recipe bioconductor-sqldataframe

Representation of SQL database in DataFrame metaphor

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-sqldataframe/meta.yaml

SQLDataFrame is developed to lazily represent and efficiently analyze SQL-based tables in _R_. SQLDataFrame supports common and familiar 'DataFrame' operations such as '[' subsetting, rbind, cbind, etc.. The internal implementation is based on the widely adopted dplyr grammar and SQL commands. In-memory datasets or plain text files (.txt, .csv, etc.) could also be easily converted into SQLDataFrames objects (which generates a new database on-disk).

package bioconductor-sqldataframe

(downloads) docker_bioconductor-sqldataframe

versions:
1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.2-0,  1.4.0-0,  1.2.0-0, 

1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.2-0,  1.4.0-0,  1.2.0-0,  1.0.0-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends bioconductor-delayedarray:

>=0.32.0,<0.33.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends r-base:

>=4.4,<4.5.0a0

depends r-dbi:

depends r-duckdb:

depends r-rsqlite:

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 bioconductor-sqldataframe

and update with::

   mamba update bioconductor-sqldataframe

To create a new environment, run:

mamba create --name myenvname bioconductor-sqldataframe

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-sqldataframe:<tag>

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

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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-sqldataframe/README.html)