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!
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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 = 1.23
str = Hello World!
b = false
******* test R vector *******
d2Vec[0] = 1
d2Vec[1] = 2
d2Vec[2] = 3
d2Vec[3] = 4
d2Vec[4] = 5
d2Vec[5] = 6
******* test R matrix *******
d3Vev[0] = 1
d3Vev[3] = 4
d3Vev[5] = 6
******* test R list *******
myList["name"] = Fred
myList["wife"] = Mary
myList["no.child"] = 3
ageIntVec[0] = 12
ageIntVec[1] = 15
ageIntVec[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！这里是创新互联网站，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！
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