kopia lustrzana https://github.com/jupyterhub/repo2docker
Update 'how to get R' section
- Explains https://github.com/jupyterhub/repo2docker/pull/1104 - Advertises that we get RStudio 'for free' when R is installedpull/1147/head
rodzic
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@ -54,19 +54,29 @@ To specify a specific version of Python, you have two options:
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The R Language
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The R Language
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==============
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==============
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To ensure that R is installed, you must specify a version of R in a ``runtime.txt``
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repo2docker supports R, the open source `RStudio IDE <https://www.rstudio.com/>`_ as well
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file. This takes the following form::
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as Jupyter support for R with the `IRKernel <https://irkernel.github.io/>`_. To set it up,
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you need to create a ``runtime.txt`` file with the following format:
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r-YYYY-MM-DD
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r-<version>-<YYYY>-<MM>-<DD>
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The date corresponds to the state of the MRAN repository at this day. Make sure
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This will provide you R of given version (such as 4.1, 3.6, etc), and a CRAN snapshot
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that you choose a day with the desired version of your packages. For example,
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to install libraries from on the given date. You can install more R packages from CRAN
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to use the MRAN repository on January 1st, 2018, add this line to ``runtime.txt``::
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by adding a :ref:`install.R<install.R>` file to your repo. RStudio and IRKernel are
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installed by default for all R versions.
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r-2018-01-01
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If you request R 4.1 or later, or specify a snapshot date newer than
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``2022-01-01``, `packagemanager.rstudio.com <https://packagemanager.rstudio.com/client/#/>`_
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will be used to provide much faster installations via `binary packages <https://www.rstudio.com/blog/package-manager-v1-1-no-interruptions/>`_.
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For *some* packages, this might require you install underlying system libraries
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using :ref:`apt.txt` - look at the page for the CRAN package you are interested in at
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`packagemanager.rstudio.com <https://packagemanager.rstudio.com/client/#/>`_ to find
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a list.
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For older R versions with an older snapshot date, `MRAN <https://mran.microsoft.com/>`_
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is used as source of packages. This purely provides source packages, and you should
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migrate away from this if possible.
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Note that to install specific packages with the R environment, you should
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use the ``install.R`` configuration file.
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Julia
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Julia
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=====
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=====
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