Installing R packages locally: Difference between revisions
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== See also == | == See also == | ||
* [[Control_R_environment_using_modules | Control R environment on the B4F Cluster using modules]] | * [[Control_R_environment_using_modules | Control R environment on the B4F Cluster using modules]] | ||
* [[Bioinformatics_tips_tricks_workflows | Bioinformatics tips, tricks, and workflows]] | |||
== External links == | == External links == |
Revision as of 12:22, 8 December 2013
Specifying a local library search location
Specify a local library search location.
You can use several library trees of add-on packages. The easiest way to tell R to use these via a 'dotfile' by creating the following file '$HOME/.Renviron' (watch the quotes and ~ character): <source lang='bash'>
R_LIBS_USER="~/R/library"
</source>
This specifies a keyword (R_LIBS_USER
) which points to a colon-separated list of directories at which R library trees are rooted. You do not have to specify the default tree for R packages.
If necessary, create a place for your R libraries <source lang='bash'>
mkdir ~/R ~/R/library # Only need do this once
</source> Set your R library path <source lang='bash'>
echo 'R_LIBS_USER="~/R/library"' > $HOME/.Renviron
</source>
Installing to a local library search location
Start up R:
<source lang='bash'>
R # Invoke R
</source> Then, from the R environment, install the packages you require while pointing at the root R-package directory of choice. This example will install from CRAN. <source lang='rsplus'> install.packages("name-of-your-package",lib="~/R/library") </source>