Changes between Version 21 and Version 22 of cypress/R


Ignore:
Timestamp:
02/10/20 13:55:50 (5 years ago)
Author:
cbaribault
Comment:

Created link to separate page, "Installing R Packages on Cypress", and migrated content to that page accordingly.

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  • cypress/R

    v21 v22  
    326326
    327327== [=#InstallingRPackages Installing R Packages on Cypress] ==
    328 If you want to use some R packages that are not yet installed in your desired version of R on Cypress,
    329 then you have several alternatives, as prescribed below, for locations for installing those packages. Those locations include either your user home directory or lustre sub-directory, and the methods will vary depending on your desired level of reproducibility.
    330 
    331 === [=#RPackageAlternative1 Alternative 1] - default to home sub-directory ===
    332 From your R session, you may choose to have R install its packages into a sub-directory under your home directory.
    333 By default R will create such a sub-directory whose name corresponds to the R version of your current R session and install your packages there.
    334 
    335 {{{
    336 > R.version.string
    337 [1] "R version 3.4.1 (2017-06-30)"
    338 > install.packages("copula")
    339 Installing package into ‘/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib’
    340 (as ‘lib’ is unspecified)
    341 Warning in install.packages("copula") :
    342   'lib = "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib"' is not writable
    343 Would you like to use a personal library instead?  (y/n) y
    344 Would you like to create a personal library
    345 ~/R/x86_64-pc-linux-gnu-library/3.4
    346 to install packages into?  (y/n) y
    347 --- Please select a CRAN mirror for use in this session ---
    348 PuTTY X11 proxy: unable to connect to forwarded X server: Network error: Connection refused
    349 HTTPS CRAN mirror
    350 
    351  1: 0-Cloud [https]                   2: Algeria [https]
    352 ...
    353 79: Vietnam [https]                  80: (HTTP mirrors)
    354 
    355 
    356 Selection: 77
    357 ...
    358 }}}
    359 
    360 Note that the above example was performed without X11 forwarding, resulting in a prompt at the command line for selection of a CRAN mirror site in the above, at which point you should enter the number corresponding to the desired mirror site, e.g. '''77'''.
    361 
    362 === Alternative 2 - specify your lustre sub-directory via exported environment variable ===
    363 Alternatively, if you prefer to use, say, your lustre sub-directory rather than your home directory, then you may do so via an exported environment variable setting as in the following.
    364 The environmental variable **R_LIBS_USER** points the desired location of user package(s).
    365 
    366 First, create a directory and export the environment variable.
    367 {{{
    368 mkdir -p /lustre/project/<your-group-name>/R/Library
    369 export R_LIBS_USER=/lustre/project/<your-group-name>/R/Library
    370 }}}
    371 
    372 Then run R and install a package. Note that we can use the R function **.libPaths()** as confirmation of the user library location.
    373 {{{
    374 > .libPaths()
    375 [1] "/lustre/project/<your-group-name>/R/Library"
    376 [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib"
    377 [3] "/share/apps/R/3.4.1-intel/lib64/R/library"
    378 > install.packages("copula")
    379 Installing package into ‘/lustre/project/<your-group-name>/R/Library’
    380 (as ‘lib’ is unspecified)
    381 ...
    382 }}}
    383 
    384 === Alternative 3 - specify lustre sub-directory via environment file ===
    385 Similarly, you may accomplish the above via the same environment variable setting as above but in a local file as in the following.
    386 
    387 First, create a directory as above.
    388 {{{
    389 mkdir -p /lustre/project/<your-group-name>/R/Library
    390 }}}
    391 Then setting **R_LIBS_USER** in the file **~/.Renviron** will tell R a default location.
    392 
    393 Note however that setting or unsetting the environment variable **R_LIBS_USER** in the file **~/.Renviron** will //override// any previously exported value of that same environment variable!
    394 
    395 {{{
    396 echo 'R_LIBS_USER="/lustre/project/<your-group-name>/R/Library"' > ~/.Renviron
    397 }}}
    398 Or use a text editor in order to create and edit the file **~/.Renviron** so that the file includes the following line.
    399 {{{
    400 R_LIBS_USER="/lustre/project/<your-group-name>/R/Library"
    401 }}}
    402 
    403 Then run R and install a package. Note again the use of R function **.libPaths()** as confirmation of the user library location.
    404 {{{
    405 > .libPaths()
    406 [1] "/lustre/project/<your-group-name>/R/Library"
    407 [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib"
    408 [3] "/share/apps/R/3.4.1-intel/lib64/R/library"
    409 > install.packages("copula")
    410 Installing package into ‘/lustre/project/<your-group-name>/R/Library’
    411 (as ‘lib’ is unspecified)
    412 ...
    413 }}}
    414 
    415 === Alternative 4 - specify lustre sub-directory via R profile file ===
    416 Similarly, you may set the sub-directory depending on R major.minor version via the R profile file as in the following.
    417 
    418 Edit the file **~/.Rprofile** as follows.
    419 {{{
    420 majorMinorPatch <- paste(R.version[c("major", "minor")], collapse=".")
    421 majorMinor <- gsub("(.*)\\..*", "\\1", majorMinorPatch)
    422 #print(paste0("majorMinor=", majorMinor))
    423 myLibPath <- paste0("/lustre/project/<your-group-name>/R/Library/", majorMinor)
    424 dir.create(myLibPath, showWarnings = FALSE)
    425 #print(paste0("myLibPath=", myLibPath))
    426 newLibPaths <- c(myLibPath, .libPaths())
    427 .libPaths(newLibPaths)
    428 }}}
    429 
    430 Note that setting the R library trees directly via the R function **.libPaths()** in the file **~/.Rprofile** can thus either //override// or //append// to that of any previously set value of **R_LIBS_USER**!
    431 
    432 Then run R and install a package. Note again the use of R function **.libPaths()** as confirmation of the user library location.
    433 {{{
    434 > .libPaths()
    435 [1] "/lustre/project/<your-group-name>/R/Library/3.4"
    436 [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib"
    437 [3] "/share/apps/R/3.4.1-intel/lib64/R/library"
    438 > install.packages("copula")
    439 Installing package into ‘/lustre/project/<your-group-name>/R/Library/3.4’
    440 (as ‘lib’ is unspecified)
    441 ...
    442 }}}
    443 
    444 === Alternative 5 - specify lustre sub-directory via R code ===
    445 As for yet another alternative, you can accomplish the above entirely in your R code via the following.
    446 First, create a directory as before.
    447 {{{
    448 mkdir -p /lustre/project/<your-group-name>/R/Library
    449 }}}
    450 
    451 Then run R and install a package, but note that you must also specify the location from which to load the package in the ensuing call to the R function **library()**.
    452 {{{
    453 > myLib := "/lustre/project/<your-group-name>/R/Library"
    454 > install.packages("copula",lib=myLib)
    455 ...
    456 > library(copula, lib.loc=myLib)
    457 }}}
     328See [wiki:InstallingRPackages  here.]
     329
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