通过subprocess.Popen在python中执行R脚本

retcode = subprocess.call(\"/Pathto/Rscript --vanilla /Pathto/test.R\", shell=True)

process = subprocess.Popen([\"R --vanilla --args \"+output_filename+\"_DM_Instances_R.csv < /home/kevin/AV-labels/Results/R/hierarchical_clustering.R > \"+output_filename+\"_out.txt\"], shell=True)
process.wait()

process = subprocess.Popen([\'R\', \'--vanilla\', \'--args\', \'\\\\%s_DM_Instances_R.csv\\\\\' % output_filename, \'<\', \'/home/kevin/AV-labels/Results/R/hierarchical_clustering.R\'], stdout=subprocess.PIPE, stdin=subprocess.PIPE, shell=True) 
process.communicate()#[0] is stdout

Rscript

subprocess.Popen

import subprocess

output_name = \'something\'
script_filename = \'hierarchical_clustering.R\'
param_filename = \'%s_DM_Instances_R.csv\' % output_name
result_filename = \'%s_out.txt\' % output_name
with open(result_filename, \'wb\') as result:
    process = subprocess.Popen([\'Rscript\', script_filename, param_filename],
                               stdout=result);
    process.wait()

import subprocess

process = subprocess.Popen([\"R --vanilla --args %s %d %.2f < /path/to/your/rscript/transformMatrixToSparseMatrix.R\" % (\"sparse\", 11, 0.98) ], shell=True)
process.wait()

#! /usr/bin/Rscript --vanilla --default-packages=utils