cmdStr = "b <- FALSE";    bool b = Rcpp::as(R.parseEval(cmdStr));    cout << boolalpha << "b = " << b << endl;    cout << "******* test R vector *******" << endl;    cmdStr = "M <- c(1.0*1:6)";    vector d2Vec = Rcpp::as< vector >(R.parseEval(cmdStr));//将R命令向量赋值转换到C++的vector中    cout << "d2Vec[0] = " << d2Vec[0] << endl;    cout << "d2Vec[1] = " << d2Vec[1] << endl;    cout << "d2Vec[2] = " << d2Vec[2] << endl;    cout << "d2Vec[3] = " << d2Vec[3] << endl;    cout << "d2Vec[4] = " << d2Vec[4] << endl;    cout << "d2Vec[5] = " << d2Vec[5] << endl;    cout << "******* test R matrix *******" << endl;    cmdStr = "M <- matrix(1:6,2,3)";//创建矩阵    vector d3Vev = Rcpp::as< vector >(R.parseEval(cmdStr));    cout << "d3Vev[0] = " << d3Vev[0] << endl;    cout << "d3Vev[3] = " << d3Vev[3] << endl;    cout << "d3Vev[5] = " << d3Vev[5] << endl;    cout << "******* test R list *******" << endl;    cmdStr = "lst <- list(name = \"Fred\",wife = \"Mary\",no.child = 3,child.ages = c(12,15,17))";//创建列表数据    Rcpp::List myList= R.parseEval(cmdStr);    cout << "myList[\"name\"] = " << Rcpp::as(myList["name"]) << endl;    cout << "myList[\"wife\"] = " << Rcpp::as(myList["wife"]) << endl;    cout << "myList[\"no.child\"] = " << Rcpp::as(myList["no.child"]) << endl;    Rcpp::IntegerVector ageIntVec = Rcpp::as(myList["child.ages"]);    cout << "ageIntVec[0] = " << ageIntVec[0] << endl;    cout << "ageIntVec[1] = " << ageIntVec[1] << endl;    cout << "ageIntVec[2] = " << ageIntVec[2] << endl;    return 0;}

二、安装R包

$ R

> install.packages("Rcpp")

> install.packages("Rcpp11")

> install.packages("RInside")

这里R的扩展包都安装在/usr/local/lib/R/site-library/。如普通用户没有对该目录写的权限，

执行chmod a+rw /usr/local/lib/R/site-library

为了方便g++找到对应的库建立软链接：

sudo ln -s /usr/local/lib/R/site-library/RInside/lib/libRInside.so /usr/lib/libRInside.so

sudo ldconfig -v

三、编译:

 g++ -I /usr/local/lib/R/site-library/RInside/include -I /usr/local/lib/R/site-library/Rcpp/include -I /usr/share/R/include 1.cpp -lR -lRInside

或者二部分后面动态库位置不动，用下面命令编译（编译时指定动态库位置）：

g++ -I /usr/local/lib/R/site-library/RInside/include -I /usr/local/lib/R/site-library/Rcpp/include -I /usr/share/R/include -o testR testR.cpp -L /usr/local/lib/R/site-library/RInside/lib -lR -lRInside  -Wl,-rpath=/usr/local/lib/R/site-library/RInside/lib

四、运行:

$ ./a.out ******* test R basic data type *******d1 = 1.23str = Hello World!b = false******* test R vector *******d2Vec[0] = 1d2Vec[1] = 2d2Vec[2] = 3d2Vec[3] = 4d2Vec[4] = 5d2Vec[5] = 6******* test R matrix *******d3Vev[0] = 1d3Vev[3] = 4d3Vev[5] = 6******* test R list *******myList["name"] = FredmyList["wife"] = MarymyList["no.child"] = 3ageIntVec[0] = 12ageIntVec[1] = 15ageIntVec[2] = 17

到此，相信大家对"C++与R交互方法是什么"有了更深的了解，不妨来实际操作一番吧！这里是网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！