https://github.com/rformassspectrometry/metarbolomics-book

The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.
https://github.com/rformassspectrometry/metarbolomics-book

lc-ms lc-msms lcms metabolomics metabonomics multivariate-statistics nmr nmr-data nmr-spectroscopy r rstats

Last synced: about 1 month ago
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The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.

• Host: GitHub
• URL: https://github.com/rformassspectrometry/metarbolomics-book
• Owner: rformassspectrometry
• License: cc-by-4.0
• Created: 2019-09-10T06:12:59.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-03-23T08:39:22.000Z (almost 4 years ago)
• Last Synced: 2024-05-09T12:48:44.657Z (8 months ago)
• Topics: lc-ms, lc-msms, lcms, metabolomics, metabonomics, multivariate-statistics, nmr, nmr-data, nmr-spectroscopy, r, rstats
• Language: TeX
• Homepage: https://rformassspectrometry.github.io/metaRbolomics-book/
• Size: 82.7 MB
• Stars: 32
• Watchers: 11
• Forks: 10
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![Build Status](https://travis-ci.org/rformassspectrometry/metaRbolomics-book.svg?branch=master)](https://travis-ci.org/rformassspectrometry/metaRbolomics-book)

# The MetaRbolomics book

Repository for the on-line metaRbolomics book at https://rformassspectrometry.github.io/metaRbolomics-book/

Including some active code that is executed upon each build. 

This material, unless excplicitly otherwise stated, is CC-BY 4.0 licenced.

## Docker images

There is a docker image that contains the build environment 

to render the book at https://hub.docker.com/repository/docker/sneumann/metarbolomics-book-base

Output directory and output format are configurable via environment

variables.

Also check:

https://stackoverflow.com/questions/44143110/visualizing-r-function-dependencies

https://cran.r-project.org/web/packages/miniCRAN/vignettes/miniCRAN-dependency-graph.html

https://cran.r-project.org/web/packages/pkgnet/vignettes/pkgnet-intro.html

pkgnet can analyze any R package locally installed. (Run installed.packages() to see the full list of packages installed on your system.)

## Building the book

The `travisScript.sh` uses the Docker image and builds the book in the `build` directory.

Simply run 

```

./travisScript.sh

```

to build the book. 

Output will be saved in the `build/public` directory.