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PypeR, A Python Package for Using R in Python

Xiao-Qin Xia, Michael McClelland and Yipeng Wang

Journal of Statistical Software, 2010, vol. 035, issue c02

Abstract: 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/.

Date: 2010-07-30
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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https://www.jstatsoft.org/index.php/jss/article/view/v035c02/v35c02.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... c02/PypeR-1.0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... 5c02-examples.py.zip
https://www.jstatsoft.org/index.php/jss/article/do ... /v35c02-pyper.py.zip
https://www.jstatsoft.org/index.php/jss/article/do ... 02/v35c02-rpy.py.zip
https://www.jstatsoft.org/index.php/jss/article/do ... 2/v35c02-rpy2.py.zip

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:035:c02

DOI: 10.18637/jss.v035.c02

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