conda build r-ldavis/不工作 [英] conda build r-ldavis/ not working

问题描述

我是jupyter的新手，我想安装一个CRAN上可用的R包(tseries)

I am new to jupyter, and I am looking to install an R package (tseries) that is available on CRAN

我正在尝试回答一个提出的问题，但是我认为我遇到了另一个问题.

I was trying to follow a question that was raised, but I think I am getting a different problem.

我最初关注此链接

conda-如何安装"R-essentials"中不可用的R软件包?

但是很明显，答案将我定向到了另一个链接

But it seems obvious that the answer direct me to another link which is

https://www.continuum.io/content/conda-data-science

在构建conda R程序包下

under the Building a conda R package

他们说要跑步

conda skeleton cran ldavis

然后我得到了以下

C:\Users\Rami>conda skeleton cran ldavis
Tip: install CacheControl (conda package) to cache the CRAN metadata
Fetching metadata from http://cran.r-project.org/
Tip: install CacheControl (conda package) to cache the CRAN metadata
Traceback (most recent call last):
  File "d:\Users\Rami\Anaconda3\Scripts\conda-skeleton-script.py", line 5, in <module>
    sys.exit(conda_build.cli.main_skeleton.main())
  File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\cli\main_skeleton.py", line 65, in main
    return execute(sys.argv[1:])
  File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\cli\main_skeleton.py", line 61, in execute
    api.skeletonize(package, args.repo, config=config)
  File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\api.py", line 192, in skeletonize
    recursive=recursive, config=config, **kwargs)
  File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\skeletons\cran.py", line 527, in skeletonize
    raise RuntimeError("directory already exists: %s" % dir_path)
RuntimeError: directory already exists: .\r-ldavis

请逐步帮助我，因为我真的是Windows 10的新手.

Please help me in steps as I am really new to this on windows 10

推荐答案

谢谢大家的发言，但是我发现不担心r目录的最简单方法是使用以下命令直接从jupyter下载软件包

Thank you all for your remarks but the easiest way I found for not worrying about the r directory is through downloading the package directly from jupyter using the following command

install.packages('tseries', repos='http://cran.us.r-project.org')

这对我来说很好.

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