recipe r-viscorvar

Overlaying of Correlation Circles and Network of Correlated Variables

Homepage:

https://gitlab.com/bilille/viscorvar

License:

GPL3

Recipe:

/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.

package r-viscorvar

(downloads) docker_r-viscorvar

versions:
0.9-3,  0.9-2,  0.9-1,  0.9-0,  0.8-1,  0.8-0,  0.7-2,  0.7-1,  0.7-0, 

0.9-3,  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

depends bioconductor-mixomics:

depends r-base:

>=4.4,<4.5.0a0

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:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here 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 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>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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