:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-statvisual' .. highlight: bash r-statvisual ============ .. conda:recipe:: r-statvisual :replaces_section_title: :noindex: Visualization functions in the applications of translational medicine \(TM\) and biomarker \(BM\) development to compare groups by statistically visualizing data and\/or results of analyses\, such as visualizing data by displaying in one figure different groups\' histograms\, boxplots\, densities\, scatter plots\, error\-bar plots\, or trajectory plots\, by displaying scatter plots of top principal components or dendrograms with data points colored based on group information\, or visualizing volcano plots to check the results of whole genome analyses for gene differential expression. :homepage: https://CRAN.R-project.org/package=statVisual :license: GPL3 / GPL (>= 2) :recipe: /`r-statvisual `_/`meta.yaml `_ .. conda:package:: r-statvisual |downloads_r-statvisual| |docker_r-statvisual| :versions: ``1.2.1-5``,  ``1.2.1-4``,  ``1.2.1-3``,  ``1.2.1-2``,  ``1.2.1-1``,  ``1.2.1-0``,  ``1.1.9-0``,  ``1.1.8-0`` :depends bioconductor-biobase: :depends bioconductor-limma: :depends bioconductor-pvca: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-dplyr: :depends r-factoextra: :depends r-forestplot: :depends r-gbm: :depends r-ggally: :depends r-ggdendro: :depends r-ggfortify: :depends r-ggplot2: :depends r-ggrepel: :depends r-glmnet: :depends r-gplots: :depends r-gridextra: :depends r-knitr: :depends r-magrittr: :depends r-multigroup: :depends r-pheatmap: :depends r-proc: :depends r-randomforest: :depends r-rcolorbrewer: :depends r-reshape2: :depends r-rmarkdown: :depends r-rpart.plot: :depends r-tibble: :depends r-tidyverse: :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `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 `_ 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-statvisual and update with:: mamba update r-statvisual To create a new environment, run:: mamba create --name myenvname r-statvisual 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-statvisual: (see `r-statvisual/tags`_ for valid values for ````) .. |downloads_r-statvisual| image:: https://img.shields.io/conda/dn/bioconda/r-statvisual.svg?style=flat :target: https://anaconda.org/bioconda/r-statvisual :alt: (downloads) .. |docker_r-statvisual| image:: https://quay.io/repository/biocontainers/r-statvisual/status :target: https://quay.io/repository/biocontainers/r-statvisual .. _`r-statvisual/tags`: https://quay.io/repository/biocontainers/r-statvisual?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html 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/r-statvisual/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/r-statvisual/README.html