Yet Another Blog in Statistical Computing

I can calculate the motion of heavenly bodies but not the madness of people. -Isaac Newton

Another Comment about “PYPER vs RPY2”

An insightful comment below about “pyper vs rpy2” was made by Dr Xiao-Qin Xia, the developer of pyper.

1) While Rpy2 package and objects has many methods to learn, R interpreter is wrapped as a Python object in PypeR without special methods, that means the user can learn to use PypeR in minutes.

2) While Rpy holds a R instance throughout the whole life of a program, PypeR can dynamically launch many different R interpreters, or delete them to release memory.

3) In addition, developers can simply include the file “pyper.py” in their project for portability, instead of letting the user to install the PypeR package.

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Written by statcompute

December 12, 2012 at 10:07 pm

Posted in PYTHON

Tagged with ,

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