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rpymat  

Easy to Configure an Isolated 'Python' Environment
View on CRAN: Click here


Download and install rpymat package within the R console
Install from CRAN:
install.packages("rpymat")

Install from Github:
library("remotes")
install_github("cran/rpymat")

Install by package version:
library("remotes")
install_version("rpymat", "0.1.8")



Attach the package and use:
library("rpymat")
Maintained by
Zhengjia Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-15
Latest Update: 2025-07-22
Description:
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
How to cite:
Zhengjia Wang (2021). rpymat: Easy to Configure an Isolated 'Python' Environment. R package version 0.1.8, https://cran.r-project.org/web/packages/rpymat. Accessed 14 Jun. 2026.
Previous versions and publish date:
0.1.1 (2021-11-15 10:20), 0.1.2 (2022-02-19 18:20), 0.1.3 (2022-08-06 19:00), 0.1.4 (2023-01-21 13:10), 0.1.5 (2023-04-04 17:00), 0.1.6 (2023-07-03 21:30), 0.1.7 (2023-08-22 05:20), 0.1.8 (2025-07-22 23:41)
Other packages that cited rpymat R package
View rpymat citation profile
Other R packages that rpymat depends, imports, suggests or enhances
Complete documentation for rpymat
Functions, R codes and Examples using the rpymat R package
Some associated functions: choose-file . conda-env . jupyter . py_builtin . py_list . py_slice . read_xlsx . reexports . repl_python . reticulate-reexports . rpymat-python-main . run_command . run_pyscript . 
Some associated R codes: aaa.R . background.R . cmd.R . download.R . exec_py.R . file_choose.R . install.R . jupyter.R . ported.R . reexports.R . utils-readxlsx.R . utils.R . zzz.R .  Full rpymat package functions and examples
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