Package Recipe 'r-graphstatsr'

recipe r-graphstatsr

A Shiny app to easily generate advanced graphics and perform some non-parametric tests, designed for metabolomics data analysis and developed by MetaBoHUB-Metatoul.

Homepage:: https://forge.inrae.fr/etienne.rifa/graphstats
License:: GPL-3.0-or-later
Recipe:: /r-graphstatsr/meta.yaml

package r-graphstatsr¶

Versions:

2.6.1-0

Depends:

on bioconductor-rhdf5
on r-base >=4.4,<4.5.0a0
on r-base64enc
on r-bit64
on r-car
on r-config >=0.3.1
on r-datamods
on r-dplyr
on r-dt
on r-factoextra
on r-ggplot2
on r-ggrepel
on r-ggstatsplot
on r-glue
on r-golem >=0.3.1
on r-gridextra
on r-htmltools
on r-openxlsx
on r-plotly
on r-pmcmrplus
on r-rcolorbrewer
on r-reshape2
on r-rlang
on r-shiny >=1.6.0
on r-shinyalert
on r-shinybs
on r-shinydashboard
on r-shinywidgets
on r-sortable
on r-stringr
on r-tibble
on r-tidyr
on r-waiter
on r-yaml

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install r-graphstatsr

to add into an existing workspace instead, run:

pixi add r-graphstatsr

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install r-graphstatsr

Alternatively, to install into a new environment, run:

conda create -n envname r-graphstatsr

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see r-graphstatsr/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an 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/r-graphstatsr/README.html)