recipe bioconductor-paircompviz

Multiple comparison test visualization

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/paircompviz.html

License:

GPL (>=3.0)

Recipe:

/bioconductor-paircompviz/meta.yaml

Links:

biotools: paircompviz, doi: 10.1038/nmeth.3252

This package provides visualization of the results from the multiple (i.e. pairwise) comparison tests such as pairwise.t.test, pairwise.prop.test or pairwise.wilcox.test. The groups being compared are visualized as nodes in Hasse diagram. Such approach enables very clear and vivid depiction of which group is significantly greater than which others, especially if comparing a large number of groups.

package bioconductor-paircompviz

(downloads) docker_bioconductor-paircompviz

versions:
1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0, 

1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-0

depends bioconductor-rgraphviz:

>=2.46.0,<2.47.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

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 bioconductor-paircompviz

and update with::

   mamba update bioconductor-paircompviz

To create a new environment, run:

mamba create --name myenvname bioconductor-paircompviz

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/bioconductor-paircompviz:<tag>

(see `bioconductor-paircompviz/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

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

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-paircompviz/README.html)