Branch:
user/anddt/network/znc
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
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rworkman
urchlay
user/aclemons/updates
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user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
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user/chris.willing/updates
user/dslackw/updates
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willysr
wxWidgets-wip
GPG-KEY
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ddb2fb87c9
academic/rpy2: Updated to version 3.5.1.
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2 years ago | |
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| .. | ||
| README | 0383a0589d academic/rpy2: Updated for version 3.3.4. | 3 years ago |
| Rlibs.conf | 24b6aa7d76 academic/rpy2: Added (R in Python). | 4 years ago |
| doinst.sh | 24b6aa7d76 academic/rpy2: Added (R in Python). | 4 years ago |
| rpy2.SlackBuild | ddb2fb87c9 academic/rpy2: Updated to version 3.5.1. | 2 years ago |
| rpy2.info | ddb2fb87c9 academic/rpy2: Updated to version 3.5.1. | 2 years ago |
| slack-desc | ce75e7d2cc academic/rpy2: Updated for version 3.3.3. | 4 years ago |
README
Python interface to the R language.
rpy2 is running an embedded R, providing access to it
from Python using R's own C-API through either:
1) a high-level interface making R functions and objects
just like Python functions and providing a seamless
conversion to numpy and pandas data structures
2) a low-level interface closer to the C-API
It is also providing features for when working with
jupyter notebooks or ipython.
NOTE:
R needs to be compiled with the shared library flag,
thus: build R on SBo with R_SHLIB=yes and BLAS_SHLIB=yes
(See also the notes in the rpy2.Slackbuild)
home:https://rpy2.github.io/
documentation:https://rpy2.github.io/doc/latest/html/index.html
rpy2 is running an embedded R, providing access to it
from Python using R's own C-API through either:
1) a high-level interface making R functions and objects
just like Python functions and providing a seamless
conversion to numpy and pandas data structures
2) a low-level interface closer to the C-API
It is also providing features for when working with
jupyter notebooks or ipython.
NOTE:
R needs to be compiled with the shared library flag,
thus: build R on SBo with R_SHLIB=yes and BLAS_SHLIB=yes
(See also the notes in the rpy2.Slackbuild)
home:https://rpy2.github.io/
documentation:https://rpy2.github.io/doc/latest/html/index.html