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# `datautils`

Some little [R](http://r-project.org/) helpers to work with data, and bio-data in particular.
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To use them just source them when needed.

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Use the issue tracker to suggest changes or to report problems. Feel welcome to suggest changes to or send pull requests.
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R
===

The R bits are split up into tools for
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* general data handling, see [`core_commons.R`](R/core_commons.R)
* plotting using ggplot2, see [`ggplot_commons.R`](R/ggplot_commons.R)
* bioinformatics using various bioconductor packages, see [`bioinfo_commons.R`](R/bio/bioinfo_commons.R)

and some more.
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```
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devtools::source_url("https://git.mpi-cbg.de/bioinfo/datautils/raw/master/R/core_commons.R")
devtools::source_url("https://git.mpi-cbg.de/bioinfo/datautils/raw/master/R/ggplot_commons.R")
devtools::source_url("https://git.mpi-cbg.de/bioinfo/datautils/raw/master/R/bio/bioinfo_commons.R")
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```

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Installation
============
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To allow for reproducible research, we prefer [version tags](https://github.com/holgerbrandl/datautils/releases) over cran deployment. You can use these tags to write our workflows. Eg. you could use the stable `v1.45` tag
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```
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devtools::source_url("https://git.mpi-cbg.de/bioinfo/datautils/raw/v1.45/R/core_commons.R")
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```

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Instead to use the latest master-branch version (which is subject of constant change) use
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```
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devtools::source_url("https://git.mpi-cbg.de/bioinfo/datautils/raw/master/R/core_commons.R
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```