recipe bioconductor-easyreporting

Helps creating report for improving Reproducible Computational Research






An S4 class for facilitating the automated creation of rmarkdown files inside other packages/software even without knowing rmarkdown language. Best if implemented in functions as "recursive" style programming.

package bioconductor-easyreporting

(downloads) docker_bioconductor-easyreporting



depends r-base:


depends r-rlang:

depends r-rmarkdown:

depends r-shiny:



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-easyreporting

and update with::

   mamba update bioconductor-easyreporting

To create a new environment, run:

mamba create --name myenvname bioconductor-easyreporting

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<tag>

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

Download stats