:orphan:  .. only available via index, not via toctree

.. title:: Package Recipe 'r-viscorvar'
.. highlight: bash

r-viscorvar
===========

.. conda:recipe:: r-viscorvar
   :replaces_section_title:
   :noindex:

   Overlaying of Correlation Circles and Network of Correlated Variables

   :homepage: https://gitlab.com/bilille/viscorvar
   :license: GPL3
   :recipe: /`r-viscorvar <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-viscorvar>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-viscorvar/meta.yaml>`_

   visCorVar does analysis from data integration with the 
   function block.splsda \(mixOmics package\). visCorVar 
   performs the overlaying of correlation circles and a zoom
   in a rectangle to retrieve correlated variables. visCorVar 
   can create a network of correlated variables.



.. conda:package:: r-viscorvar

   |downloads_r-viscorvar| |docker_r-viscorvar|

   :versions:
      
      
      .. raw:: html

         <details><summary><span class="truncated-version-list"><code>0.9-2</code>,  <code>0.9-1</code>,  <code>0.9-0</code>,  <code>0.8-1</code>,  <code>0.8-0</code>,  <code>0.7-2</code>,  <code>0.7-1</code>,  <code>0.7-0</code>,  <code>0.6-1</code>,  </span></summary>
      

      ``0.9-2``,  ``0.9-1``,  ``0.9-0``,  ``0.8-1``,  ``0.8-0``,  ``0.7-2``,  ``0.7-1``,  ``0.7-0``,  ``0.6-1``,  ``0.6-0``

      
      .. raw:: html

         </details>
      

   
   :depends bioconductor-mixomics: 
   :depends r-base: ``>=4.3,<4.4.0a0``
   :depends r-dplyr: 
   :depends r-ellipse: 
   :depends r-igraph: 
   :depends r-knitr: 
   :depends r-rcolorbrewer: 
   :depends r-reshape2: 
   :depends r-rmarkdown: 
   :depends r-testthat: 
   :depends r-xtable: 
   :requirements:

   .. rubric:: Installation

  You need a conda-compatible package manager
  (currently either `micromamba <https://mamba.readthedocs.io>`_, `mamba <https://mamba.readthedocs.io>`_, or `conda <https://docs.conda.io/projects/conda>`_)
  and the Bioconda channel already activated (see :ref:`set-up-channels`).

  While any of above package managers is fine, it is currently recommended to use either
  micromamba or mamba (see `here <https://mamba.readthedocs.io>`_ for installation instructions).
  We will show all commands using mamba below, but the arguments are the same for the two
  others.

  Given that you already have a conda environment in which you want to have this package, install with::

      mamba install r-viscorvar

   and update with::

      mamba update r-viscorvar

  To create a new environment, run::

      mamba create --name myenvname r-viscorvar

  with ``myenvname`` being a reasonable name for the environment
  (see e.g. the `mamba docs <https://mamba.readthedocs.io>`_ for details and further options).

  Alternatively, use the docker container::

      docker pull quay.io/biocontainers/r-viscorvar:<tag>

   (see `r-viscorvar/tags`_ for valid values for ``<tag>``)


.. |downloads_r-viscorvar| image:: https://img.shields.io/conda/dn/bioconda/r-viscorvar.svg?style=flat
   :target: https://anaconda.org/bioconda/r-viscorvar
   :alt:   (downloads)
.. |docker_r-viscorvar| image:: https://quay.io/repository/biocontainers/r-viscorvar/status
   :target: https://quay.io/repository/biocontainers/r-viscorvar
.. _`r-viscorvar/tags`: https://quay.io/repository/biocontainers/r-viscorvar?tab=tags


.. raw:: html

    <script>
        var package = "r-viscorvar";
        var versions = ["0.9","0.9","0.9","0.8","0.8"];
    </script>






Download stats
-----------------

.. raw:: html
    :file: ../../templates/package_dashboard.html

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