rpy2 usage
The high-level interface in rpy2 is designed to facilitate the use of R by Python programmers. R objects are exposed as instances of Python-implemented classes ... ,2019年9月6日 — We choose to use an external dataset to demonstrate how R's own data import features can be used. from rpy2.robjects.packages import ...
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 rpy2 usage 相關參考資料
Introduction to rpy2 — rpy2 2.9.4 documentation
Installing packages Downloading and installing R packages is usually performed by fetching R packages from a package repository and installing them locally. Capabilities to do this are provided by R l... https://rpy2.github.io Documentation for rpy2 — rpy2 3.3.1 documentation
The high-level interface in rpy2 is designed to facilitate the use of R by Python programmers. R objects are exposed as instances of Python-implemented classes ... https://rpy2.github.io Using rpy2 in notebooks — rpy2 3.3.1 documentation
2019年9月6日 — We choose to use an external dataset to demonstrate how R's own data import features can be used. from rpy2.robjects.packages import ... https://rpy2.github.io Interactive work — rpy2 3.3.1 documentation
Usage¶. To enable the magics below, execute %load_ext rpy2.ipython . %R. https://rpy2.github.io Introduction to rpy2 — rpy2 3.3.1 documentation
The high-level interface is trying to make the use of R as natural as possible for a Python user (something sometimes referred to as “pythonic”), and this ... https://rpy2.github.io Introduction to rpy2 — rpy2 3.0.5 documentation
rpy2 is like any other python package binding to a C library. ... The high-level interface is trying to make the use of R as natural as possible for a Python user ... https://rpy2.github.io Quick Tutorial on RPy Package for RPython Interface
RPy is a simple, easy-to-use interface to R from Python. It enables one to enjoy the elegance of Python programming while having access to the rich graphical ... http://heather.cs.ucdavis.edu Introduction to rpy2 — rpy2 2.5.0-dev documentation
The __getitem__() method of rpy2.robjects.r, evaluates a variable from the R console. Example in R: > pi [1] ... https://rpy.sourceforge.io Interactive work — rpy2 2.5.0-dev documentation
It is trading flexibility or performances for ease-of-use. >>> import rpy2.interactive as r >>> import ... https://rpy.sourceforge.io |