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  • 标题:PypeR, A Python Package for Using R in Python
  • 本地全文:下载
  • 作者:Xiao-Qin Xia ; Michael McClelland ; Yipeng Wang
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2010
  • 卷号:35
  • 期号:1
  • 页码:1-8
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:This article describes PypeR, a Python package which allows the R language to be called in Python using the pipe communication method. By running R through pipe, the Python program gains flexibility in sub-process controls, memory control, and portability across popular operating system platforms, including Windows, GNU Linux and Mac OS X. PypeR can be downloaded at http://rinpy.sourceforge.net/.
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