如何安装“R-essentials"中不可用的 R 包?
问题描述
我使用开箱即用的 Anaconda 安装来使用 Python.现在我已经读到，也可以在此安装中包含"R 世界，并在 Jupyter/Ipython 笔记本中使用 IR 内核.
I use an out-of-the-box Anaconda installation to work with Python. Now I have read that it is possible to also "include" the R world within this installation and to use the IR kernel within the Jupyter/Ipython notebook.
我找到了安装许多著名 R 包的命令:conda install -c r r-essentials
I found the command to install a number of famous R packages: conda install -c r r-essentials
我的初学者问题:
如何安装 R-essential 包中未包含的 R 包?例如 CRAN 上可用的 R 包.pip"仅适用于 PyPI Python 包，不是吗?
How do I install R packages that are not included in the R-essential package? For example R packages that are available on CRAN. "pip" works only for PyPI Python packages, doesn't it?
解决方案
现在我找到了文档:
这是解释如何生成仅在 CRAN 存储库中可用的 R 包的文档:https://www.continuum.io/content/conda-data-science
This is the documentation that explains how to generate R packages that are only available in the CRAN repository: https://www.continuum.io/content/conda-data-science
转到构建 conda R 包"部分.
Go to the section "Building a conda R package".
(提示:只要 R 包在 anaconda.org 下可用，请使用此资源.请参阅此处:https://www.continuum.io/blog/developer/jupyter-and-conda-r)
(Hint: As long as the R package is available under anaconda.org use this resource. See here: https://www.continuum.io/blog/developer/jupyter-and-conda-r)
alistaire 的回答是添加 R 包的另一种可能性:
alistaire's answer is another possibility to add R packages:
如果您通过常规 install.packages(来自 CRAN 镜像)或 devtools::install_github(来自 GitHub)从 R 内部安装包，它们可以正常工作.@alistaire
If you install packages from inside of R via the regular install.packages (from CRAN mirrors), or devtools::install_github (from GitHub), they work fine. @alistaire
如何做到这一点:打开你的(独立的)R 安装，然后运行以下命令:
How to do this: Open your (independent) R installation, then run the following command:
install.packages("png", "/home/user/anaconda3/lib/R/library")
将新包添加到 Jupyter 使用的正确 R 库中，否则该包将安装在 中提到的/home/user/R/i686-pc-linux-gnu-library/3.2/png/libs 中.libPaths() .
to add new package to the correct R library used by Jupyter, otherwise the package will be installed in /home/user/R/i686-pc-linux-gnu-library/3.2/png/libs mentioned in .libPaths() .
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