FredHutch / easybuild-life-sciences

Howto and implementation documentation
https://fredhutch.github.io/easybuild-life-sciences/
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Requesting R packages ( riskRegression, missForest, and xgboost ) #168

Closed scottsisco closed 5 years ago

scottsisco commented 5 years ago

Ticket:180773

Original Message: Date: 4/8/2019 11:35:39 AM

Hello,

I am using the rhino cluster and R software for this project, and we need to use the following packages: riskRegression, missForest, and xgboost . Would it be possible to install them? This project is a bit time sensitive, I appreciate your help!

Thanks,

Ernesto

fizwit commented 5 years ago

Our local R build is becoming quite large. We are supporting over 800 packages at this time. To make this more manageable I am requesting users to install packages into your home directory. All three of the packages installed with R-3.5.3 which has the boost and armadillo libraries linked. Please note that the libraries are stored in your local directory based on architecture, OS and the version of R. ‘~/R/x86_64-pc-linux-gnu-library/3.5’

> install.packages("riskRegression")
Installing package into ‘/app/easybuild/software/R/3.5.3-foss-2016b-fh1’
(as ‘lib’ is unspecified)
Warning in install.packages("riskRegression") :
  'lib = "/app/easybuild/software/R/3.5.3-foss-2016b-fh1"' is not writable
Would you like to use a personal library instead? (yes/No/cancel) yes
Would you like to create a personal library
‘~/R/x86_64-pc-linux-gnu-library/3.5’
to install packages into? (yes/No/cancel) yes
--- Please select a CRAN mirror for use in this session ---

riskRegression, missForest can be installed in you local directory
> install.packages("missForest")
Installing package into ‘/home/jfdey/R/x86_64-pc-linux-gnu-library/3.5’
(as ‘lib’ is unspecified)
trying URL 'https://cloud.r-project.org/src/contrib/missForest_1.4.tar.gz'
Content type 'application/x-gzip' length 11376 bytes (11 KB)
==================================================
downloaded 11 KB

* installing *source* package ‘missForest’ ...
** package ‘missForest’ successfully unpacked and MD5 sums checked
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (missForest)